{ "$schema": "./schema/skill.schema.json", "generatedAt": "2026-07-06T00:27:07Z", "meta": { "typeLabels": { "basic": "Basic Skill", "extra": "Extra Skill", "unique": "Unique Skill", "ultimate": "Ultimate Skill" }, "levelLabels": { "0★": "Basic", "1★": "Awakened", "2★": "Named", "3★": "Evolved", "4★": "Hardened", "5★": "Transcendent", "6★": "Apex" }, "levelColors": { "0★": { "hex": "#94a3b8", "bg": "rgba(148,163,184,.12)", "border": "rgba(148,163,184,.4)" }, "1★": { "hex": "#38bdf8", "bg": "rgba(56,189,248,.12)", "border": "rgba(56,189,248,.4)" }, "2★": { "hex": "#63cab7", "bg": "rgba(99,202,183,.15)", "border": "rgba(99,202,183,.4)" }, "3★": { "hex": "#a78bfa", "bg": "rgba(167,139,250,.15)", "border": "rgba(167,139,250,.4)" }, "4★": { "hex": "#e879f9", "bg": "rgba(232,121,249,.15)", "border": "rgba(232,121,249,.4)" }, "5★": { "hex": "#fbbf24", "bg": "rgba(251,191,36,.15)", "border": "rgba(251,191,36,.4)" }, "6★": { "hex": "#fbbf24", "bg": "rgba(251,191,36,.22)", "border": "rgba(251,191,36,.55)" } }, "typeColors": { "basic": { "hex": "#38bdf8", "rgb": "56,189,248" }, "extra": { "hex": "#c084fc", "rgb": "192,132,252" }, "unique": { "hex": "#7c3aed", "rgb": "124,58,237" }, "ultimate": { "hex": "#f59e0b", "rgb": "245,158,11" } }, "typeSymbols": { "basic": "○", "extra": "◇", "unique": "◉", "ultimate": "◆" }, "demeritLabels": { "broken-evidence": "Broken evidence", "niche-integration": "Niche integrations", "experimental-feature": "Experimental features", "heavyweight-dependency": "Heavyweight dependencies" }, "clusterNames": { "0": "Text & Modeling", "1": "Memory & Swarm", "2": "Retrieval & Web", "3": "Agent & Tool", "4": "Vector & Analysis", "5": "Autonomous & Data", "6": "Code & Review", "7": "Automation & Git" }, "centroids": [ [ -0.3078153858919522, -0.36230531368384766, 0.05167976009856717, 0.15767951894829718 ], [ 0.2659727999269131, 0.33959073555707603, 0.6269484582957358, -0.04934643157513779 ], [ -0.6805185131198298, 0.2623471789196421, -0.0818426865462019, -0.02155964604370338 ], [ 0.3616515831845724, 0.03088540790496692, 0.09334349116326124, 0.06598095859158494 ], [ -0.18587636420550366, 0.23144637434856424, 0.24717551966279605, -0.09855209214596079 ], [ -0.027495509331432844, 0.07521478768533896, -0.1536151291138505, -0.19009158749345792 ], [ 0.3317405968196157, -0.24343374843393908, -0.4434026521636592, -0.19408841310531913 ], [ 0.26012679408911377, 0.4320554588067462, -0.20957822785695637, 0.09175789679102594 ] ] }, "skills": [ { "id": "adaptive-pattern-learning", "name": "Adaptive Pattern Learning", "type": "basic", "summary": "Implements adaptive learning through pattern recognition and strategy optimization.", "description": "Records task outcomes and identifies recurring scenarios to rank optimal response strategies over time. 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patterns for research, development, testing, and analysis workflows with neural learning and cross-session state persistence.", "prerequisites": [ "swarm-topology-management", "multi-agent-debate" ], "derivatives": [], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-19", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-19T16:29:16Z", "action": "propose", "contributor": "claude", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" } ], "cluster": 1, "positions": { "deterministic": [ -0.07493970596837327, -0.06723406694400426, 0.6100895015057686, 3.6282973114492086e-05 ], "spectral": [ -0.0019835568271828075, -0.011351865256878289, -0.00797958948163527, -0.0023514315405323504 ], "semantic": [ 0.43621412266231246, 0.4189115023221471, 0.4589750657803417, -0.11180847910899375 ] }, "namedMaxLevel": "2★" }, { "id": "adversarial-robustness-testing", "name": "Adversarial Robustness Testing", "type": "extra", "description": "Systematically red-teams models with adversarial and multi-turn jailbreak prompts, input perturbations, and semantic-preserving transformations to measure resilience at scale.", "prerequisites": [ "agent-eval", "guardrails", "prompt-injection-defense" ], "derivatives": [], "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2505.04806", "evaluator": "unknown", "date": "2026-06-03", "notes": "Red Teaming the Mind of the Machine — systematic evaluation of 1400+ adversarial prompts across GPT-4/Claude 2/Mistral/Vicuna; roleplay, logic traps, encoding, multi-turn attacks (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "A", "source": "https://arxiv.org/abs/2605.01687", "evaluator": "unknown", "date": "2026-06-03", "notes": "MultiBreak: Scalable Multi-turn Jailbreak Benchmark — 10,389 multi-turn adversarial prompts across 2,665 harmful intents via active learning pipeline (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "C", "source": "https://skillsmp.com/skills/maruakshay-mii-ai-security-skills-adversarial-robustness-skill-md", "evaluator": "unknown", "date": "2026-06-03", "notes": "adversarial-robustness skill on SkillsMP — reviews AI resilience against evasion attacks, input perturbation, semantic-preserving transformations (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-06-03", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-06-03T22:48:56Z", "action": "add", "contributor": "unknown", "details": "Added generic skill adversarial-robustness-testing" }, { "timestamp": "2026-06-03T22:48:56Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://arxiv.org/abs/2505.04806" }, { "timestamp": "2026-06-03T22:48:57Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://arxiv.org/abs/2605.01687" }, { "timestamp": "2026-06-03T22:48:57Z", "action": "evidence_added", "contributor": "unknown", "details": "Added C evidence from https://skillsmp.com/skills/maruakshay-mii-ai-security-skills-adversarial-robustness-skill-md" }, { "timestamp": "2026-06-14T07:08:56Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2505.04806 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:56Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2605.01687 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:57Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://skillsmp.com/skills/maruakshay-mii-ai-security-skills-adversarial-robustness-skill-md as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ 0.00911488292331074, 0.12646354117727848, 0.6047596976010778, 0.00013768736103604635 ], "spectral": [ -0.001983556827182292, -0.011351865256876982, -0.007979589481635891, -0.0023514315405313425 ], "semantic": [ 0.00911488292331074, 0.12646354117727848, 0.6047596976010778, 0.00013768736103604635 ] } }, { "id": "agent-environment-setup", "name": "agent-environment-setup", "type": "extra", "description": "Scaffolding per-repo configuration for other engineering skills.", "prerequisites": [ "document-editing", "tool-use" ], "derivatives": [], "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-22", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-21T16:23:29Z", "action": "add", "contributor": "mbtiongson1", "details": "Added generic skill agent-environment-setup" }, { "timestamp": "2026-05-21T16:31:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-05-21T17:16:01Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added B evidence from https://github.com/mattpocock/skills/blob/main/skills/engineering/setup-matt-pocock-skills/SKILL.md" }, { "timestamp": "2026-05-21T17:19:20Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 1★ to 3★", "previousValue": "1★", "newValue": "3★" }, { "timestamp": "2026-05-21T17:19:20Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added evidence: https://github.com/mattpocock/skills/blob/main/skills/engineering/setup-matt-pocock-skills/SKILL.md", "previousValue": null, "newValue": "3★" } ], "cluster": 3, "positions": { "deterministic": [ 0.08948470284768698, -0.11978976064911223, 0.5994298936963872, 0.00023705512498627205 ], "spectral": [ -0.0019835568271825425, -0.011351865256877782, -0.007979589481635817, -0.002351431540531233 ], "semantic": [ 0.6490358132992466, 0.12905415630088807, 0.15775418750850834, -0.20365106499212074 ] }, "namedMaxLevel": "3★" }, { "id": "agent-eval", "name": "Agent Evaluation", "type": "extra", "description": "Holistically evaluates an AI agent's performance on multi-step tasks by running standardised benchmarks, scoring full interaction trajectories, and producing reproducible capability reports.", "prerequisites": [ "evaluate-output", "score-relevance" ], "derivatives": [ "skill-performance-benchmarking" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2412.14470", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "Agent-SafetyBench (2024) -- benchmark with 349 interaction environments and 2,000 test cases covering safety risks in agent deployments; establishes reproducible trajectory-level metrics. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/truera/trulens", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "TruLens -- open-source evaluation and tracking for LLM experiments and AI agents; CI, active maintenance, 5k+ stars. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 }, { "class": "B", "source": "https://github.com/Giskard-AI/giskard-oss", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "Giskard OSS -- testing library for LLM agents with automated vulnerability scanning and RAG evaluation; Apache-2 license. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-06-14T07:08:57Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2412.14470 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:57Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/truera/trulens as B (trustNumber: 70.0)" }, { "timestamp": "2026-06-14T07:08:57Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/Giskard-AI/giskard-oss as B (trustNumber: 70.0)" } ], "cluster": 3, "positions": { "deterministic": [ -0.16957857373807, 0.0292029255683085, 0.5941000897916964, 0.0003333934151143941 ], "spectral": [ -0.0019835568271829073, -0.011351865256877194, -0.007979589481636021, -0.0023514315405313646 ], "semantic": [ 0.45719823297078266, -0.08183123985797557, 0.5626267336785343, -0.2507072734576514 ] } }, { "id": "agent-handoff", "name": "agent-handoff", "type": "extra", "description": "Compacting the current conversation into a summary for a fresh agent.", "prerequisites": [ "summarize", "document-editing", "context-compression" ], "derivatives": [], "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-22", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-21T16:23:47Z", "action": "add", "contributor": "mbtiongson1", "details": "Added generic skill agent-handoff" }, { "timestamp": "2026-05-21T16:31:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-05-21T17:16:21Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added B evidence from https://github.com/mattpocock/skills/blob/main/skills/productivity/handoff/SKILL.md" }, { "timestamp": "2026-05-21T17:19:20Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 1★ to 4★", "previousValue": "1★", "newValue": "4★" }, { "timestamp": "2026-05-21T17:19:20Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added evidence: https://github.com/mattpocock/skills/blob/main/skills/productivity/handoff/SKILL.md", "previousValue": null, "newValue": "4★" } ], "cluster": 3, "positions": { "deterministic": [ 0.15635144546004756, 0.10030874763697639, 0.5887702858870056, 0.0004257396510706572 ], "spectral": [ -0.001983556827182566, -0.011351865256877376, -0.007979589481635869, -0.0023514315405309804 ], "semantic": [ 0.2635046970018661, -0.354064701701161, 0.559029188577869, -0.2501889147614643 ] }, "namedMaxLevel": "3★" }, { "id": "agent-memory-learning", "name": "Agent Memory Learning", "type": "extra", "description": "Builds self-improving agent memory by analyzing task success patterns and adapting retrieval strategies with AgentDB-backed persistence.", "prerequisites": [ "adaptive-pattern-learning", "memory-manage" ], "derivatives": [], "conditions": "", "evidence": [ { "class": "B", "source": "https://github.com/ruvnet/ruflo", "evaluator": "mbtiongson1", "date": "2026-05-19", "notes": "Ruflo orchestration platform — 34k+ GitHub stars. (backfilled — class-to-type migration)", "type": "github-stars", "trustNumber": 50.0 }, { "class": "B", "source": "https://github.com/ruvnet/ruflo", "evaluator": "mbtiongson1", "date": "2026-05-19", "notes": "Ruflo orchestration platform — 34k+ GitHub stars. (backfilled — class-to-type migration)", "type": "github-stars", "trustNumber": 50.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-19", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-19T16:29:16Z", "action": "propose", "contributor": "claude", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-05-20T00:01:32Z", "action": "merge", "contributor": "unknown", "details": "Merged learned-memory-integration into agent-memory-learning" }, { "timestamp": "2026-06-14T07:08:57Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/ruvnet/ruflo as C (trustNumber: 50.0)" }, { "timestamp": "2026-06-14T07:08:57Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/ruvnet/ruflo as C (trustNumber: 50.0)" } ], "cluster": 1, "positions": { "deterministic": [ -0.05487722860816271, -0.1970542965190824, 0.583440481982315, 0.0005131711397909937 ], "spectral": [ -0.0019835568271827256, -0.011351865256877343, -0.007979589481635758, -0.0023514315405314063 ], "semantic": [ 0.10519125351844262, 0.09061673150826581, 0.98553292487767, -0.5448077416335328 ] } }, { "id": "agent-memory-platform", "name": "Agent Memory Platform", "type": "extra", "description": "Complete AgentDB vector memory ecosystem: QUIC-synchronized distributed vector storage, adaptive pattern learning, memory pattern design, database optimization, and semantic vector search.", "prerequisites": [ "distributed-vector-memory", "agent-memory-learning", "memory-pattern-design", "vector-db-optimization", "vector-search" ], "derivatives": [], "conditions": "Requires demonstrating all 5 AgentDB discipline skills in a production distributed system context.", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-19", "updatedAt": "2026-06-20", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-19T00:00:00Z", "action": "fuse", "contributor": "mbtiongson1", "details": "Fused 5 ruvnet/agentdb discipline skills into /agent-memory-platform ultimate. Components: distributed-vector-memory, agent-memory-learning, memory-pattern-design, vector-db-optimization, vector-search. Promoted to 5★ on evidence: ruvnet/ruflo — 34k+ stars, AgentDB production deployment." }, { "timestamp": "2026-05-19T16:29:16Z", "action": "propose", "contributor": "claude", "details": "Skill created as 5★ (provisional)", "previousValue": null, "newValue": "5★" }, { "timestamp": "2026-06-20T06:47:47Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Reclassified from ultimate to extra" } ], "cluster": 1, "positions": { "deterministic": [ -0.1025979040404523, 0.19321731338643078, 0.5781106780776242, 0.000594814294741117 ], "spectral": [ -0.0019835568271826666, -0.011351865256877277, -0.007979589481635905, -0.0023514315405311795 ], "semantic": [ 0.061090796135489955, 0.5528830271159932, 0.7725394551503536, -0.08310075066986113 ] }, "namedMaxLevel": "4★" }, { "id": "agentic-workflow-design", "name": "Agentic Workflow Design", "type": "extra", "description": "Autonomously designs, authors, and iterates on complex multi-step workflows by translating high-level goals into executable DAGs or playbooks, managing task dependencies and distributed execution environments.", "prerequisites": [ "workflow-automation", "plan-decompose" ], "derivatives": [ "full-stack-developer" ], "conditions": "Requires a workflow orchestration target (e.g. Airflow, Temporal) and access to its authoring API.", "evidence": [ { "class": "B", "source": "https://github.com/apache/airflow/blob/main/AGENTS.md", "evaluator": "mbtiongson1", "date": "2026-05-14", "notes": "Airflow AGENTS.md defines agentic workflow design patterns using the TaskFlow API for dynamic DAG generation. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [ "apache/airflow" ], "status": "provisional", "createdAt": "2026-05-14", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-14T07:54:42Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 5★ (provisional)", "previousValue": null, "newValue": "5★" }, { "timestamp": "2026-05-19T22:44:52Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 5★ to 3★", "previousValue": "5★", "newValue": "3★" }, { "timestamp": "2026-06-14T07:08:57Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/apache/airflow/blob/main/AGENTS.md as B (trustNumber: 70.0)" } ], "cluster": 3, "positions": { "deterministic": [ 0.21569877614406796, -0.0799467509470983, 0.5727808741729334, 0.0006698533645044049 ], "spectral": [ -0.0019835568271827746, -0.01135186525687677, -0.007979589481635572, -0.0023514315405310546 ], "semantic": [ 0.7174481235947802, 0.21471847142226083, 0.36113556494033683, 0.18988853253958957 ] } }, { "id": "api-call", "name": "API Call", "type": "basic", "description": "Constructs, executes, and handles responses from HTTP APIs by interpreting documentation and selecting appropriate endpoints and parameters. This skill allows agents to fetch dynamic data, trigger remote actions, and interact with external systems programmatically by adhering to OpenAPI or other API specifications.", "prerequisites": [], "derivatives": [ "function-calling", "workflow-automation", "mcp-server-creation" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2305.15334", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "Gorilla (Patil et al.) — LLM that generates accurate API calls across TorchHub, TensorFlow Hub, and HuggingFace; 20.43% AST accuracy improvement over GPT-4. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "summary": "A fundamental skill that enables agents to interact with external services via HTTP API calls.", "useCase": "Useful for tasks that require real-time data fetching, invoking external web services, integrating with SaaS platforms (e.g., GitHub, Slack, JIRA), or triggering automated workflows via standard REST or GraphQL endpoints.", "directives": "- Identify the correct HTTP method (GET, POST, PUT, DELETE) and endpoint for the task.\n- Parse the API documentation to construct the required headers, authentication tokens, and request body.\n- Handle API responses gracefully, checking HTTP status codes and parsing JSON or XML payloads.\n- Implement retry logic or error handling for rate limits, timeouts, and unexpected responses.", "timeline": [ { "timestamp": "2026-06-14T07:08:48Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2305.15334 as A (trustNumber: 85.0)" } ], "cluster": 3, "positions": { "deterministic": [ -0.3786763639909561, -0.15591292028418208, 0.9440905461997218, 0.0007375385835004015 ], "spectral": [ -0.001983556827182629, -0.011351865256877336, -0.007979589481635803, -0.002351431540531226 ], "semantic": [ 0.012192182566805385, 0.017149352160943678, -0.3405838397755699, 0.13125898590434293 ] } }, { "id": "architecture-diagram", "name": "Architecture Diagram", "type": "extra", "description": "Generates technical architecture, infrastructure, or cloud diagrams as structured visual artifacts from natural-language system descriptions.", "prerequisites": [ "data-visualize", "format-output", "write-report" ], "derivatives": [], "conditions": "Requires enough system context to identify components, relationships, boundaries, and rendering constraints.", "evidence": [ { "class": "B", "source": "https://github.com/NousResearch/hermes-agent/blob/main/skills/creative/architecture-diagram/SKILL.md", "evaluator": "openai-codex", "date": "2026-05-06", "notes": "Hermes Agent architecture-diagram skill generates standalone HTML files with inline SVG architecture diagrams from system descriptions. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [ "NousResearch/hermes-agent" ], "status": "provisional", "createdAt": "2026-05-06", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-06-14T07:08:57Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/NousResearch/hermes-agent/blob/main/skills/creative/architecture-diagram/SKILL.md as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ 0.10667517791023653, 0.23184407801664067, 0.562121266363552, 0.000797193663394657 ], "spectral": [ -0.0019835568271829576, -0.011351865256877602, -0.007979589481635683, -0.0023514315405315034 ], "semantic": [ -0.029476733261256924, -0.20366513374227233, -0.15669100631333757, 0.4485023915291395 ] } }, { "id": "audience-model", "name": "Audience Model", "type": "basic", "description": "Adapts tone, complexity, and framing of output to match a target audience profile.", "prerequisites": [], "derivatives": [ "ghostwrite", "translation-pipeline", "humanize-prose" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-02", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-05-25T04:25:30Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 1★ to 0★" }, { "timestamp": "2026-05-25T04:44:23Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 1★ to 0★", "previousValue": "1★", "newValue": "0★" }, { "timestamp": "2026-06-02T23:45:10Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/gaia-registry/gaia/blob/main/docs/evidence/audienceModel.md" } ], "cluster": 0, "positions": { "deterministic": [ 0.13154816794673418, -0.42627821029338453, 0.9263245331840859, 0.0008482225503482161 ], "spectral": [ -0.0019835568271824957, -0.011351865256877295, -0.007979589481635841, -0.0023514315405317628 ], "semantic": [ -0.25798685526451, -0.6252510724331811, 0.07016447602051476, -0.10403164598371224 ] } }, { "id": "automated-testing", "name": "Automated Testing", "type": "extra", "description": "Generates test suites, executes them in a sandbox, interprets failures, and iterates until the target pass rate is reached.", "prerequisites": [ "generate-test", "code-execution", "error-interpretation" ], "derivatives": [ "full-stack-developer", "ml-pipeline", "e2e-testing", "founder-mode-orchestration" ], "conditions": "", "evidence": [ { "class": "B", "source": "https://github.com/princeton-nlp/SWE-bench", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "SWE-bench Verified — open-source evaluation harness where agents fix GitHub issues by generating and passing test suites; full execution logs archived. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-06-14T07:08:57Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/princeton-nlp/SWE-bench as B (trustNumber: 70.0)" } ], "cluster": 6, "positions": { "deterministic": [ -0.24302036259475382, 0.13922800492673257, 0.5514616585541705, 0.0008901153805905459 ], "spectral": [ -0.0019835568271827134, -0.011351865256877562, -0.007979589481635702, -0.002351431540531934 ], "semantic": [ 0.5341567202328946, 0.17971330147693038, -0.49100373457474106, -0.06332045352400448 ] }, "namedMaxLevel": "2★" }, { "id": "autonomous-data-scientist", "name": "Autonomous Data Scientist", "type": "extra", "description": "Conducts end-to-end data science workflows autonomously: hypothesis generation, data analysis, statistical modeling, and insight reporting.", "prerequisites": [ "data-analysis", "math-reason", "research" ], "derivatives": [], "conditions": "Requires dataset access and compute environment. Minimum 3 Class A/B evidence sources.", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2210.12641", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "DS-1000 — benchmark of 1000 data science problems across NumPy/Pandas/Scikit-learn; GPT-4 achieves 43.3% pass@1, establishing reproducible DS evaluation. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "A", "source": "https://arxiv.org/abs/2208.01756", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "AutoML Survey (He et al., ACM CSUR) — systematic review of autonomous ML pipeline search; demonstrates automated feature engineering, model selection, and HPO. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/microsoft/autogen", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "AutoGen (Microsoft) — multi-agent framework with reproducible data science notebooks; science agent achieves 44.3% on DS-1000 with full execution logs. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "title": "Primordial Oracle", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 5★ (provisional)", "previousValue": null, "newValue": "5★" }, { "timestamp": "2026-05-18T15:45:47Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Type adjusted from ultimate to extra", "previousValue": "ultimate", "newValue": "extra" }, { "timestamp": "2026-06-14T07:08:57Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2210.12641 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:57Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2208.01756 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:58Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/microsoft/autogen as B (trustNumber: 70.0)" } ], "cluster": 5, "positions": { "deterministic": [ 0.2800488217517881, 0.06157700505930751, 0.5461318546494798, 0.0009224535748097937 ], "spectral": [ -0.0019835568271829996, -0.011351865256878303, -0.007979589481635062, -0.002351431540532636 ], "semantic": [ 0.09983044574618943, 0.36284419802917295, -0.15604539637702136, -0.1984832661210007 ] } }, { "id": "autonomous-debug", "name": "Autonomous Debug", "type": "extra", "description": "Independently identifies, diagnoses, and fixes software bugs through code generation and execution.", "prerequisites": [ "code-generation", "code-execution", "error-interpretation" ], "derivatives": [], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-05-18T09:04:22Z", "action": "evidence_added", "contributor": "jules", "details": "Added evidence: https://github.com/cognition-labs/devin", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-05-25T03:46:19Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 4★ to 3★" }, { "timestamp": "2026-05-25T03:46:22Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 4★ to 3★", "previousValue": "4★", "newValue": "3★" }, { "timestamp": "2026-05-25T04:25:30Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 3★ to 2★" }, { "timestamp": "2026-05-25T04:44:23Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 3★ to 1★", "previousValue": "3★", "newValue": "1★" } ], "cluster": 6, "positions": { "deterministic": [ -0.17376924056335044, -0.24472825251054645, 0.5408020507447892, 0.0009449140204589064 ], "spectral": [ -0.0019835568271827832, -0.011351865256877229, -0.007979589481635609, -0.002351431540531456 ], "semantic": [ 0.47854583396037137, -0.16828127897697578, -0.5644326789291437, -0.14149915965929616 ] }, "namedMaxLevel": "3★" }, { "id": "autonomous-engineering-platform", "name": "Autonomous Engineering Platform", "type": "basic", "description": "An autonomous engineering platform integrating chat, specs, tasks, and code for full agentic software delivery.", "prerequisites": [], "derivatives": [], "evidence": [ { "class": "B", "source": "https://github.com/changkun/wallfacer", "evaluator": "unknown", "date": "2026-05-23", "notes": "Auto-discovered from github. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 }, { "class": "B", "source": "https://github.com/Taoidle/plan-cascade", "evaluator": "unknown", "date": "2026-05-23", "notes": "Auto-discovered from github. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-23", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-22T20:50:17Z", "action": "add", "contributor": "unknown", "details": "Added generic skill autonomous-engineering-platform" }, { "timestamp": "2026-05-22T20:51:30Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/changkun/wallfacer" }, { "timestamp": "2026-05-22T20:51:38Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/Taoidle/plan-cascade" }, { "timestamp": "2026-05-22T20:53:00Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-06-14T07:08:48Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/changkun/wallfacer as B (trustNumber: 70.0)" }, { "timestamp": "2026-06-14T07:08:48Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/Taoidle/plan-cascade as B (trustNumber: 70.0)" } ], "cluster": 3, "positions": { "deterministic": [ -0.06799841427173045, 0.5086999770194893, 0.8907925071528142, 0.0009572723001893948 ], "spectral": [ -0.14990826214056882, -0.4586984422901277, 0.22822800089811032, -0.28714502545616777 ], "semantic": [ 0.5545372227029581, 0.02274092365631077, 0.19179182017067373, 0.20768076699697308 ] } }, { "id": "autonomous-web-research", "name": "Autonomous Web Research", "type": "extra", "description": "Independently surveys, maps, and extracts structured information from the web by autonomously deciding which domains to crawl and synthesizing data into comprehensive research reports.", "prerequisites": [ "ghostwrite", "knowledge-harvest", "research", "web-scrape", "web-search" ], "derivatives": [], "conditions": "Requires a multi-step crawling engine and mapping logic to resolve site structures.", "evidence": [ { "class": "B", "source": "https://github.com/firecrawl/firecrawl-mcp-server", "evaluator": "mbtiongson1", "date": "2026-05-14", "notes": "Firecrawl's Map and Crawl logic combined with the firecrawl_agent tool enables autonomous multi-source web research. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 }, { "class": "B", "source": "https://github.com/balukosuri/Andrej-Karpathy-s-Autoresearch-As-a-Universal-Skill", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "Community reproduction of Karpathy's autoresearch pattern as a universal agent skill, demonstrating generalizability beyond the original repo. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [ "firecrawl/mcp" ], "status": "provisional", "createdAt": "2026-05-14", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-14T07:54:42Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-05-20T00:01:42Z", "action": "merge", "contributor": "unknown", "details": "Merged autonomous-research-agent into autonomous-web-research" }, { "timestamp": "2026-05-20T00:05:31Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added evidence: https://github.com/balukosuri/Andrej-Karpathy-s-Autoresearch-As-a-Universal-Skill", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-06-14T07:08:58Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/firecrawl/firecrawl-mcp-server as B (trustNumber: 70.0)" }, { "timestamp": "2026-06-14T07:08:58Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/balukosuri/Andrej-Karpathy-s-Autoresearch-As-a-Universal-Skill as B (trustNumber: 70.0)" } ], "cluster": 2, "positions": { "deterministic": [ 0.24043178972362816, -0.20477578242302297, 0.5301424429354077, 0.0009594049341552955 ], "spectral": [ -0.0019835568271826614, -0.011351865256877113, -0.007979589481635458, -0.0023514315405315125 ], "semantic": [ -0.6071230564344543, 0.23899455435641156, 0.056072753100825025, -0.2698637367595958 ] }, "namedMaxLevel": "2★" }, { "id": "bioinformatic-sequence-analysis", "name": "Bioinformatic Sequence Analysis", "type": "basic", "description": "Performs biological sequence alignment, similarity searches, multiple sequence alignment (MSA), and genomic variant analysis using standard bioinformatics tools and databases.", "prerequisites": [], "derivatives": [], "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-23", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-22T20:22:10Z", "action": "add", "contributor": "unknown", "details": "Added generic skill bioinformatic-sequence-analysis" }, { "timestamp": "2026-05-22T20:22:11Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills" }, { "timestamp": "2026-05-22T20:22:20Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/protein_sequence_similarity_search/SKILL.md" }, { "timestamp": "2026-05-22T20:28:53Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" } ], "cluster": 4, "positions": { "deterministic": [ -0.5445309661822016, -0.022869922467748948, 0.8730264941371786, 0.0009512906137829765 ], "spectral": [ -0.0019835568271823188, -0.011351865256879617, -0.007979589481634795, -0.002351431540532971 ], "semantic": [ -0.46826616990610564, 0.5302461152341127, -0.23335798417405357, 0.1098971306846251 ] } }, { "id": "brainstorming", "name": "Brainstorming", "type": "extra", "description": "Explores user intent, requirements, and design before implementation.", "prerequisites": [ "requirements-analysis", "question-answer" ], "derivatives": [ "superpowers" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-18", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-18T14:11:08Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-05-19T13:55:59Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Type adjusted from basic to extra", "previousValue": "basic", "newValue": "extra" } ], "cluster": 5, "positions": { "deterministic": [ 0.23485249247686418, 0.23528628253065365, 0.5194828351260261, 0.0009330104146793604 ], "spectral": [ -0.0019835568271823222, -0.01135186525687709, -0.007979589481635541, -0.002351431540530814 ], "semantic": [ 0.2755549319896498, -0.2627979837500424, -0.09227462953900288, -0.17795917351842203 ] }, "namedMaxLevel": "3★" }, { "id": "browser-automation", "name": "Browser Automation", "type": "extra", "description": "Navigates web pages, fills forms, clicks elements, and extracts information by combining web search with screenshot-based GUI control to complete multi-step web tasks.", "prerequisites": [ "web-search", "computer-use" ], "derivatives": [ "autonomous-web-research", "e2e-testing", "x-twitter-automation", "founder-mode-orchestration" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2401.13919", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "WebVoyager (He et al., 2024) — end-to-end web agent with GPT-4V; 59.1% task success on real-world web tasks across 15 popular websites. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/web-arena-x/webarena", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "WebArena — self-hosted web environment with 812 realistic tasks; reproducible benchmark with ground-truth evaluation scripts. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-06-14T07:08:58Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2401.13919 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:58Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/web-arena-x/webarena as B (trustNumber: 70.0)" } ], "cluster": 3, "positions": { "deterministic": [ -0.017832486221082914, -0.34235185677060037, 0.5141530312213354, 0.0009047469865512598 ], "spectral": [ -0.0019835568271828396, -0.011351865256877524, -0.007979589481635588, -0.00235143154053214 ], "semantic": [ -0.005952942334225572, 0.09576968558059208, 0.005243389227344951, 0.1619521839932817 ] } }, { "id": "browser-control", "name": "Browser Control", "type": "basic", "summary": "A foundational skill for interacting directly with the web browser using Chrome DevTools Protocol (CDP).", "description": "Directly controls a web browser via low-level protocols (like CDP) to manipulate the DOM, manage cookies, intercept network traffic, and simulate user interactions (clicking via coordinates, taking screenshots) without relying on heavy wrapper frameworks like Playwright or Puppeteer.", "useCase": "When an agent needs to autonomously browse web pages, extract visual and structural information via screenshots or DOM parsing, and interact with the page by firing synthetic mouse and keyboard events using the browser's compositor level.", "directives": "- Prioritize visual verification via screenshots before executing clicks or DOM interactions.\n- Use coordinate-based interactions rather than complex selector-based DOM queries when possible.\n- Rely on HTTP requests for bulk data fetching rather than browser navigation when applicable.\n- Assume the browser runs either via a local debug connection (CDP on port 9222) or through a remote session using Browser Use.", "prerequisites": [], "derivatives": [ "browser-automation", "founder-mode-orchestration" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-14", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-14T09:36:10Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" } ], "cluster": 3, "positions": { "deterministic": [ -0.37589480941185793, 0.4475891071773176, 0.8463774746137249, 0.0008667827282298838 ], "spectral": [ -0.001983556827183237, -0.011351865256878022, -0.007979589481636002, -0.0023514315405322025 ], "semantic": [ 0.06571359446721829, 0.10038576556158077, -0.11350344846767088, 0.22151242202580376 ] }, "namedMaxLevel": "3★" }, { "id": "career-operations", "name": "Career Operations", "type": "extra", "description": "Orchestrates an end-to-end job application pipeline, including automated search, fit evaluation, and tailored CV/cover letter generation.", "prerequisites": [ "autonomous-web-research", "summarize", "document-editing" ], "derivatives": [], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-14", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-14T09:36:10Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" } ], "cluster": 5, "positions": { "deterministic": [ 0.3524864157228499, -0.04813407907762716, 0.5034934234119538, 0.000819496966035064 ], "spectral": [ -0.001983556827183062, -0.011351865256877581, -0.007979589481635732, -0.0023514315405312926 ], "semantic": [ 0.09509602897723259, 0.23842761815181587, -0.10722994619994451, -0.009969752352480507 ] }, "namedMaxLevel": "2★" }, { "id": "causal-inference", "name": "Causal Inference", "type": "extra", "description": "Estimates treatment effects and identifies causal relationships from observational and experimental data using propensity scoring, instrumental variables, and causal graphs.", "prerequisites": [ "hypothesis-generate", "logical-inference", "statistical-analysis" ], "derivatives": [], "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2410.08770", "evaluator": "unknown", "date": "2026-06-03", "notes": "Causal machine learning for predicting treatment outcomes — individualized treatment effects from RCT + observational data; published Nature Medicine 2024 (Feuerriegel et al.) (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/aj-geddes/useful-ai-prompts/blob/main/skills/causal-inference/SKILL.md", "evaluator": "unknown", "date": "2026-06-03", "notes": "SKILL.md: Causal Inference — propensity scoring, instrumental variables, causal graphs, treatment effects, policy evaluation (aj-geddes) (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-06-03", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-06-03T22:48:54Z", "action": "add", "contributor": "unknown", "details": "Added generic skill causal-inference" }, { "timestamp": "2026-06-03T22:48:54Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://arxiv.org/abs/2410.08770" }, { "timestamp": "2026-06-03T22:48:54Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/aj-geddes/useful-ai-prompts/blob/main/skills/causal-inference/SKILL.md" }, { "timestamp": "2026-06-14T07:08:58Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2410.08770 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:58Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/aj-geddes/useful-ai-prompts/blob/main/skills/causal-inference/SKILL.md as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ -0.30167851885912234, -0.20892867561543554, 0.4981636195072631, 0.0007633621636720562 ], "spectral": [ -0.0019835568271826774, -0.01135186525687797, -0.007979589481635496, -0.002351431540532081 ], "semantic": [ -0.30167851885912234, -0.20892867561543554, 0.4981636195072631, 0.0007633621636720562 ] } }, { "id": "chain-of-thought", "name": "Chain-of-Thought Reasoning", "type": "basic", "description": "Produces explicit intermediate reasoning steps before arriving at a final answer, dramatically improving accuracy on multi-step problems.", "prerequisites": [], "derivatives": [ "multi-agent-debate", "re-act-reasoning", "scientific-discovery", "tree-of-thought" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2201.11903", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "Wei et al. (2022) — Chain-of-Thought Prompting; +18% on GSM8K and +14% on MATH with PaLM 540B vs standard prompting. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-05-25T04:25:31Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 1★ to 0★" }, { "timestamp": "2026-05-25T04:44:23Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 1★ to 0★", "previousValue": "1★", "newValue": "0★" }, { "timestamp": "2026-06-02T23:45:10Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/princeton-nlp/chain-of-thought-hub" }, { "timestamp": "2026-06-14T07:08:48Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2201.11903 as A (trustNumber: 85.0)" } ], "cluster": 5, "positions": { "deterministic": [ 0.1341226654432089, 0.6047412056484824, 0.8197284550902711, 0.0006989392015303733 ], "spectral": [ -0.0019835568271830985, -0.011351865256878054, -0.007979589481635465, -0.002351431540532199 ], "semantic": [ 0.21880932745463427, -0.35154577182779767, 0.18838269165928004, -0.34326937789197187 ] } }, { "id": "chunk-document", "name": "Chunk Document", "type": "basic", "description": "Splits a document into semantically meaningful segments optimized for embedding and retrieval.", "prerequisites": [], "derivatives": [ "rag-pipeline" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-02", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-05-25T04:25:31Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 1★ to 0★" }, { "timestamp": "2026-05-25T04:44:23Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 1★ to 0★", "previousValue": "1★", "newValue": "0★" }, { "timestamp": "2026-06-02T23:45:10Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/gaia-registry/gaia/blob/main/docs/evidence/chunkDocument.md" } ], "cluster": 2, "positions": { "deterministic": [ 0.3121138249798656, -0.5486443708145463, 0.8108454485824532, 0.0006268717725523345 ], "spectral": [ -0.0019835568271834025, -0.011351865256876979, -0.007979589481635758, -0.002351431540532451 ], "semantic": [ -0.9348176499470284, -0.08376322743180131, 0.13174585009915454, 0.23041446151857523 ] } }, { "id": "cite-sources", "name": "Cite Sources", "type": "basic", "description": "Attributes claims to specific sources with proper references, URLs, or bibliographic entries.", "prerequisites": [], "derivatives": [ "registry-entry-audit", "grounding", "research", "literature-review", "scientific-writing" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-02", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-05-25T04:25:31Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 1★ to 0★" }, { "timestamp": "2026-05-25T04:44:23Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 1★ to 0★", "previousValue": "1★", "newValue": "0★" }, { "timestamp": "2026-06-02T23:45:10Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/gaia-registry/gaia/blob/main/docs/evidence/citeSources.md" } ], "cluster": 2, "positions": { "deterministic": [ -0.6146387328928979, 0.19500597395295602, 0.8019624420746353, 0.0005478799506659643 ], "spectral": [ -0.0019835568271828223, -0.011351865256877492, -0.007979589481635461, -0.002351431540531561 ], "semantic": [ -0.6103874198868753, 0.05857240420688896, -0.2088852589603108, -0.5288169952997452 ] } }, { "id": "classify", "name": "Classify", "type": "basic", "description": "Assigns one or more categorical labels to an input based on learned or rule-based criteria.", "prerequisites": [], "derivatives": [ "content-moderation", "guardrails" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-02", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 0★ (provisional)", "previousValue": null, "newValue": "0★" }, { "timestamp": "2026-06-02T23:45:10Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/gaia-registry/gaia/blob/main/docs/evidence/classify.md" } ], "cluster": 0, "positions": { "deterministic": [ 0.5916075502207558, 0.2738364347275369, 0.7930794355668174, 0.0004627529960443258 ], "spectral": [ -0.001983556827182258, -0.01135186525687699, -0.007979589481636002, -0.0023514315405312163 ], "semantic": [ -0.3398586613286723, -0.2606249468458673, 0.0739591011991095, -0.2391894666489141 ] } }, { "id": "cli-modernization", "name": "CLI Modernization", "type": "basic", "description": "Refactors command-line interfaces for improved UX, plugin architecture, and extensibility.", "prerequisites": [], "derivatives": [], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-19", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-19T16:29:16Z", "action": "propose", "contributor": "claude", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" } ], "cluster": 3, "positions": { "deterministic": [ -0.2585675905141741, -0.6134380513618343, 0.7841964290589994, 0.0003723414690787687 ], "spectral": [ -0.0019835568271827377, -0.011351865256880408, -0.007979589481634788, -0.0023514315405335864 ], "semantic": [ 0.43963884928993946, 0.10212090543023981, -0.30248736056566494, 0.40863864379845966 ] }, "namedMaxLevel": "2★" }, { "id": "clinical-data-retrieval", "name": "Clinical Data Retrieval", "type": "basic", "description": "Retrieves and parses clinical trial records, drug approvals, regulatory filings, or medical variant databases (e.g. ClinicalTrials.gov, OpenFDA, ClinVar).", "prerequisites": [], "derivatives": [], "evidence": [ { "class": "B", "source": "https://github.com/google-deepmind/science-skills", "evaluator": "unknown", "date": "2026-05-23", "notes": "Foundational canonical generic skill for Clinical Data Retrieval. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-23", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-22T20:22:10Z", "action": "add", "contributor": "unknown", "details": "Added generic skill clinical-data-retrieval" }, { "timestamp": "2026-05-22T20:22:10Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills" }, { "timestamp": "2026-05-22T20:22:36Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/clinical_trials_database/SKILL.md" }, { "timestamp": "2026-05-22T20:22:37Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/openfda_database/SKILL.md" }, { "timestamp": "2026-05-22T20:22:38Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/clinvar_database/SKILL.md" }, { "timestamp": "2026-05-22T20:22:39Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/opentargets_database/SKILL.md" }, { "timestamp": "2026-05-22T20:28:53Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-06-14T07:08:48Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/google-deepmind/science-skills as B (trustNumber: 70.0)" } ], "cluster": 2, "positions": { "deterministic": [ -0.23042003531260263, 0.6345692541198058, 0.7753134225511816, 0.00027754873186065543 ], "spectral": [ 0.30131332861640225, 0.6825544033737204, -0.28313320851551477, 0.796472459911191 ], "semantic": [ -0.6673839806075812, 0.642943158271487, -0.24715340373437988, -0.1392514791307955 ] } }, { "id": "cloud-platform-management", "name": "Cloud Platform Management", "type": "extra", "description": "Full lifecycle management of cloud AI platforms including user auth, sandbox environments, app store deployment, payments, and challenge systems. Home of the Queen Seraphina AI assistant.", "prerequisites": [ "api-call", "tool-use" ], "derivatives": [], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-19", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-19T16:29:16Z", "action": "propose", "contributor": "claude", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" } ], "cluster": 1, "positions": { "deterministic": [ 0.361722126411685, -0.19160919087708828, 0.46085499217442794, 0.00017932192208595666 ], "spectral": [ -0.0019835568271822706, -0.011351865256877163, -0.007979589481635586, -0.0023514315405309526 ], "semantic": [ 0.3835945671477925, 0.547795061964323, 0.4193096049442909, 0.14626443134582107 ] }, "namedMaxLevel": "2★" }, { "id": "code-execution", "name": "Code Execution", "type": "basic", "description": "Writes and executes code in a sandboxed environment, uses the runtime output to verify correctness, and iterates until the result is correct.", "prerequisites": [], "derivatives": [ "automated-testing", "autonomous-debug", "code-review-pipeline", "deployment-automation", "registry-curation", "release-automation", "using-git-worktrees", "verification-before-completion" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2211.10435", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "PAL (Gao et al., 2023) — Program-Aided Language Models; delegates computation to Python interpreter, achieving +7% on GSM8K over direct CoT. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/reasoning-machines/pal", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "PAL repo — reproducible harness across 13 reasoning benchmarks; evaluation scripts and baseline comparisons included. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-05-20T00:01:39Z", "action": "merge", "contributor": "unknown", "details": "Merged execute-bash into code-execution" }, { "timestamp": "2026-05-20T00:05:31Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added evidence: https://github.com/gaia-registry/gaia/blob/main/docs/evidence/executeBash.md", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-05-25T04:25:31Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 2★ to 1★" }, { "timestamp": "2026-05-25T04:44:23Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 2★ to 0★", "previousValue": "2★", "newValue": "0★" }, { "timestamp": "2026-06-02T23:45:10Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/gaia-registry/gaia/blob/main/docs/evidence/executeBash.md" }, { "timestamp": "2026-06-14T07:08:48Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2211.10435 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:49Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/reasoning-machines/pal as B (trustNumber: 70.0)" } ], "cluster": 6, "positions": { "deterministic": [ -0.6737293336679727, -0.17749537138481208, 0.7575474095355458, 7.864248956847504e-05 ], "spectral": [ -0.001983556827182721, -0.011351865256877322, -0.007979589481635586, -0.002351431540531642 ], "semantic": [ 0.49879867306709474, -0.14572994489085142, -0.4570103766319385, 0.03360216076334356 ] } }, { "id": "code-explain", "name": "Code Explain", "type": "basic", "description": "Generates accurate natural-language explanations of source code, describing intent, logic flow, and key decisions at function or module level.", "prerequisites": [], "derivatives": [ "code-review-pipeline", "autonomous-debug" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2109.00859", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "CodeT5 (Wang et al., 2021) -- unified pre-trained model for code understanding and generation; 73.7 BLEU on CodeSearchNet code summarization (Python), SOTA across 4 programming languages on the NL4Code benchmark. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/salesforce/CodeT5", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "Salesforce CodeT5/CodeT5+ open-source repository -- reproducible fine-tuning and evaluation scripts for code summarization, generation, and translation across 8 programming languages. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-06-14T07:08:49Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2109.00859 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:49Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/salesforce/CodeT5 as B (trustNumber: 70.0)" } ], "cluster": 6, "positions": { "deterministic": [ 0.3788277697957171, 0.5918734202472671, 0.748664403027728, -2.3483610082271247e-05 ], "spectral": [ -0.001983556827182566, -0.01135186525687677, -0.007979589481636289, -0.002351431540531006 ], "semantic": [ 0.052505052102769775, -0.5596278025035336, -0.40773769185999703, -0.07807505960144832 ] } }, { "id": "code-generation", "name": "Code Generation", "type": "basic", "description": "Produces syntactically correct and functionally appropriate source code from specifications or prompts.", "prerequisites": [], "derivatives": [ "autonomous-debug", "code-review-pipeline", "registry-curation", "tool-creation", "ml-pipeline", "skill-authoring", "founder-mode-orchestration" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-02", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-05-25T04:25:31Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 1★ to 0★" }, { "timestamp": "2026-05-25T04:44:23Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 1★ to 0★", "previousValue": "1★", "newValue": "0★" }, { "timestamp": "2026-06-02T23:45:11Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/gaia-registry/gaia/blob/main/docs/evidence/codeGeneration.md" } ], "cluster": 6, "positions": { "deterministic": [ 0.11882454485638583, -0.7036069230578519, 0.73978139651991, -0.00012603596663697178 ], "spectral": [ -0.0019835568271825907, -0.011351865256877343, -0.0079795894816356, -0.002351431540531502 ], "semantic": [ 0.253980899859425, -0.6274367601631268, -0.6174220489476421, 0.08417632037613372 ] }, "namedMaxLevel": "3★" }, { "id": "code-review-pipeline", "name": "Code Review Pipeline", "type": "extra", "description": "Performs automated code review by generating, diffing, and evaluating code changes for correctness, style, security, and maintainability.", "prerequisites": [ "code-generation", "diff-content", "evaluate-output" ], "derivatives": [ "full-stack-developer", "security-audit", "founder-mode-orchestration", "finishing-a-development-branch", "subagent-driven-development", "requesting-code-review" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2203.09095", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "CodeReviewer (Microsoft) — pre-trained model for code review tasks; 28.7% BLEU improvement on comment generation and change quality prediction. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-05-25T03:45:35Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 3★ to 2★" }, { "timestamp": "2026-05-25T03:46:10Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 3★ to 2★", "previousValue": "3★", "newValue": "2★" }, { "timestamp": "2026-06-14T07:08:58Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2203.09095 as A (trustNumber: 85.0)" } ], "cluster": 6, "positions": { "deterministic": [ -0.34477930704932624, 0.26501505223066946, 0.4395357765556649, -0.00022798991084823408 ], "spectral": [ -0.0019835568271826323, -0.01135186525687739, -0.007979589481635635, -0.0023514315405315 ], "semantic": [ 0.355824454641437, -0.20066783404688796, -0.7991667988541961, -0.00015286971927857228 ] }, "namedMaxLevel": "3★" }, { "id": "collaborative-diagramming", "name": "Collaborative Diagramming", "type": "extra", "description": "Generates and manages digital diagrams, flowcharts, and architecture maps in web-native or collaborative formats, optimized for hand-drawn aesthetics or structured vector output.", "prerequisites": [ "api-call", "data-visualize" ], "derivatives": [], "conditions": "", "evidence": [ { "class": "B", "source": "https://github.com/excalidraw/excalidraw", "evaluator": "gemini-cli", "date": "2026-05-17", "notes": "Excalidraw -- virtual whiteboard for sketching hand-drawn like diagrams; widespread adoption for developer documentation. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [ "NousResearch/hermes-agent" ], "status": "provisional", "createdAt": "2026-05-17", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-17T13:00:26Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-06-14T07:08:58Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/excalidraw/excalidraw as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ 0.435315479398771, 0.03579704264161334, 0.4342059726509742, -0.00032832675260699234 ], "spectral": [ -0.001983556827182279, -0.011351865256877496, -0.007979589481635579, -0.002351431540531368 ], "semantic": [ -0.0032063518619001733, -0.034031757428389126, -0.23181835110180435, 0.4229211487139307 ] } }, { "id": "computational-biology-workflows", "name": "Computational Biology Workflows", "type": "extra", "description": "Integrates structural, genomic, proteomic, and molecular database querying with bioinformatics analysis (such as sequence alignment, structure prediction, and molecular rendering) to solve multi-step, complex computational biology tasks.", "prerequisites": [ "bioinformatic-sequence-analysis", "genomic-data-retrieval", "molecular-databases", "protein-structure-analysis", "proteomic-data-retrieval" ], "derivatives": [], "evidence": [ { "class": "B", "source": "https://github.com/google-deepmind/science-skills", "evaluator": "unknown", "date": "2026-05-23", "notes": "Foundational canonical generic skill for Computational Biology Workflows. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-23", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-22T20:22:12Z", "action": "add", "contributor": "unknown", "details": "Added generic skill computational-biology-workflows" }, { "timestamp": "2026-05-22T20:22:12Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills" }, { "timestamp": "2026-05-22T20:22:40Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/alphafold_database_fetch_and_analyze/SKILL.md" }, { "timestamp": "2026-05-22T20:22:41Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/alphagenome_single_variant_analysis/SKILL.md" }, { "timestamp": "2026-05-22T20:22:42Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/protein_sequence_msa/SKILL.md" }, { "timestamp": "2026-05-22T20:28:53Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-06-14T07:08:58Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/google-deepmind/science-skills as B (trustNumber: 70.0)" } ], "cluster": 5, "positions": { "deterministic": [ -0.3035442097690042, -0.3263721491599332, 0.42887616874628354, -0.00042604395935734294 ], "spectral": [ -0.001983556827183404, -0.011351865256878877, -0.007979589481634896, -0.0023514315405339186 ], "semantic": [ -0.25813478418213626, 0.6625781274117009, -0.21894574369689615, 0.22415508239373017 ] } }, { "id": "computer-use", "name": "Computer Use", "type": "basic", "description": "Controls desktop GUIs and web browsers by interpreting screenshots, issuing mouse/keyboard actions, and verifying visual state to complete open-ended computer tasks.", "prerequisites": [], "derivatives": [ "browser-automation" ], "conditions": "Requires screenshot observation loop and action executor (click, type, scroll).", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2307.13854", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "WebArena (Zhou et al., 2023) — realistic 812-task benchmark for autonomous web agents; establishes controlled eval for GUI-based computer use. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/xlang-ai/OSWorld", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "OSWorld — 369 computer tasks across real OS environments (Windows, macOS, Ubuntu); reproducible VM-based evaluation harness. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-06-14T07:08:49Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2307.13854 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:49Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/xlang-ai/OSWorld as B (trustNumber: 70.0)" } ], "cluster": 3, "positions": { "deterministic": [ 0.0016291772628136232, 0.7480115192763743, 0.7042493704886383, -0.0005201651730704513 ], "spectral": [ -0.0019835568271826414, -0.011351865256877203, -0.007979589481635982, -0.0023514315405322407 ], "semantic": [ 0.19491360298427443, -0.016228000725984616, -0.13075182045894335, 0.2749281540954443 ] } }, { "id": "content-moderation", "name": "Content Moderation", "type": "extra", "description": "Detects policy-violating content by combining intent classification, sentiment scoring, and entity extraction across text, images, and mixed media.", "prerequisites": [ "classify", "sentiment-analysis", "extract-entities" ], "derivatives": [], "conditions": "", "evidence": [ { "class": "B", "source": "https://platform.openai.com/docs/guides/moderation", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "OpenAI Moderation API — publicly documented multi-category content classifier with reproducible API calls, category scores, and evaluation methodology. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-05-25T03:45:36Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 3★ to 2★" }, { "timestamp": "2026-05-25T03:46:10Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 3★ to 2★", "previousValue": "3★", "newValue": "2★" }, { "timestamp": "2026-06-14T07:08:58Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://platform.openai.com/docs/guides/moderation as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ 0.30302194254216347, -0.3367018959302891, 0.418216560936902, -0.0006097499656912323 ], "spectral": [ -0.001983556827182236, -0.011351865256877043, -0.007979589481635753, -0.0023514315405312918 ], "semantic": [ -0.542186473130411, -0.3376979150575336, 0.12284038797006323, -0.16340184980128328 ] } }, { "id": "context-compression", "name": "Context Compression", "type": "basic", "description": "Reduces the length of prompts or retrieved context to fit token limits while preserving semantic content, using techniques such as selective token removal, summarization, or token-classification-based pruning (e.g. LLMLingua).", "prerequisites": [], "derivatives": [ "memory-manage" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2403.12968", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "LLMLingua-2 (ACL 2024 Findings) — data-distillation for efficient task-agnostic prompt compression; 3x-6x speed-up, BERT-base token classifier; demonstrates measurable perplexity-based faithfulness. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/microsoft/LLMLingua", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "Microsoft LLMLingua — reproducible open-source implementation of LLMLingua-1/2/LongLLMLingua; CI, README, Apache-2.0 license. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 }, { "class": "C", "source": "https://skillsmp.com/api/v1/skills/search?q=context-compression", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "SkillsMP top hit: sickn33/antigravity-awesome-skills (35k+ stars), multiple community variants including context-compression-v2. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-06-14T07:08:49Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2403.12968 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:49Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/microsoft/LLMLingua as B (trustNumber: 70.0)" }, { "timestamp": "2026-06-14T07:08:49Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://skillsmp.com/api/v1/skills/search?q=context-compression as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ -0.763484430618002, 0.07013669369549103, 0.6864833574730027, -0.0006939032355846144 ], "spectral": [ -0.001983556827182765, -0.011351865256877305, -0.007979589481635872, -0.0023514315405309895 ], "semantic": [ -0.5224605922671197, -0.35599110277399265, 0.09247433189730427, 0.21162312258954027 ] }, "namedMaxLevel": "2★" }, { "id": "conversational-agent", "name": "Conversational Agent", "type": "extra", "description": "Manages coherent multi-turn dialogue by routing intent, maintaining memory across turns, and generating contextually appropriate responses.", "prerequisites": [ "question-answer", "memory-manage", "route-intent" ], "derivatives": [], "conditions": "Requires persistent memory store across turns.", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-02", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-05-25T04:25:32Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 3★ to 2★" }, { "timestamp": "2026-05-25T04:44:23Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 3★ to 1★", "previousValue": "3★", "newValue": "1★" }, { "timestamp": "2026-06-02T23:45:11Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/langchain-ai/langchain/tree/master/libs/langchain/langchain/chains/conversation" } ], "cluster": 3, "positions": { "deterministic": [ 0.3672210755277926, 0.2798068549487889, 0.4075569531275205, -0.0007717841510951957 ], "spectral": [ -0.001983556827182414, -0.011351865256877154, -0.00797958948163558, -0.0023514315405317324 ], "semantic": [ 0.19779891177443704, -0.527303980800189, 0.7743315110115276, -0.002604891336202408 ] } }, { "id": "core-platform-implementation", "name": "Core Platform Implementation", "type": "basic", "description": "Implements foundational platform architecture including plugin discovery, server lifecycle management, and API contracts.", "prerequisites": [], "derivatives": [], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-19", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-19T16:29:16Z", "action": "propose", "contributor": "claude", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-05-22T20:20:44Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/science_skills_common/SKILL.md" }, { "timestamp": "2026-05-22T20:20:46Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/uv/SKILL.md" }, { "timestamp": "2026-05-22T20:22:44Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/uv/SKILL.md" }, { "timestamp": "2026-05-22T20:28:53Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added evidence: https://github.com/google-deepmind/science-skills/blob/main/skills/uv/SKILL.md, https://github.com/google-deepmind/science-skills/blob/main/skills/science_skills_common/SKILL.md", "previousValue": null, "newValue": "2★" } ], "cluster": 3, "positions": { "deterministic": [ -0.14167432612164574, -0.7680881727702852, 0.6687173444573669, -0.0008426145518592018 ], "spectral": [ -0.0019835568271827676, -0.011351865256878849, -0.007979589481635808, -0.0023514315405337555 ], "semantic": [ 0.3855208424236959, 0.7209221068671677, -0.20286931103249814, 0.2504710592633576 ] }, "namedMaxLevel": "2★" }, { "id": "cultural-localization", "name": "Cultural Localization", "type": "basic", "description": "Adapts content for regional audiences beyond translation: idioms, cultural nuance, tone, trust conventions, and regional compliance for culturally faithful output.", "prerequisites": [], "derivatives": [], "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2603.23301", "evaluator": "unknown", "date": "2026-06-03", "notes": "Steering LLMs for Culturally Localized Generation — sparse autoencoders identify cultural features (CuE) enabling white-box steering for cultural faithfulness (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "A", "source": "https://arxiv.org/abs/2602.04729", "evaluator": "unknown", "date": "2026-06-03", "notes": "'Be My Cheese?': Cultural Nuance Benchmarking for MT in Multilingual LLMs — 7 models, 15 languages, native-speaker evaluation of idioms, puns, holidays (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "C", "source": "https://skillsmp.com/skills/sapraudnynew-intakto-cco-claude-skills-cultural-localization-skill-md", "evaluator": "unknown", "date": "2026-06-03", "notes": "cultural-localization skill on SkillsMP — per-country cultural copy profiles synthesizing three cultural frameworks for tone, trust-building, CTA style (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-06-03", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-06-03T22:48:56Z", "action": "add", "contributor": "unknown", "details": "Added generic skill cultural-localization" }, { "timestamp": "2026-06-03T22:48:56Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://arxiv.org/abs/2603.23301" }, { "timestamp": "2026-06-03T22:48:56Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://arxiv.org/abs/2602.04729" }, { "timestamp": "2026-06-03T22:48:56Z", "action": "evidence_added", "contributor": "unknown", "details": "Added C evidence from https://skillsmp.com/skills/sapraudnynew-intakto-cco-claude-skills-cultural-localization-skill-md" }, { "timestamp": "2026-06-14T07:08:49Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2603.23301 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:49Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2602.04729 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:50Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://skillsmp.com/skills/sapraudnynew-intakto-cco-claude-skills-cultural-localization-skill-md as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ 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(backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 }, { "class": "B", "source": "https://github.com/mattpocock/skills/blob/main/skills/engineering/grill-with-docs/SKILL.md", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "Extended implementation with domain-model awareness: challenges language against CONTEXT.md, cross-references code, writes ADRs inline. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-06-14T07:08:59Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/mattpocock/skills/blob/main/skills/productivity/grill-me/SKILL.md as B (trustNumber: 70.0)" }, { "timestamp": "2026-06-14T07:08:59Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/mattpocock/skills/blob/main/skills/engineering/grill-with-docs/SKILL.md as B (trustNumber: 70.0)" } ], "cluster": 6, "positions": { "deterministic": [ -0.44812891820233003, 0.21098292123739806, 0.37024832579468536, -0.00108565914146429 ], "spectral": [ -0.001983556827182587, -0.011351865256877293, -0.007979589481635695, -0.002351431540531027 ], "semantic": [ 0.30704927504414936, -0.43287201982063994, -0.21965245422916416, -0.2601995124365851 ] }, "namedMaxLevel": "3★" }, { "id": "design-system-extraction", "name": "Design System Extraction", "type": "extra", "description": "Automates the discovery and extraction of design tokens, component architectures, and CSS configurations from live web applications or URLs.", "prerequisites": [ "browser-automation", "parse-html" ], "derivatives": [ "design-generation", "founder-mode-orchestration" ], "conditions": "Requires headless browser (Playwright/Puppeteer).", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-14", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-14T09:36:10Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" } ], "cluster": 3, "positions": { "deterministic": [ 0.47348619938975295, 0.146168786028068, 0.36491852188999463, -0.0010920533545461868 ], "spectral": [ -0.001983556827182953, -0.011351865256877983, -0.007979589481635753, -0.0023514315405317684 ], "semantic": [ 0.07228126196960867, 0.17729440026111087, -0.30022098908494255, 0.2468655885277366 ] }, "namedMaxLevel": "3★" }, { "id": "detect-anomaly", "name": "Detect Anomaly", "type": "extra", "description": "Identifies statistical outliers, novel patterns, or deviations from expected behavior in structured or unstructured data.", "prerequisites": [ "evaluate-output", "error-interpretation" ], "derivatives": [ "registry-health-scan", "founder-mode-orchestration" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2007.02500", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "Deep Learning for Anomaly Detection survey (Pang et al., ACM CSUR) — comprehensive benchmark of 30+ methods across fraud, intrusion, and medical anomaly detection. 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"action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 1★ to 0★", "previousValue": "1★", "newValue": "0★" }, { "timestamp": "2026-06-02T23:45:11Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/gaia-registry/gaia/blob/main/docs/evidence/diffContent.md" } ], "cluster": 0, "positions": { "deterministic": [ -0.17879734345734102, 0.8227764804061787, 0.5887702858870056, -0.0010741286955598293 ], "spectral": [ -0.001983556827182582, -0.011351865256877145, -0.007979589481635413, -0.002351431540531383 ], "semantic": [ -0.45605411114456357, -0.18111169800393037, -0.28627636364677944, 0.10341668824346163 ] } }, { "id": "dispatching-parallel-agents", "name": "Dispatching Parallel Agents", "type": "extra", "description": "Delegates independent tasks to specialized agents with isolated context to work concurrently.", "prerequisites": [ "plan-decompose", "parallel-execution" ], "derivatives": 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"createdAt": "2026-05-19", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-19T16:29:16Z", "action": "propose", "contributor": "claude", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" } ], "cluster": 4, "positions": { "deterministic": [ 0.016905973782842938, -0.5194729461740244, 0.3329396984618501, -0.0009200406253416578 ], "spectral": [ -0.0019835568271826735, -0.011351865256877312, -0.007979589481635959, -0.002351431540530861 ], "semantic": [ -0.33587821540648766, 0.5602590225184279, 0.35215693335747217, 0.25253071295027174 ] }, "namedMaxLevel": "2★" }, { "id": "document-analyst", "name": "Document Analyst", "type": "extra", "description": "Parses, extracts entities from, summarizes, and formats structured documents.", "prerequisites": [ "extract-entities", "format-output", "optical-character-recognition", "parse-json", "parse-pdf", "summarize" ], "derivatives": [], "conditions": "", "evidence": [ { "class": "B", "source": "https://github.com/VikParuchuri/marker", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "Marker — open-source PDF-to-markdown pipeline with reproducible benchmarks; outperforms Nougat on edit distance across 1000+ arXiv PDFs. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-05-20T00:01:36Z", "action": "merge", "contributor": "unknown", "details": "Merged document-digitization into document-analyst" }, { "timestamp": "2026-05-20T00:05:31Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added evidence: https://github.com/VikParuchuri/marker", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-05-25T04:25:32Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 3★ to 2★" }, { "timestamp": "2026-05-25T04:44:23Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 3★ to 1★", "previousValue": "3★", "newValue": "1★" }, { "timestamp": "2026-06-02T23:45:11Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/gaia-registry/gaia/blob/main/docs/evidence/documentAnalyst.md" }, { "timestamp": "2026-06-14T07:08:59Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/VikParuchuri/marker as B (trustNumber: 70.0)" } ], "cluster": 2, "positions": { "deterministic": [ -0.3689370636873055, 0.3718890335211742, 0.3276098945571594, -0.0008589913524166938 ], "spectral": [ -0.0019835568271825642, -0.011351865256877341, -0.007979589481635616, -0.0023514315405309652 ], "semantic": [ -0.6928342358399363, -0.04162058160295238, -0.12348292922952273, -0.08869938606083591 ] } }, { "id": "document-editing", "name": "Document Editing", "type": "basic", "description": "Reads, edits, repacks, and applies styling or design principles to structured binary document formats such as PPTX, DOCX, and XLSX.", "prerequisites": [], "derivatives": [ "humanize-prose", "founder-mode-orchestration" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 0★ (provisional)", "previousValue": null, "newValue": "0★" } ], "cluster": 0, "positions": { "deterministic": [ 0.8735222012861271, -0.04520263693751576, 0.5354722468400983, -0.0007900202192164191 ], "spectral": [ -0.001983556827182747, -0.011351865256877562, -0.007979589481635713, -0.002351431540531317 ], "semantic": [ -0.33336272359558844, -0.10761083313881709, -0.4365404103240872, 0.345805470587922 ] }, "namedMaxLevel": "3★" }, { "id": "domain-modeling", "name": "Domain Modeling", "type": "basic", "description": "Build and maintain a shared domain model with ubiquitous language and architectural decision records.", "prerequisites": [], "derivatives": [], "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-06-19", "updatedAt": "2026-06-19", "version": "0.1.0", "timeline": [ { "timestamp": "2026-06-19T12:57:54Z", "action": "add", "contributor": "unknown", "details": "Added generic skill domain-modeling" } ], "cluster": 0, "positions": { "deterministic": [ -0.6819767714347794, -0.5622479677800549, 0.5265892403322805, -0.0007138163625049443 ], "spectral": [ -0.22898624445960591, 0.7843867719696106, 0.271218971026296, 0.0577481050575426 ], "semantic": [ -0.6819767714347794, -0.5622479677800549, 0.5265892403322805, -0.0007138163625049443 ] } }, { "id": "dual-mode", "name": "Dual Mode", "type": "extra", "description": "Orchestrates hybrid Claude+Codex workflows: spawns headless parallel workers, coordinates task routing between interactive and background phases, and collects distributed results.", "prerequisites": [ "headless-worker-spawn", "headless-worker-collect", "hybrid-workflow-coordination" ], "derivatives": [], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-19", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-19T16:29:16Z", "action": "propose", "contributor": "claude", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" } ], "cluster": 3, "positions": { "deterministic": [ 0.07153778404344426, 0.5268048829350384, 0.31162048284308724, -0.0006311411860288861 ], "spectral": [ -0.0019835568271824003, -0.011351865256876497, -0.007979589481636766, -0.0023514315405304435 ], "semantic": [ 0.436860199310443, 0.3638861965875508, 0.14768121205946547, 0.43665315066143257 ] }, "namedMaxLevel": "4★" }, { "id": "e2e-testing", "name": "End-to-End Testing", "type": "extra", "description": "Execute full end-to-end user journey tests using browser automation frameworks (Playwright/Puppeteer), validating complete workflows from UI to backend across real environments.", "prerequisites": [ "browser-automation", "automated-testing" ], "derivatives": [ "founder-mode-orchestration" ], "conditions": "Requires a live or containerised target environment; browser automation must be available.", "evidence": [ { "class": "B", "source": "https://github.com/zachblume/autospec", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "autospec — AI agent that takes a web app URL and autonomously QAs it, saving passing specs as E2E test code (59 stars, active). (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-06-14T07:08:59Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/zachblume/autospec as B (trustNumber: 70.0)" } ], "cluster": 3, "positions": { "deterministic": [ 0.30161815217598886, -0.4414149255040881, 0.30629067893839645, -0.0005428207528228119 ], "spectral": [ -0.001983556827183062, -0.011351865256877668, -0.007979589481635914, -0.002351431540532378 ], "semantic": [ 0.5023219350626053, 0.1404923814804181, -0.1518269345440052, 0.09781848583274239 ] }, "namedMaxLevel": "3★" }, { "id": "edge-optimization", "name": "Edge Optimization", "type": "extra", "description": "Compresses and tunes models for low-latency on-device inference via quantization, pruning, knowledge distillation, and federated learning under resource constraints.", "prerequisites": [ "evaluate-output", "fine-tune", "performance-tuning" ], "derivatives": [], "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2505.01821", "evaluator": "unknown", "date": "2026-06-03", "notes": "Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey — covers quantization, pruning, distillation, federated learning for edge deployment (IEEE ComST 2026) (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/majiayu000/claude-skill-registry-data/blob/main/ai-ml/edge-model-compression/SKILL.md", "evaluator": "unknown", "date": "2026-06-03", "notes": "SKILL.md: Edge Model Compression — quantization, pruning, knowledge distillation, NAS for resource-constrained edge devices (majiayu000) (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-06-03", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-06-03T22:48:56Z", "action": "add", "contributor": "unknown", "details": "Added generic skill edge-optimization" }, { "timestamp": "2026-06-03T22:48:56Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://arxiv.org/abs/2505.01821" }, { "timestamp": "2026-06-03T22:48:56Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/majiayu000/claude-skill-registry-data/blob/main/ai-ml/edge-model-compression/SKILL.md" }, { "timestamp": "2026-06-14T07:08:59Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2505.01821 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:59Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/majiayu000/claude-skill-registry-data/blob/main/ai-ml/edge-model-compression/SKILL.md as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ -0.526707357306912, 0.12029340170148066, 0.3009608750337057, -0.00044973753146046436 ], "spectral": [ -0.001983556827183076, -0.011351865256878247, -0.007979589481635574, -0.0023514315405320984 ], "semantic": [ -0.526707357306912, 0.12029340170148066, 0.3009608750337057, -0.00044973753146046436 ] } }, { "id": "embed-text", "name": "Embed Text", "type": "basic", "description": "Converts text into dense vector representations suitable for similarity search and clustering.", "prerequisites": [], "derivatives": [ "rag-pipeline", "knowledge-harvest", "wiki-search" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-02", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-05-25T04:25:32Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 1★ to 0★" }, { "timestamp": "2026-05-25T04:44:23Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 1★ to 0★", "previousValue": "1★", "newValue": "0★" }, { "timestamp": "2026-06-02T23:45:11Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/gaia-registry/gaia/blob/main/docs/evidence/embedText.md" } ], "cluster": 0, "positions": { "deterministic": [ 0.7829425657043414, 0.44429406825903367, 0.4910572143010086, -0.0003528215787204734 ], "spectral": [ -0.0019835568271827624, -0.011351865256876878, -0.007979589481635435, 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(backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-22", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-21T16:24:36Z", "action": "add", "contributor": "mbtiongson1", "details": "Added generic skill mattpocock-engineering" }, { "timestamp": "2026-05-21T16:31:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-05-21T17:17:01Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added B evidence from https://github.com/mattpocock/skills" }, { "timestamp": "2026-05-21T17:19:20Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 1★ to 5★", "previousValue": "1★", "newValue": "5★" }, { "timestamp": "2026-05-21T17:19:20Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added evidence: https://github.com/mattpocock/skills", "previousValue": null, "newValue": "5★" }, { "timestamp": "2026-05-21T19:14:10Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Type adjusted from extra to ultimate", "previousValue": "extra", "newValue": "ultimate" }, { "timestamp": "2026-05-25T03:46:20Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 5★ to 5★" }, { "timestamp": "2026-06-01T15:39:52Z", "action": "rename", "contributor": "unknown", "details": "Renamed from mattpocock-engineering to engineering-discipline" }, { "timestamp": "2026-06-14T07:09:07Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/mattpocock/skills as B (trustNumber: 70.0)" }, { "timestamp": "2026-06-20T06:47:53Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Reclassified from ultimate to extra" } ], "cluster": 0, "positions": { "deterministic": [ -0.1699409885664566, -0.5180481647568835, 0.2903012672243242, -0.00025304124676646145 ], "spectral": [ -0.0019835568271827086, -0.011351865256877208, -0.00797958948163578, -0.002351431540531117 ], "semantic": [ -0.1699409885664566, -0.5180481647568835, 0.2903012672243242, -0.00025304124676646145 ] }, "namedMaxLevel": "4★" }, { "id": "error-interpretation", "name": "Error Interpretation", "type": "basic", "description": "Diagnoses error messages, stack traces, and failure modes to identify root causes and suggest fixes.", "prerequisites": [], "derivatives": [ "autonomous-debug", "automated-testing", "detect-anomaly", "systematic-debugging" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-02", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-05-25T04:25:32Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 1★ to 0★" }, { "timestamp": "2026-05-25T04:44:23Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 1★ to 0★", "previousValue": "1★", "newValue": "0★" }, { "timestamp": "2026-06-02T23:45:11Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/gaia-registry/gaia/blob/main/docs/evidence/errorInterpretation.md" } ], "cluster": 6, "positions": { "deterministic": [ -0.3803222338792752, 0.8289539097913299, 0.47329120128537316, -0.00015139350769232223 ], "spectral": [ -0.001983556827182776, -0.01135186525687743, -0.007979589481635534, -0.002351431540531559 ], "semantic": [ 0.18427103876682935, 0.08738560634270885, -0.5511911820653104, -0.3391378327326718 ] } }, { "id": "evaluate-output", "name": "Evaluate Output", "type": "basic", "description": "Assesses the quality, correctness, or safety of generated output against defined criteria.", "prerequisites": [], "derivatives": [ "code-review-pipeline", "registry-entry-audit", "grounding", "multi-agent-debate", "prompt-optimization", "guardrails", "agent-eval", "design-review", "security-audit", "founder-mode-orchestration", "detect-anomaly" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-02", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-05-25T04:25:33Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 1★ to 0★" }, { "timestamp": "2026-05-25T04:44:23Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 1★ to 0★", "previousValue": "1★", "newValue": "0★" }, { "timestamp": "2026-06-02T23:45:11Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/gaia-registry/gaia/blob/main/docs/evidence/evaluateOutput.md" } ], "cluster": 6, "positions": { "deterministic": [ 0.8413424304431618, -0.35823370930308723, 0.464408194777555, -4.8893992106607385e-05 ], "spectral": [ -0.001983556827182836, -0.011351865256877567, -0.007979589481635692, -0.0023514315405316214 ], "semantic": [ 0.08186634266162819, -0.5863389890616253, -0.5355978340930314, -0.25328917171348675 ] }, "namedMaxLevel": "3★" }, { "id": "executing-plans", "name": "Executing Plans", "type": "extra", "description": "Loads a written implementation plan, reviews it critically, executes all tasks sequentially, and reports when complete.", "prerequisites": [ "writing-plans", "tool-use" ], "derivatives": [ "superpowers", "subagent-driven-development" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-18", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-18T14:11:08Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-05-19T13:55:59Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Type adjusted from basic to extra", "previousValue": "basic", "newValue": "extra" } ], "cluster": 6, "positions": { "deterministic": [ -0.522660683558803, -0.18483501197172286, 0.274311855510252, 5.3433158712783924e-05 ], "spectral": [ -0.00198355682718244, -0.011351865256877564, -0.007979589481635378, -0.0023514315405313135 ], "semantic": [ 0.49096381135846373, -0.033948792560688903, -0.21723522756826485, -0.12908518858834622 ] }, "namedMaxLevel": "3★" }, { "id": "explainability-audit", "name": "Explainability Audit", "type": "extra", "description": "Audits model transparency by computing feature-importance attributions (SHAP, LIME) and intrinsic-interpretability metrics, surfacing them as governance evidence.", "prerequisites": [ "data-visualize", "evaluate-output", "statistical-analysis" ], "derivatives": [], "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2502.04695", "evaluator": "unknown", "date": "2026-06-03", "notes": "Bridging the Gap in XAI — reliable explainability metrics as governance tools; EU AI Act compliance framing; 'Governance by Metrics' framework (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "A", "source": "https://arxiv.org/abs/2405.20794", "evaluator": "unknown", "date": "2026-06-03", "notes": "Model Interpretation and Explainability: Towards Creating Transparency in Prediction Models — SHAP/LIME vs intrinsic methods for auditing feature importance (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "C", "source": "https://skillsmp.com/skills/paulpas-agent-skill-router-skills-coding-ds-explainability-skill-md", "evaluator": "unknown", "date": "2026-06-03", "notes": "explainability skill on SkillsMP — model transparency and interpretability for data science workflows (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-06-03", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-06-03T22:48:55Z", "action": "add", "contributor": "unknown", "details": "Added generic skill explainability-audit" }, { "timestamp": "2026-06-03T22:48:55Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://arxiv.org/abs/2502.04695" }, { "timestamp": "2026-06-03T22:48:55Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://arxiv.org/abs/2405.20794" }, { "timestamp": "2026-06-03T22:48:56Z", "action": "evidence_added", "contributor": "unknown", "details": "Added C evidence from https://skillsmp.com/skills/paulpas-agent-skill-router-skills-coding-ds-explainability-skill-md" }, { "timestamp": "2026-06-14T07:08:59Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2502.04695 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:59Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2405.20794 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:59Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://skillsmp.com/skills/paulpas-agent-skill-router-skills-coding-ds-explainability-skill-md as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ 0.25853733978759086, 0.4895091662304018, 0.26898205160556127, 0.0001545655256997242 ], "spectral": [ -0.0019835568271830183, 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"timestamp": "2026-05-25T04:44:23Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 1★ to 0★", "previousValue": "1★", "newValue": "0★" }, { "timestamp": "2026-06-02T23:45:11Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/gaia-registry/gaia/blob/main/docs/evidence/extractEntities.md" } ], "cluster": 2, "positions": { "deterministic": [ 0.23040629840737883, -0.899973848722715, 0.4377591752541013, 0.00025349262767319675 ], "spectral": [ -0.0019835568271824007, -0.011351865256877073, -0.007979589481635609, -0.002351431540531205 ], "semantic": [ -0.8938106147538113, 0.12379407869978026, 0.03517678892588766, -0.15884520082501807 ] } }, { "id": "feed-monitoring", "name": "Feed Monitoring", "type": "basic", "description": "Monitors RSS, Atom, blog, or other recurring content feeds, discovers updates, tracks read state, and surfaces new signals for downstream agent workflows.", "prerequisites": [], "derivatives": [], "conditions": "Requires configured feed sources and a repeatable polling or discovery mechanism.", "evidence": [], "knownAgents": [ "NousResearch/hermes-agent" ], "status": "provisional", "createdAt": "2026-05-06", "updatedAt": "2026-06-03", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-05-14T20:30:46Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Type adjusted from basic to unique", "previousValue": "basic", "newValue": "unique" }, { "timestamp": "2026-06-03T22:51:13Z", "action": "type_change", "contributor": "unknown", "details": "Reclassified from unique to basic" } ], "cluster": 3, "positions": { "deterministic": [ -0.7844830311990121, 0.5080927857172202, 0.4288761687462834, 0.000349226017731233 ], "spectral": [ -0.0019835568271824207, -0.011351865256876793, -0.007979589481636327, -0.002351431540530999 ], "semantic": [ 0.16509375489880726, 0.28525328768228003, 0.2593670609837931, 0.0021899958859593898 ] }, "namedMaxLevel": "2★" }, { "id": "few-shot-learning", "name": "Few-Shot Learning", "type": "basic", "description": "Conditions a language model on a small number of input-output demonstrations within the prompt, enabling task adaptation without weight updates.", "prerequisites": [], "derivatives": [ "chain-of-thought", "conversational-agent" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2005.14165", "evaluator": "mbtiongson1", "date": "2026-04-29", "notes": "Brown et al. (2020) — Language Models are Few-Shot Learners (GPT-3); in-context learning from 1-100 examples achieves near-SOTA on SuperGLUE, translation, and QA benchmarks. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-29", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-05-14T20:30:46Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Type adjusted from basic to unique", "previousValue": "basic", "newValue": "unique" }, { "timestamp": "2026-05-25T03:44:41Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Reclassified from unique to basic" }, { "timestamp": "2026-05-25T03:45:22Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Type adjusted from unique to basic", "previousValue": "unique", "newValue": "basic" }, { "timestamp": "2026-05-25T03:45:37Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 4★ to 2★" }, { "timestamp": "2026-05-25T03:46:10Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 4★ to 2★", "previousValue": "4★", "newValue": "2★" }, { "timestamp": "2026-06-14T07:08:50Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2005.14165 as A (trustNumber: 85.0)" } ], "cluster": 0, "positions": { "deterministic": [ 0.9223995243960815, 0.15379600517106676, 0.41999316223846567, 0.0004408091594856264 ], "spectral": [ 0.2507280925066504, -1.0089862257702435, 0.38699847677363514, 1.0177716372899224 ], "semantic": [ 0.055443935150872356, -0.7308958381887732, 0.4556786160256575, 0.08799810505823624 ] }, "namedMaxLevel": "4★" }, { "id": "financial-modeling", "name": "Financial Modeling", "type": "extra", "description": "Builds financial projections, DCF and LBO valuation models, Monte Carlo simulations, and portfolio optimization by querying data, computing statistics, and running sensitivity analysis.", "prerequisites": [ "data-analysis", "generate-sql", "statistical-analysis" ], "derivatives": [], "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2412.18563", "evaluator": "unknown", "date": "2026-06-03", "notes": "Deep Reinforcement Learning Framework for Dynamic Portfolio Optimization: custom Sharpe-ratio reward function + Actor-Critic algorithms for dynamic asset allocation; bridges DCF-era finance with ML-driven robo-advisory (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "A", "source": "https://arxiv.org/abs/2511.18076", "evaluator": "unknown", "date": "2026-06-03", "notes": "Reinforcement Learning for Portfolio Optimization with a Financial Goal and Defined Time Horizons: G-Learning/GIRL algorithms improving Sharpe Ratio from 0.42 to 0.483 in volatile markets (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/anthropics/claude-cookbooks/blob/main/skills/custom_skills/creating-financial-models/SKILL.md", "evaluator": "unknown", "date": "2026-06-03", "notes": "Official Anthropic cookbook skill covering DCF valuation engine (WACC, terminal value), Monte Carlo simulation, sensitivity analysis, LBO and M&A models; includes dcf_model.py (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-06-03", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-06-03T22:48:51Z", "action": "add", "contributor": "unknown", "details": "Added generic skill financial-modeling" }, { "timestamp": "2026-06-03T22:48:52Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://arxiv.org/abs/2412.18563" }, { "timestamp": "2026-06-03T22:48:52Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://arxiv.org/abs/2511.18076" }, { "timestamp": "2026-06-03T22:48:52Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/anthropics/claude-cookbooks/blob/main/skills/custom_skills/creating-financial-models/SKILL.md" }, { "timestamp": "2026-06-14T07:09:00Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2412.18563 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:00Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2511.18076 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:00Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/anthropics/claude-cookbooks/blob/main/skills/custom_skills/creating-financial-models/SKILL.md as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ -0.3499410370462132, -0.44517975460516745, 0.24766283598679825, 0.0005273269844573269 ], "spectral": [ -0.0019835568271828192, -0.011351865256877659, -0.007979589481635276, -0.0023514315405318716 ], "semantic": [ -0.3499410370462132, -0.44517975460516745, 0.24766283598679825, 0.0005273269844573269 ] } }, { "id": "fine-tune", "name": "Fine-Tune", "type": "basic", "description": "Adapts a pre-trained model to a new task or domain by updating model weights using parameter-efficient methods such as LoRA, QLoRA, or full supervised fine-tuning, without retraining from scratch.", "prerequisites": [], "derivatives": [], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2604.22783", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "LARS (2026) -- Parameter Efficiency Is Not Memory Efficiency: Rethinking Fine-Tuning on-Device LLM Adaptation; reduces GPU memory footprint 33.54% vs LoRA. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/huggingface/peft", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "HuggingFace PEFT -- state-of-the-art LoRA/QLoRA/IA3 fine-tuning; 100k+ stars, CI, active maintenance. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 }, { "class": "B", "source": "https://github.com/hiyouga/LlamaFactory", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "LlamaFactory (ACL 2024) -- unified efficient fine-tuning of 100+ LLMs and VLMs; 50k+ stars, reproducible benchmarks. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-06-02T23:33:02Z", "action": "type_change", "contributor": "unknown", "details": "Reclassified from unique to basic" }, { "timestamp": "2026-06-14T07:08:50Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2604.22783 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:50Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/huggingface/peft as B (trustNumber: 70.0)" }, { "timestamp": "2026-06-14T07:08:50Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/hiyouga/LlamaFactory as B (trustNumber: 70.0)" } ], "cluster": 4, "positions": { "deterministic": [ -0.0754441232620034, 0.9416211744323306, 0.4022271492228298, 0.0006079150351382087 ], "spectral": [ -0.0019835568271834047, -0.011351865256878367, -0.007979589481636157, -0.002351431540531502 ], "semantic": [ -0.03979805650462074, -0.09780506365981284, 0.31906402672299045, -0.14210601961412406 ] } }, { "id": "finishing-a-development-branch", "name": "Finishing a Development Branch", "type": "extra", "description": "Guides completion of development work by presenting structured options for merge, PR, or cleanup, verifying tests first.", "prerequisites": [ "code-review-pipeline", "diff-content" ], "derivatives": [ "superpowers", "founder-mode-orchestration", "deployment-automation" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-18", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-18T14:11:08Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-05-18T16:24:05Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Type adjusted from basic to extra", "previousValue": "basic", "newValue": "extra" } ], "cluster": 5, "positions": { "deterministic": [ 0.413897709355257, -0.38898296867510257, 0.23700322817741687, 0.0006817681023647372 ], "spectral": [ -0.0019835568271827503, -0.011351865256877492, -0.007979589481635555, -0.002351431540531626 ], "semantic": [ 0.35678035446836653, 0.08349571822743727, -0.6317976595093517, -0.21193889685464065 ] }, "namedMaxLevel": "3★" }, { "id": "format-output", "name": "Format Output", "type": "basic", "description": "Structures raw output into a specified format such as markdown, JSON, CSV, or HTML.", "prerequisites": [], "derivatives": [ "document-analyst", "text-to-sql-pipeline", "humanize-prose", "architecture-diagram", "founder-mode-orchestration" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-02", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 0★ (provisional)", "previousValue": null, "newValue": "0★" }, { "timestamp": "2026-06-02T23:45:11Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/gaia-registry/gaia/blob/main/docs/evidence/formatOutput.md" } ], "cluster": 2, "positions": { "deterministic": [ -0.9542105288001903, 0.008854937362835555, 0.384461136207194, 0.0007481482707017615 ], "spectral": [ -0.001983556827182686, -0.01135186525687761, -0.0079795894816358, -0.0023514315405312176 ], "semantic": [ -0.5708987478619811, -0.2703329217135608, -0.5939225679238772, 0.5931128359627933 ] }, "namedMaxLevel": "2★" }, { "id": "founder-mode-orchestration", "name": "Founder Mode", "type": "ultimate", "description": "Garry Tan's complete autonomous agent discipline suite spanning 19 named skills: browser QA, security auditing, design system creation, HTML generation, plan reviews (CEO/eng/design/DX), code review, root-cause debugging, E2E testing, ship/deploy automation, post-deploy canary monitoring, documentation, and founder-mode orchestration.", "prerequisites": [ "question-answer", "evaluate-output", "code-review-pipeline", "ux-audit", "vertical-slice-planning", "design-system-extraction", "design-review", "code-generation", "systematic-debugging", "e2e-testing", "finishing-a-development-branch", "deployment-automation", "detect-anomaly", "document-editing", "browser-automation", "security-audit", "browser-control", "web-scrape", "skill-authoring", "write-report", "multi-agent-debate", "skill-performance-benchmarking", "automated-testing", "mcp-integration", "memory-manage", "guardrails", "knowledge-management", "format-output", "workspace-automation", "project-management", "prompt-optimization" ], "derivatives": [], "conditions": "Requires demonstrating all 31 garrytan discipline skills together in a real multi-step context.", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-18", "updatedAt": "2026-06-02", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-18T00:00:00Z", "action": "fuse", "contributor": "mbtiongson1", "details": "Fused 5 garrytan/gstack skills into /gstacks ultimate. Components: security-audit, design-review, vertical-slice-planning, browser-automation, question-answer. Promoted to 5★ on evidence: garrytan/gstack 98.9k stars, 8+ platform adoption (Claude Code, Codex CLI, OpenCode, Cursor, Factory Droid, Slate, Kiro, Hermes)." }, { "timestamp": "2026-05-18T00:00:00Z", "action": "rank_up", "contributor": "mbtiongson1", "details": "Expanded gstack prerequisites from 25 → 31 via prerequisite graph analysis. Added to gstack: guardrails, knowledge-management, format-output, workspace-automation, project-management, prompt-optimization. Promoted 3 basic nodes to extra tier to carry workflow chain prerequisites: finishing-a-development-branch (prereqs: code-review-pipeline, diff-content), detect-anomaly (prereqs: evaluate-output, error-interpretation), memory-manage (prereqs: context-compression, retrieve)." }, { "timestamp": "2026-05-18T12:00:00Z", "action": "rank_up", "contributor": "mbtiongson1", "details": "Expanded prerequisites from 5 to 16 to cover the full garrytan/gstack suite. Added 14 new named skills: plan-ceo-review, plan-eng-review, plan-design-review, plan-devex-review, review, investigate, qa, ship, land-and-deploy, canary, document-generate, design-html, design-consultation, benchmark. Upgraded evidence from Class B to Class A (>=5 named-skills criterion met: 19 named skills). Total named garrytan skills: 19." }, { "timestamp": "2026-05-18T16:24:05Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 5★ (provisional)", "previousValue": null, "newValue": "5★" }, { "timestamp": "2026-06-02T23:33:02Z", "action": "rename", "contributor": "unknown", "details": "Renamed from gstack to founder-mode-orchestration" } ], "cluster": 0, "positions": { "deterministic": [ 0.1401789818468677, 0.12730308868027776, 0.07710911103669461, 0.0008063922914496259 ], "spectral": [ -0.0019835568271827533, -0.011351865256877536, -0.007979589481635704, -0.0023514315405315784 ], "semantic": [ 0.1401789818468677, 0.12730308868027776, 0.07710911103669461, 0.0008063922914496259 ] }, "namedMaxLevel": "5★", "ultimateGateStatus": { "passes": false, "reason": "only 0/3 graded evidence sources" } }, { "id": "framework-upgrade", "name": "Framework Upgrade", "type": "basic", "description": "Guides an agent through upgrading a project from one major framework version to another, including breaking-change detection, migration steps, and post-upgrade validation.", "prerequisites": [], "derivatives": [], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 0★ (provisional)", "previousValue": null, "newValue": "0★" } ], "cluster": 3, "positions": { "deterministic": [ -0.09519632622472302, -0.9550685786136281, 0.3666951231915581, 0.0008559182096059302 ], "spectral": [ 0.9854257779887762, 0.39137725324768335, 0.3012648146906305, -0.4946939515124868 ], "semantic": [ 0.4493791414961325, 0.2333431362675676, -0.12613357751798482, -0.1369861078610211 ] }, "namedMaxLevel": "2★" }, { "id": "full-stack-developer", "name": "Full-Stack Developer", "type": "extra", "description": "Autonomously implements, reviews, tests, and refactors complete software features across the full development lifecycle from specification to merged PR.", "prerequisites": [ "code-review-pipeline", "automated-testing", "refactor-code" ], "derivatives": [], "conditions": "Requires access to repository, execution environment, and test runner. Minimum 3 Class A/B evidence sources.", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2310.06770", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "SWE-bench — 2294 real GitHub issues; Claude 3.5 Sonnet (Cognition) resolves 49% on Verified, demonstrating full-cycle autonomous development. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/princeton-nlp/SWE-agent", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "SWE-agent — open-source agent with AgentComputer Interface; reproducible harness achieving 12.5% on SWE-bench full with logs and eval scripts. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 }, { "class": "A", "source": "https://arxiv.org/abs/2402.01030", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "CodeAct — executable code action space for LLM agents; +20% task completion vs JSON/text-based actions across 17 programming benchmarks. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "title": "Sovereign Craftsman", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 5★ (provisional)", "previousValue": null, "newValue": "5★" }, { "timestamp": "2026-05-18T15:45:47Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Type adjusted from ultimate to extra", "previousValue": "ultimate", "newValue": "extra" }, { "timestamp": "2026-06-14T07:09:00Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2310.06770 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:00Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/princeton-nlp/SWE-agent as B (trustNumber: 70.0)" }, { "timestamp": "2026-06-14T07:09:00Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2402.01030 as A (trustNumber: 85.0)" } ], "cluster": 6, "positions": { "deterministic": [ -0.348905632009303, 0.4612730836249282, 0.21568401255865396, 0.0008962311785675489 ], "spectral": [ -0.001983556827182405, -0.011351865256877236, -0.007979589481635775, -0.0023514315405316886 ], "semantic": [ 0.5689127436759802, 0.10983363354662345, -0.5106755943437333, -0.0701028538120195 ] } }, { "id": "function-calling", "name": "Function Calling", "type": "extra", "description": "Selects an external callable, emits schema-valid arguments, invokes the function or API, and integrates the returned result into the agent loop.", "prerequisites": [ "structured-output", "api-call", "tool-select" ], "derivatives": [], "conditions": "Requires an available function or tool catalog with machine-readable argument schemas and result contracts.", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2307.16789", "evaluator": "rico-favor", "date": "2026-04-29", "notes": "ToolLLM / ToolBench demonstrates LLM tool invocation over 16,000+ real-world APIs with documented evaluation tasks and failure analysis, supporting function calling as a schema-driven tool-use pattern. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "A", "source": "https://arxiv.org/abs/2305.15334", "evaluator": "rico-favor", "date": "2026-04-29", "notes": "Gorilla / APIBench evaluates model generation of API calls across large API collections, including accurate endpoint and argument selection. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-29", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-05-25T03:45:36Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 3★ to 2★" }, { "timestamp": "2026-05-25T03:46:10Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 3★ to 2★", "previousValue": "3★", "newValue": "2★" }, { "timestamp": "2026-06-14T07:09:00Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2307.16789 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:00Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2305.15334 as A (trustNumber: 85.0)" } ], "cluster": 3, "positions": { "deterministic": [ 0.5675455363187416, -0.10692495124582872, 0.21035420865396312, 0.0009269284044743138 ], "spectral": [ -0.0019835568271824905, -0.011351865256877645, -0.007979589481635603, -0.0023514315405313065 ], "semantic": [ 0.36203933811469596, -0.06584606752630756, 0.1024993020823239, -0.005444732757515114 ] } }, { "id": "generate-sql", "name": "Generate SQL", "type": "basic", "description": "Translates natural-language data questions into syntactically correct, executable SQL queries against a given schema.", "prerequisites": [], "derivatives": [ "text-to-sql-pipeline", "data-analysis" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/1809.08887", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "Spider benchmark — cross-domain text-to-SQL dataset; LLM baselines reach >85% exact match, establishing reproducible evaluation methodology. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-06-14T07:08:50Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/1809.08887 as A (trustNumber: 85.0)" } ], "cluster": 0, "positions": { "deterministic": [ -0.824544899399738, -0.5124540740905316, 0.34004610366810445, 0.0009477031707921178 ], "spectral": [ -0.0019835568271825287, -0.011351865256877737, -0.007979589481635367, -0.002351431540531516 ], "semantic": [ -0.376326506777789, -0.20004531405351186, -0.21485343345905497, 0.09581772043485942 ] } }, { "id": "generate-test", "name": "Generate Test", "type": "basic", "summary": "Produces comprehensive unit, integration, and edge-case test suites from source code.", "description": "Analyzes source code or natural-language specifications to identify functions, classes, and their dependencies, and generates thorough, maintainable test suites. It handles test case structuring, setup and teardown fixtures, mocking external dependencies, and validating normal operation alongside boundary and error conditions.", "useCase": "A developer just finished writing an authentication module (`auth.py`) and needs comprehensive unit tests. The skill is invoked to create properly structured tests using the `unittest.TestCase` format, handling edge-case validation and mock generation without requiring explicit per-file prompting.", "directives": "Tests must use established frameworks (e.g., `unittest.TestCase` format) with proper naming conventions (e.g., 'test_' prefix). Tests should be organized into concept-based subfolders within a `tests/` directory (e.g., `tests/auth/`). Ensure test coverage includes happy paths, boundary conditions, and error paths, utilizing appropriate assertions and mocking techniques to maintain test independence.", "prerequisites": [], "derivatives": [ "automated-testing" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2107.03374", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "Codex/HumanEval (Chen et al.) — evaluates LLMs on writing Python functions that pass hand-crafted unit tests; pass@1 72.0% for GPT-4. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-06-14T07:08:50Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2107.03374 as A (trustNumber: 85.0)" } ], "cluster": 6, "positions": { "deterministic": [ 0.2594375056827708, 0.9356542573042456, 0.33116309716028663, 0.0009583479029231382 ], "spectral": [ -0.001983556827182539, -0.011351865256877862, -0.007979589481635583, -0.0023514315405323504 ], "semantic": [ 0.17856686489481027, -0.26216209572412963, -0.625777804570453, 0.030147419722679564 ] }, "namedMaxLevel": "2★" }, { "id": "generate-text", "name": "Generate Text", "type": "basic", "description": "Produces coherent natural language output given a prompt, instruction, or context window.", "prerequisites": [], "derivatives": [ "prompt-optimization", "release-automation", "skill-authoring" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-02", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 0★ (provisional)", "previousValue": null, "newValue": "0★" }, { "timestamp": "2026-06-02T23:45:11Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/gaia-registry/gaia/blob/main/docs/evidence/generateText.md" } ], "cluster": 0, "positions": { "deterministic": [ 0.438843498490269, -0.8699312696712044, 0.32228009065246854, 0.0009587562422226024 ], "spectral": [ -0.001983556827182292, -0.011351865256877376, -0.007979589481635685, -0.0023514315405313577 ], "semantic": [ -0.1885953104102312, -0.8609074466309511, -0.029216671152384528, 0.44647281946501083 ] } }, { "id": "generative-media", "name": "Generative Media", "type": "extra", "description": "Generates and manipulates images, video, and audio through complex node-based or scripted generative workflows, managing model dependencies and parameter injection.", "prerequisites": [ "api-call", "data-visualize" ], "derivatives": [], "conditions": "", "evidence": [ { "class": "B", "source": "https://github.com/comfyanonymous/ComfyUI", "evaluator": "gemini-cli", "date": "2026-05-17", "notes": "ComfyUI -- most powerful and modular stable diffusion GUI and backend; node-based graph execution for generative media. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [ "NousResearch/hermes-agent" ], "status": "provisional", "createdAt": "2026-05-17", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-17T13:00:26Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-06-14T07:09:00Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/comfyanonymous/ComfyUI as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ -0.5510830968701332, 0.20617408719363572, 0.18903499303520013, 0.0009489241086992095 ], "spectral": [ -0.001983556827183064, -0.011351865256877881, -0.00797958948163628, -0.002351431540531472 ], "semantic": [ 0.04714484987337018, -0.22354380408496546, 0.025852963733743465, 0.6934990610156098 ] } }, { "id": "genomic-data-retrieval", "name": "Genomic Data Retrieval", "type": "basic", "description": "Queries and retrieves DNA sequence data, transcription factor binding models, cis-regulatory elements, and genetic annotations from genomic repositories (e.g. Ensembl, GTEx, JASPAR, UniBind, ENCODE, UCSC, dbSNP).", "prerequisites": [], "derivatives": [], "evidence": [ { "class": "B", "source": "https://github.com/google-deepmind/science-skills", "evaluator": "unknown", "date": "2026-05-23", "notes": "Foundational canonical generic skill for Genomic Data Retrieval. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-23", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-22T20:22:08Z", "action": "add", "contributor": "unknown", "details": "Added generic skill genomic-data-retrieval" }, { "timestamp": "2026-05-22T20:22:08Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills" }, { "timestamp": "2026-05-22T20:22:22Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/ensembl_database/SKILL.md" }, { "timestamp": "2026-05-22T20:22:23Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/jaspar_database/SKILL.md" }, { "timestamp": "2026-05-22T20:22:24Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/unibind_database/SKILL.md" }, { "timestamp": "2026-05-22T20:22:25Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/gtex_database/SKILL.md" }, { "timestamp": "2026-05-22T20:22:26Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/ucsc_conservation_and_tfbs/SKILL.md" }, { "timestamp": "2026-05-22T20:22:27Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/dbsnp_database/SKILL.md" }, { "timestamp": "2026-05-22T20:22:28Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/ncbi_sequence_fetch/SKILL.md" }, { "timestamp": "2026-05-22T20:22:29Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/gnomad_database/SKILL.md" }, { "timestamp": "2026-05-22T20:28:53Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-06-14T07:08:50Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/google-deepmind/science-skills as B (trustNumber: 70.0)" } ], "cluster": 2, "positions": { "deterministic": [ 0.9079304113182339, 0.3648302259062918, 0.30451407763683286, 0.000928949741781054 ], "spectral": [ -0.001983556827184365, -0.011351865256879265, -0.007979589481635664, -0.002351431540534526 ], "semantic": [ -0.8003069980460255, 0.6117997117081694, -0.21005397624120525, -0.143456210836662 ] } }, { "id": "ghostwrite", "name": "Ghostwrite", "type": "extra", "description": "Produces audience-tailored, research-backed long-form written content.", "prerequisites": [ "research", "write-report", "audience-model" ], "derivatives": [], "conditions": "Requires research output as input context.", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-05-18T09:04:22Z", "action": "demote", "contributor": "jules", "details": "Calibrated/demoted rank from 4★ to 1★", "previousValue": "4★", "newValue": "1★" } ], "cluster": 0, "positions": { "deterministic": [ -0.2572631816750372, -0.532291530116184, 0.17837538522581864, 0.0008990327187397332 ], "spectral": [ -0.0019835568271825746, -0.011351865256877426, -0.007979589481635718, -0.002351431540531649 ], "semantic": [ -0.35303924280685517, -0.36895028096113786, -0.11243348539977817, 0.013428570844090576 ] } }, { "id": "git-diff-risk-analysis", "name": "Git Diff Risk Analysis", "type": "basic", "description": "Analyzes git diffs for complexity, churn, and risk scores to prioritize review attention and flag dangerous changes.", "prerequisites": [], "derivatives": [], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-19", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-19T16:29:16Z", "action": "propose", "contributor": "claude", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" } ], "cluster": 7, "positions": { "deterministic": [ -0.28787179195782353, 0.9430358531081483, 0.286748064621197, 0.0008594719605802245 ], "spectral": [ 0.9907322409941575, 1.2497487362956072, 0.09942440799269088, 0.7082598549925669 ], "semantic": [ 0.20009320444552484, 0.051228721790301114, -0.5497227126167867, -0.3874956118993682 ] }, "namedMaxLevel": "2★" }, { "id": "git-integration", "name": "GitHub Platform Mastery", "type": "extra", "description": "Full GitHub platform automation: code review pipelines, multi-repo coordination, project management, release management, and workflow automation.", "prerequisites": [ "code-review-pipeline", "multi-repo-coordination", "deployment-automation", "project-management", "workflow-automation" ], "derivatives": [], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-19", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-19T16:29:16Z", "action": "propose", "contributor": "claude", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-05-19T22:44:52Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 4★ to 3★", "previousValue": "4★", "newValue": "3★" }, { "timestamp": "2026-06-01T15:39:47Z", "action": "rename", "contributor": "unknown", "details": "Renamed from github-platform-mastery to git-integration" } ], "cluster": 0, "positions": { "deterministic": [ 0.508127253136092, -0.3027643341232404, 0.16771577741643715, 0.0008106627453210091 ], "spectral": [ -0.001983556827182873, -0.011351865256877411, -0.007979589481635725, -0.0023514315405317025 ], "semantic": [ 0.508127253136092, -0.3027643341232404, 0.16771577741643715, 0.0008106627453210091 ] }, "namedMaxLevel": "3★" }, { "id": "git-ship-done-pipeline", "name": "Git Ship Done Pipeline", "type": "ultimate", "description": "Fuses decision capture, planning, parallel execution, verification, and shipping into a repeatable agentic software delivery pipeline.", "prerequisites": [ "brainstorming", "writing-plans", "subagent-driven-development", "verification-before-completion", "finishing-a-development-branch" ], "derivatives": [], "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-07-03", "updatedAt": "2026-07-03", "version": "0.1.0", "timeline": [ { "timestamp": "2026-07-02T18:18:07Z", "action": "add", "contributor": "unknown", "details": "Added generic skill git-ship-done-pipeline" }, { "timestamp": "2026-07-02T18:18:07Z", "action": "fuse", "contributor": "unknown", "details": "Fused from brainstorming + writing-plans + subagent-driven-development + verification-before-completion + finishing-a-development-branch. Named capstone: gsd-build/get-shit-done. CLI suite-manifest gap tracked in #926." }, { "timestamp": "2026-07-02T21:46:19Z", "action": "type_change", "contributor": "unknown", "details": "Reclassified from extra to ultimate" } ], "cluster": 0, "positions": { "deterministic": [ -0.19596086337190727, -0.04109293490063314, 0.05578989541793163, 0.0007530927585067755 ], "spectral": [ -0.0019835568271826414, -0.011351865256877536, -0.007979589481635282, -0.002351431540531654 ], "semantic": [ -0.19596086337190727, -0.04109293490063314, 0.05578989541793163, 0.0007530927585067755 ] }, "namedMaxLevel": "5★", "ultimateGateStatus": { "passes": false, "reason": "only 0/3 graded evidence sources" } }, { "id": "graph-driven-issue-triage", "name": "Graph-Driven Issue Triage", "type": "extra", "description": "Combines codebase or knowledge-graph construction with automated issue triage: ingest a graph artifact, surface architectural debt or missing-prerequisite signals from the graph topology, and convert each finding into a tracked issue with reproducible evidence.", "prerequisites": [ "issue-triage", "knowledge-graph-build" ], "derivatives": [], "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-30", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-29T18:12:50Z", "action": "add", "contributor": "mbtiongson1", "details": "Added generic skill graph-driven-issue-triage to capture the safishamsi/graphify + mattpocock/triage fusion (META §6.2)" }, { "timestamp": "2026-05-29T18:13:06Z", "action": "rank_up", "contributor": "mbtiongson1", "details": "Calibrated level from None to 3★" }, { "timestamp": "2026-05-29T18:20:48Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added B evidence from https://github.com/gaia-research/gaia-skill-tree/blob/main/.agents/skills/graphify-triage/SKILL.md" } ], "cluster": 0, "positions": { "deterministic": [ 0.3454212759540817, 0.4836585123254324, 0.1570561696070558, 0.0006873372204156642 ], "spectral": [ -0.001983556827183036, -0.011351865256877126, -0.007979589481636025, -0.0023514315405307835 ], "semantic": [ 0.3454212759540817, 0.4836585123254324, 0.1570561696070558, 0.0006873372204156642 ] }, "namedMaxLevel": "2★" }, { "id": "grill-me", "name": "Grill Me", "type": "extra", "description": "Conducts a relentless, one-question-at-a-time Socratic interview to stress-test designs and force the resolution of hidden assumptions before code is written.", "prerequisites": [ "design-review", "self-critique" ], "derivatives": [ "grill-with-docs" ], "conditions": "Enforces a strict questioning loop that prevents the agent from proceeding to implementation until all branches are resolved.", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-15", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-14T20:30:46Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" } ], "cluster": 6, "positions": { "deterministic": [ 0.06894619951100112, -0.5934333812913952, 0.15172636570236503, 0.0006140531386483891 ], "spectral": [ -0.0019835568271826063, -0.011351865256877515, -0.00797958948163574, -0.002351431540531014 ], "semantic": [ 0.38209814633279965, -0.5338318355475539, -0.31338911222787463, -0.5099827895562327 ] }, "namedMaxLevel": "3★" }, { "id": "grill-with-docs", "name": "Grill With Docs", "type": "extra", "description": "The apex of agentic design alignment. 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(backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-05-25T04:25:33Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 3★ to 2★" }, { "timestamp": "2026-05-25T04:44:23Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 3★ to 1★", "previousValue": "3★", "newValue": "1★" }, { "timestamp": "2026-06-02T23:45:12Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/shmsw25/FActScoring" }, { "timestamp": "2026-06-14T07:09:00Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2210.08726 as A (trustNumber: 85.0)" } ], "cluster": 0, "positions": { "deterministic": [ 0.5974714874597938, 0.018498625298439715, 0.14106675789298356, 0.00044789617188392824 ], "spectral": [ -0.001983556827182849, -0.01135186525687759, -0.007979589481635574, -0.002351431540531812 ], "semantic": [ -0.23987688720053188, -0.25727545692681925, -0.307625804818328, -0.5173494285825124 ] } }, { "id": "guardrails", "name": "Guardrails", "type": "extra", "description": "Wraps LLM outputs with programmatic safety rules, content filters, and topical constraints that detect policy violations and enforce compliant, on-policy responses before they reach the user.", "prerequisites": [ "evaluate-output", "classify", "structured-output" ], "derivatives": [ "founder-mode-orchestration" ], "conditions": "Requires a defined policy schema and an evaluation loop.", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2603.25176", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "Prompt Attack Detection with LLM-as-a-Judge (2026) -- guardrail deployment framework for detecting jailbreaks and prompt injections under production latency constraints. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/NVIDIA-NeMo/Guardrails", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "NeMo Guardrails -- open-source toolkit for adding programmable safety rails to LLM-based conversational systems; actively maintained. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-06-14T07:09:00Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2603.25176 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:00Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/NVIDIA-NeMo/Guardrails as B (trustNumber: 70.0)" } ], "cluster": 3, "positions": { "deterministic": [ -0.4321434976602793, -0.4201915717964437, 0.1357369539882928, 0.0003566834723744611 ], "spectral": [ -0.0019835568271826067, -0.0113518652568775, -0.007979589481635786, -0.002351431540531838 ], "semantic": [ 0.15731796137608348, -0.25373539697726993, -0.11415025655388689, -0.02312239360193097 ] }, "namedMaxLevel": "3★" }, { "id": "headless-worker-collect", "name": "Headless Worker Collect", "type": "basic", "description": "Aggregates and formats results from distributed headless workers stored in shared memory with filtering and status reporting.", "prerequisites": [], "derivatives": [], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-19", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-19T16:29:16Z", "action": "propose", "contributor": "claude", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" } ], "cluster": 7, "positions": { "deterministic": [ 0.05411425008136411, 1.0015863161490992, 0.21568401255865383, 0.0002612460121396618 ], "spectral": [ -0.0019835568271822793, -0.011351865256876531, -0.007979589481637659, -0.0023514315405305684 ], "semantic": [ -0.040470776919851764, 0.3824605896785551, 0.21376747533385293, 0.26658525889866597 ] }, "namedMaxLevel": "2★" }, { "id": "headless-worker-spawn", "name": "Headless Worker Spawn", "type": "basic", "description": "Launches headless AI worker processes for parallel background task execution with configurable worker types and shared memory coordination.", "prerequisites": [], "derivatives": [], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-19", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-19T16:29:16Z", "action": "propose", "contributor": "claude", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" } ], "cluster": 1, "positions": { "deterministic": [ 0.6346097358383911, -0.7786434451650478, 0.20680100605083607, 0.0001625373707347646 ], "spectral": [ -0.001983556827181992, -0.011351865256876092, -0.007979589481637243, -0.002351431540530934 ], "semantic": [ 0.4800701605452582, 0.29878355641060517, 0.5671995566102241, 0.4514936102219647 ] }, "namedMaxLevel": "2★" }, { "id": "humanize-prose", "name": "Humanize Prose", "type": "extra", "description": "Audits and rewrites prose to remove generic AI-writing patterns, preserve author intent, and adapt tone toward a more natural human voice.", "prerequisites": [ "document-editing", "audience-model", "format-output" ], "derivatives": [], "conditions": "Requires explicit user permission to revise voice, tone, and stylistic markers without changing factual claims.", "evidence": [ { "class": "B", "source": "https://github.com/NousResearch/hermes-agent/blob/main/skills/creative/humanizer/SKILL.md", "evaluator": "openai-codex", "date": "2026-05-06", "notes": "Hermes Agent humanizer skill identifies AI-generated writing patterns and rewrites text to sound more natural while retaining meaning. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [ "NousResearch/hermes-agent" ], "status": "provisional", "createdAt": "2026-05-06", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-06-14T07:09:01Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/NousResearch/hermes-agent/blob/main/skills/creative/humanizer/SKILL.md as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ -0.6001322968863427, 0.08598858085292924, 0.11974754227422053, 6.154381227595198e-05 ], "spectral": [ -0.0019835568271830153, -0.01135186525687761, -0.007979589481635766, -0.0023514315405315568 ], "semantic": [ -0.06961683163440699, -0.6165918034254668, 0.1818460185538785, -0.07148039983353449 ] } }, { "id": "hybrid-workflow-coordination", "name": "Hybrid Workflow Coordination", "type": "basic", "description": "Routes tasks between interactive reasoning phases and parallel background execution with configurable workflow templates.", "prerequisites": [], "derivatives": [], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-19", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-19T16:29:16Z", "action": "propose", "contributor": "claude", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" } ], "cluster": 3, "positions": { "deterministic": [ 0.8317130175623593, 0.567664361529928, 0.18903499303520013, -4.0725568984689246e-05 ], "spectral": [ -0.001983556827182393, -0.011351865256875735, -0.007979589481635886, -0.0023514315405292955 ], "semantic": [ 0.5568346285034816, 0.2247331765456612, 0.3493727276504377, 0.3524068126903201 ] }, "namedMaxLevel": "2★" }, { "id": "hypothesis-generate", "name": "Hypothesis Generation", "type": "basic", "description": "Formulates novel, testable scientific hypotheses by synthesising existing literature, identifying knowledge gaps, and proposing mechanistic explanations.", "prerequisites": [], "derivatives": [ "scientific-discovery", "systematic-debugging" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2304.05376", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "ChemCrow (Bran et al., 2023) — LLM augmented with 18 chemistry tools autonomously proposes and validates synthesis routes; GPT-4 outperforms on Chem. benchmark. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "A", "source": "https://arxiv.org/abs/2304.05332", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "Coscientist (Boiko et al., 2023) — autonomous LLM system designs and executes chemistry experiments; independently re-derived Suzuki coupling conditions. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/SakanaAI/AI-Scientist", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "The AI Scientist (Sakana AI) — end-to-end pipeline generating ideas, running experiments, and writing ML papers; 50+ auto-generated manuscripts reviewed. 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(backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-06-14T07:08:51Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2112.10752 as A (trustNumber: 85.0)" } ], "cluster": 0, "positions": { "deterministic": [ 0.9604346533815902, -0.31786405744264445, 0.16238597351174655, -0.00034496777785296623 ], "spectral": [ 0.03022138659156839, 0.466825787576873, 0.39913971621720984, -0.5498882037810684 ], "semantic": [ -0.43105865100078633, -0.6341303915796758, 0.14466291073328238, 0.5704856668462921 ] } }, { "id": "issue-triage", "name": "Issue Triage", "type": "basic", "description": "Classifies incoming issue reports through a structured state machine, assigns triage roles (bug/enhancement, needs-info/ready-for-agent/wontfix), reproduces bugs, requests missing detail, and produces structured resolution briefs for agent or human handoff.", "prerequisites": [], "derivatives": [], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2501.18908", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "CASEY system: LLMs automate CWE identification (68% accuracy) and severity assessment (73.6%) for security bug triage. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "A", "source": "https://arxiv.org/abs/2504.18804", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "LLMs transform unstructured bug reports into high-quality structured formats; fine-tuned Qwen 2.5 achieves 77% CTQRS. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-06-14T07:08:51Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2501.18908 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:51Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2504.18804 as A (trustNumber: 85.0)" } ], "cluster": 3, "positions": { "deterministic": [ -0.9273691080138519, -0.417062658198661, 0.15350296700392865, -0.00044214775426347144 ], "spectral": [ -0.00198355682718301, -0.011351865256877302, -0.007979589481635917, -0.0023514315405307627 ], "semantic": [ 0.39820676021520945, -0.07375583235976185, 0.029016292424571783, -0.20477110646453275 ] }, "namedMaxLevel": "3★" }, { "id": "knowledge-graph-build", "name": "Knowledge Graph Construction", "type": "extra", "description": "Extracts entities and relations from unstructured text, resolves co-references, and assembles them into a queryable graph structure with typed edges.", "prerequisites": [ "extract-entities", "logical-inference" ], "derivatives": [ "rag-pipeline", "autonomous-web-research" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2306.08302", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "Pan et al. (2024) — Unifying Large Language Models and Knowledge Graphs: A Roadmap; comprehensive survey showing LLM-KG synergy improves downstream tasks by 5-15%. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/microsoft/graphrag", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "Microsoft GraphRAG — production KG construction pipeline; extracts community summaries and entity graphs from corpora, enabling global sensemaking queries. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 }, { "source": "https://arxiv.org/abs/2408.03910", "evaluator": "mbtiongson1", "date": "2026-06-19", "type": "benchmark-result", "class": "A", "notes": "RAG token compression benchmark: up to 71.5x token reduction per query vs raw file reading. AST-based knowledge graph (May 2026). [generic layer; inherits to safishamsi/graphify]" } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-06-14T07:09:01Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2306.08302 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:01Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/microsoft/graphrag as B (trustNumber: 70.0)" }, { "timestamp": "2026-06-19T10:50:12Z", "action": "evidence_added", "contributor": "unknown", "details": "Added evidence from https://arxiv.org/abs/2408.03910 (type: benchmark-result)" } ], "verification": { "firstEvidenceAt": "2026-06-19T10:50:11Z" }, "cluster": 2, "positions": { "deterministic": [ 0.23881863211533233, 0.5596337992624336, 0.08776871884607605, -0.0005355708338412389 ], "spectral": [ -0.001983556827182483, -0.011351865256877335, -0.00797958948163587, -0.002351431540531104 ], "semantic": [ -0.8639219918482581, 0.07118645036798732, 0.13643044985860445, -0.1286207485239794 ] }, "namedMaxLevel": "4★" }, { "id": "knowledge-harvest", "name": "Knowledge Harvest", "type": "extra", "description": "Extracts, structures, and embeds knowledge from web sources into a searchable corpus.", "prerequisites": [ "web-scrape", "extract-entities", "embed-text" ], "derivatives": [], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-05-18T09:04:22Z", "action": "demote", "contributor": "jules", "details": "Calibrated/demoted rank from 4★ to 1★", "previousValue": "4★", "newValue": "1★" } ], "cluster": 2, "positions": { "deterministic": [ 0.1989486281760802, -0.5767801773948629, 0.08243891494138542, -0.0006243035640566914 ], "spectral": [ -0.001983556827182708, -0.011351865256876613, -0.007979589481635475, -0.002351431540531559 ], "semantic": [ -0.9823168514475518, 0.0063436330442330924, 0.22478546997875432, -0.2461844604970095 ] } }, { "id": "knowledge-management", "name": "Knowledge Management", "type": "extra", "description": "Organizes, relates, and retrieves information across structured pages, databases, and shared knowledge bases, maintaining semantic links between information nodes.", "prerequisites": [ "api-call", "retrieve" ], "derivatives": [ "knowledge-harvest", "founder-mode-orchestration" ], "conditions": "", "evidence": [ { "class": "C", "source": "https://hermes-agent.nousresearch.com/docs/skills", "evaluator": "gemini-cli", "date": "2026-05-17", "notes": "Hermes Skills Hub: Notion integration for structured notes and databases. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [ "NousResearch/hermes-agent" ], "status": "provisional", "createdAt": "2026-05-17", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-17T13:00:26Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-06-14T07:09:01Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://hermes-agent.nousresearch.com/docs/skills as B (trustNumber: 70.0)" } ], "cluster": 2, "positions": { "deterministic": [ -0.5401206650090179, 0.2891090525801307, 0.07710911103669454, -0.0007074593568006592 ], "spectral": [ -0.001983556827182894, -0.011351865256877931, -0.007979589481635553, -0.0023514315405315394 ], "semantic": [ -0.4963549029206952, 0.46556195771889153, 0.19760530846353436, -0.1590070914778432 ] }, "namedMaxLevel": "2★" }, { "id": "literature-review", "name": "Literature Review", "type": "extra", "description": "Conducts systematic multi-database academic literature searches following PRISMA/SWARM protocols, screens and synthesises findings, verifies all citations, and generates a structured review report.", "prerequisites": [ "cite-sources", "literature-search", "research", "summarize" ], "derivatives": [], "conditions": "Requires access to academic databases (PubMed, bioRxiv, ChEMBL, or equivalent).", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2501.05468", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "Rouzrokh et al. (2025) — LatteReview: multi-agent framework for systematic review automation; modular agents for title/abstract screening, relevance scoring, and structured data extraction with RAG and multimodal support. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-06-02T23:45:12Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/K-Dense-AI/scientific-agent-skills/blob/main/scientific-skills/literature-review/SKILL.md" }, { "timestamp": "2026-06-14T07:09:01Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2501.05468 as A (trustNumber: 85.0)" } ], "cluster": 5, "positions": { "deterministic": [ 0.5909478112794752, 0.14969779068153927, 0.07177930713200378, -0.0007842073468796918 ], "spectral": [ -0.0019835568271826753, -0.011351865256877506, -0.007979589481635628, -0.002351431540531432 ], "semantic": [ -0.20177983197630156, 0.5655373934269138, -0.17370933914143014, -0.34823642833509877 ] } }, { "id": "literature-search", "name": "Literature Search", "type": "basic", "description": "Queries and searches academic literature databases (e.g. PubMed, arXiv, bioRxiv, OpenAlex) to locate papers, retrieve abstracts, resolve citations, and fetch full-text documents.", "prerequisites": [], "derivatives": [], "evidence": [ { "class": "B", "source": "https://github.com/google-deepmind/science-skills", "evaluator": "unknown", "date": "2026-05-23", "notes": "Foundational canonical generic skill for Literature Search. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-23", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-22T20:22:06Z", "action": "add", "contributor": "unknown", "details": "Added generic skill literature-search" }, { "timestamp": "2026-05-22T20:22:06Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills" }, { "timestamp": "2026-05-22T20:22:14Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/pubmed_database/SKILL.md" }, { "timestamp": "2026-05-22T20:22:15Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/literature_search_biorxiv/SKILL.md" }, { "timestamp": "2026-05-22T20:22:16Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/literature_search_europepmc/SKILL.md" }, { "timestamp": "2026-05-22T20:22:17Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/literature_search_openalex/SKILL.md" }, { "timestamp": "2026-05-22T20:28:53Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-06-14T07:08:51Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/google-deepmind/science-skills as B (trustNumber: 70.0)" } ], "cluster": 2, "positions": { "deterministic": [ -0.5622594621404547, -0.8533253259197909, 0.109087934464839, -0.0008537806937464336 ], "spectral": [ -0.001983556827183193, -0.011351865256877617, -0.007979589481635928, -0.0023514315405305766 ], "semantic": [ -0.7757805200905451, 0.6881880241573536, -0.11075814544166315, -0.23354259466235064 ] } }, { "id": "logical-inference", "name": "Logical Inference", "type": "basic", "description": "Applies deductive, inductive, or abductive reasoning to derive valid conclusions from premises and structured knowledge.", "prerequisites": [], "derivatives": [ "knowledge-graph-build", "multimodal-reasoning" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2201.11903", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "Chain-of-Thought prompting (Wei et al.) — few-shot CoT elicits multi-step reasoning; +18% on GSM8K and +15% on SVAMP over standard prompting. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-06-14T07:08:51Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2201.11903 as A (trustNumber: 85.0)" } ], "cluster": 0, "positions": { "deterministic": [ -0.16518114617848653, 1.0077713945445286, 0.10020492795702123, -0.0009154842435168829 ], "spectral": [ -0.00198355682718257, -0.011351865256877591, -0.007979589481635789, -0.002351431540531921 ], "semantic": [ -0.17391262900970006, -0.3864742443266516, -0.009088552540865883, -0.4540556047028018 ] } }, { "id": "math-reason", "name": "Math Reason", "type": "basic", "description": "Solves multi-step mathematical problems including arithmetic, algebra, calculus, and competition mathematics through symbolic and numeric reasoning.", "prerequisites": [], "derivatives": [ "autonomous-data-scientist", "scientific-discovery" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2206.14858", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "Minerva (Google) — 50.3% on MATH and 78.5% on MMLU-STEM benchmarks using chain-of-thought over scientific literature. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-06-14T07:08:51Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2206.14858 as A (trustNumber: 85.0)" } ], "cluster": 5, "positions": { "deterministic": [ 0.7999566845137775, -0.6341461745910488, 0.09132192144920319, -0.0009687014747182151 ], "spectral": [ -0.0019835568271835786, -0.011351865256879094, -0.007979589481635194, -0.002351431540532811 ], "semantic": [ 0.01601522261642207, -0.16869959325641135, -0.018260363403244995, -0.23146412194199384 ] } }, { "id": "mathematical-animation", "name": "Mathematical Animation", "type": "extra", "description": "Produces programmatic mathematical and algorithmic animations with high pedagogical and visual quality, utilizing LaTeX for notation and geometric coordinate systems for spatial layout.", "prerequisites": [ "code-execution", "data-visualize" ], "derivatives": [], "conditions": "", "evidence": [ { "class": "B", "source": "https://github.com/ManimCommunity/manim", "evaluator": "gemini-cli", "date": "2026-05-17", "notes": "Manim Community Edition -- programmatic animation engine for explanatory math videos; inspired by 3Blue1Brown. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [ "NousResearch/hermes-agent" ], "status": "provisional", "createdAt": "2026-05-17", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-17T13:00:26Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-06-14T07:09:01Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/ManimCommunity/manim as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ -0.6141124360684468, -0.045137673672585706, 0.05046009151324094, -0.0010129006583675453 ], "spectral": [ -0.001983556827182466, -0.011351865256877576, -0.00797958948163571, -0.0023514315405313542 ], "semantic": [ -0.09586916669295724, -0.2704585036246553, -0.037560693755373284, 0.5212613984483249 ] } }, { "id": "mcp-debugger-control", "name": "MCP Debugger Control", "type": "extra", "description": "Exposes low-level debugger capabilities (breakpoints, stepping, stack inspection, variable evaluation) to AI agents via the Model Context Protocol, enabling real-time runtime diagnosis and autonomous bug fixing.", "prerequisites": [ "mcp-integration", "refactor-code" ], "derivatives": [ "autonomous-debug" ], "conditions": "Requires a target debugger integration and a supported MCP client.", "evidence": [], "knownAgents": [ "ladislav-sopko/mcp-vs" ], "status": "provisional", "createdAt": "2026-05-14", "updatedAt": "2026-06-02", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-14T07:54:42Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-05-25T04:25:33Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 4★ to 3★" }, { "timestamp": "2026-05-25T04:44:23Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 4★ to 2★", "previousValue": "4★", "newValue": "2★" }, { "timestamp": "2026-06-02T23:45:12Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/LadislavSopko/mcp-server-for-vs" } ], "cluster": 3, "positions": { "deterministic": [ 0.41938842976531493, 0.44627378115166505, 0.0451302876085502, -0.0010476401708321554 ], "spectral": [ -0.001983556827182459, -0.011351865256877078, -0.00797958948163566, -0.0023514315405308147 ], "semantic": [ 0.6893212433687267, -0.010340809006915561, -0.16067553201910234, 0.07872802283136737 ] } }, { "id": "mcp-integration", "name": "MCP Integration", "type": "basic", "description": "Connect to and invoke tools exposed by Model Context Protocol (MCP) servers — enumerate available tools, execute calls, and handle responses across any MCP-compatible backend.", "prerequisites": [], "derivatives": [ "mcp-server-creation", "founder-mode-orchestration" ], "conditions": "", "evidence": [ { "class": "B", "source": "https://github.com/modelcontextprotocol/go-sdk", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "Official Go SDK for MCP servers and clients (4.4k stars, maintained by Anthropic + Google). Demonstrates production-grade MCP client integration pattern. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 }, { "class": "B", "source": "https://github.com/nanbingxyz/5ire", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "Cross-platform AI assistant with full MCP client support (5.2k stars). Reproduces tool enumeration, execution, and multi-server routing. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-06-14T07:08:51Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/modelcontextprotocol/go-sdk as B (trustNumber: 70.0)" }, { "timestamp": "2026-06-14T07:08:51Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/nanbingxyz/5ire as B (trustNumber: 70.0)" } ], "cluster": 3, "positions": { "deterministic": [ -0.01700907163411994, -1.0244270484446218, 0.06467290192574943, -0.0010725729063868555 ], "spectral": [ -0.0019835568271827086, -0.011351865256877182, -0.007979589481635636, -0.0023514315405309804 ], "semantic": [ 0.33245554890556583, 0.3404824755071994, -0.07657461606186171, 0.5429713399304172 ] }, "namedMaxLevel": "2★" }, { "id": "mcp-server-creation", "name": "MCP Server Creation", "type": "extra", "description": "Designs and implements Model Context Protocol servers that expose external APIs, files, or services as well-typed tools with clear schemas, authentication, and testable agent workflows.", "prerequisites": [ "mcp-integration", "tool-creation", "api-call" ], "derivatives": [ "workflow-automation", "tool-chaining", "multi-agent-orchestration-v" ], "conditions": "Requires an integration target, a supported MCP SDK, tool schemas, authentication handling, and local validation against an MCP client.", "evidence": [ { "class": "B", "source": "https://github.com/anthropics/skills/blob/main/skills/mcp-builder/SKILL.md", "evaluator": "codex", "date": "2026-05-10", "notes": "Anthropic mcp-builder skill gives a reproducible guide for building high-quality MCP servers in Python FastMCP or the Node/TypeScript MCP SDK. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 }, { "class": "B", "source": "https://github.com/modelcontextprotocol/python-sdk", "evaluator": "codex", "date": "2026-05-10", "notes": "Official MCP Python SDK is active and provides FastMCP server examples for exposing tools, resources, prompts, structured outputs, transports, and inspector-based testing. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 }, { "class": "B", "source": "https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/mcp-builder/SKILL.md", "evaluator": "codex", "date": "2026-05-27", "type": "repo", "trustNumber": 70.0, "notes": "(backfilled — class-to-type migration)" } ], "knownAgents": [ "Claude" ], "status": "provisional", "createdAt": "2026-05-10", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-27T23:24:31Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/mcp-builder/SKILL.md" }, { "timestamp": "2026-06-14T07:09:01Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/anthropics/skills/blob/main/skills/mcp-builder/SKILL.md as B (trustNumber: 70.0)" }, { "timestamp": "2026-06-14T07:09:01Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/modelcontextprotocol/python-sdk as B (trustNumber: 70.0)" }, { "timestamp": "2026-06-14T07:09:01Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/mcp-builder/SKILL.md as B (trustNumber: 70.0)" } ], "cluster": 3, "positions": { "deterministic": [ -0.410608889605098, 0.4588988814014388, 0.03447067979916868, -0.0010874497453796502 ], "spectral": [ -0.00198355682718253, -0.011351865256876969, -0.007979589481635775, -0.002351431540531008 ], "semantic": [ 0.32818113889946054, 0.3708210635397441, -0.10046883212978694, 0.40519795533741515 ] } }, { "id": "memory-manage", "name": "Memory Manage", "type": "extra", "description": "Maintains, indexes, and retrieves conversational and long-term memory across sessions, managing context window constraints.", "prerequisites": [ "context-compression", "retrieve" ], "derivatives": [ "conversational-agent", "real-time-voice-assistant", "founder-mode-orchestration" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2310.08560", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "MemGPT — virtual context management system enabling LLMs to handle unbounded memory; benchmarked on multi-session dialogue and document QA. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-05-18T16:24:05Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Type adjusted from basic to extra", "previousValue": "basic", "newValue": "extra" }, { "timestamp": "2026-06-14T07:09:01Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2310.08560 as A (trustNumber: 85.0)" } ], "cluster": 4, "positions": { "deterministic": [ 0.6097859239828429, -0.063163767581347, 0.029140875894477985, -0.0010921220433529524 ], "spectral": [ -0.001983556827182679, -0.011351865256877246, -0.007979589481635675, -0.0023514315405313876 ], "semantic": [ -0.09686671700625775, 0.061792469352925615, 0.4678175785898862, 0.059663212048372036 ] }, "namedMaxLevel": "2★" }, { "id": "memory-pattern-design", "name": "Memory Pattern Design", "type": "basic", "description": "Designs recurring memory storage patterns for AI agents with LRU caching, SQLite persistence, and associative retrieval.", "prerequisites": [], "derivatives": [], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-19", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-19T16:29:16Z", "action": "propose", "contributor": "claude", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" } ], "cluster": 1, "positions": { "deterministic": [ -0.8248007137214964, -0.6123362012399883, 0.038023882402295955, -0.001086543116249869 ], "spectral": [ -0.001983556827183327, -0.011351865256877208, -0.007979589481636023, -0.002351431540530936 ], "semantic": [ 0.005179955109954982, 0.30617995327301073, 0.7744756099449817, -0.2673275577365099 ] }, "namedMaxLevel": "2★" }, { "id": "ml-artifact-management", "name": "ML Artifact Management", "type": "extra", "description": "Manages machine learning models, datasets, and experiment logs through centralized hub or tracking repositories, handling versioning and metadata extraction.", "prerequisites": [ "api-call", "classify" ], "derivatives": [], "conditions": "", "evidence": [ { "class": "B", "source": "https://github.com/huggingface/huggingface_hub", "evaluator": "gemini-cli", "date": "2026-05-17", "notes": "Hugging Face Hub CLI -- standard interface for managing ML artifacts. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [ "huggingface/hf-cli" ], "status": "provisional", "createdAt": "2026-05-17", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-17T13:00:26Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-06-14T07:09:01Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/huggingface/huggingface_hub as B (trustNumber: 70.0)" } ], "cluster": 7, "positions": { "deterministic": [ 0.11402352211951584, 0.6039085664936873, 0.018481268085096498, -0.0010707687068658661 ], "spectral": [ -0.001983556827182446, -0.01135186525687654, -0.007979589481636086, -0.002351431540530596 ], "semantic": [ -0.04240979239787801, 0.6101674406072917, -0.1776836953979317, -0.03620191320683969 ] } }, { "id": "ml-pipeline", "name": "ML Pipeline", "type": "extra", "description": "Designs and implements production ML pipelines with experiment tracking (MLflow, W&B), feature stores (Feast), orchestration (Kubeflow, Airflow), and automated retraining workflows including model evaluation gates and A/B deployment.", "prerequisites": [ "data-analysis", "automated-testing", "code-generation" ], "derivatives": [], "conditions": "Requires access to a container orchestration environment and model registry.", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2502.18530", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "Xue et al. (2025) — IMPROVE: Iterative Model Pipeline Refinement and Optimization Leveraging LLM Experts; iterative component-level refinement consistently outperforms single-step zero-shot LLM-based ML pipeline optimization with theoretical convergence guarantees. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/Jeffallan/claude-skills/blob/main/skills/ml-pipeline/SKILL.md", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "Jeffallan/claude-skills — reproducible ml-pipeline skill: full lifecycle from data validation and feature engineering through distributed training, experiment tracking, model evaluation gates, A/B testing, and automated retraining with DVC/Feast/MLflow/Kubeflow. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-06-14T07:09:01Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2502.18530 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:02Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/Jeffallan/claude-skills/blob/main/skills/ml-pipeline/SKILL.md as B (trustNumber: 70.0)" } ], "cluster": 3, "positions": { "deterministic": [ 0.32069868283997577, -0.524545841059714, 0.01315146418040571, -0.0010449564278851825 ], "spectral": [ -0.00198355682718285, -0.011351865256878035, -0.007979589481635628, -0.002351431540532237 ], "semantic": [ 0.4504737349546622, 0.3807489530092797, -0.11700186459862619, 0.4524998851512133 ] } }, { "id": "molecular-databases", "name": "Molecular Databases", "type": "basic", "description": "Queries and retrieves structural, chemical, and biological activity data for small molecules, chemical compounds, or drug candidates from molecular repositories (e.g., ChEMBL, PubChem).", "prerequisites": [], "derivatives": [], "evidence": [ { "class": "B", "source": "https://github.com/google-deepmind/science-skills", "evaluator": "unknown", "date": "2026-05-23", "notes": "Foundational canonical generic skill for Molecular Databases. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-23", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-22T20:22:07Z", "action": "add", "contributor": "unknown", "details": "Added generic skill molecular-databases" }, { "timestamp": "2026-05-22T20:22:07Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills" }, { "timestamp": "2026-05-22T20:22:21Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/pubchem_database/SKILL.md" }, { "timestamp": "2026-05-22T20:28:53Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-06-14T07:08:52Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/google-deepmind/science-skills as B (trustNumber: 70.0)" } ], "cluster": 2, "positions": { "deterministic": [ -0.9887923881849346, 0.280376082468419, 0.011374862878842212, -0.001009364187066988 ], "spectral": [ -0.001983556827183314, -0.011351865256877302, -0.007979589481634063, -0.0023514315405346927 ], "semantic": [ -0.8591521470871053, 0.7645848060141238, -0.0946812647582307, -0.17152138692062446 ] } }, { "id": "multi-agent-debate", "name": "Multi-Agent Debate", "type": "extra", "description": "Runs multiple LLM agents that propose, critique, and iteratively refine answers across structured debate rounds, converging on more accurate and well-reasoned responses than any single agent achieves.", "prerequisites": [ "self-critique", "evaluate-output", "chain-of-thought" ], "derivatives": [ "founder-mode-orchestration" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2305.14325", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "Du et al. (2023) -- Improving Factuality and Reasoning through Multi-Agent Debate; +14% truthfulness on TruthfulQA and +6% on MMLU Reasoning over single-model greedy decoding baselines. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "A", "source": "https://arxiv.org/abs/2308.07201", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "ChatEval (Chan et al., 2023) -- role-play multi-agent debate framework for open-ended text quality evaluation; outperforms single LLM judges on correlation with human ratings across MT-Bench and Vicuna benchmarks. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-05-25T03:45:37Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 4★ to 2★" }, { "timestamp": "2026-05-25T03:46:10Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 4★ to 2★", "previousValue": "4★", "newValue": "2★" }, { "timestamp": "2026-06-14T07:09:02Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2305.14325 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:02Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2308.07201 as A (trustNumber: 85.0)" } ], "cluster": 3, "positions": { "deterministic": [ 0.5483781852374515, 0.27527013196452854, 0.002491856371024268, -0.0009643476103163071 ], "spectral": [ -0.0019835568271829107, -0.011351865256877881, -0.007979589481635454, -0.0023514315405320533 ], "semantic": [ 0.30536567784856, -0.4232435899519605, 0.5924945663036967, -0.4306970458006352 ] }, "namedMaxLevel": "2★" }, { "id": "multi-agent-orchestration-v", "name": "Multi-Agent Orchestration", "type": "extra", "description": "Coordinates multiple specialized agents across complex workflows with dynamic task allocation and conflict resolution.", "prerequisites": [ "plan-and-execute", "route-intent", "tool-select" ], "derivatives": [], "conditions": "Requires extensive multi-system validation before level advancement.", "evidence": [ { "class": "B", "source": "https://github.com/ruvnet/ruflo", "evaluator": "mbtiongson1", "date": "2026-05-17", "notes": "Replaced missing seed evidence with live repository from real-skills catalog. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-21", "version": "0.1.0", "title": "Grand Conductor", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 5★ (provisional)", "previousValue": null, "newValue": "5★" }, { "timestamp": "2026-05-18T09:04:22Z", "action": "evidence_added", "contributor": "jules", "details": "Added evidence: https://github.com/ruvnet/ruflo", "previousValue": null, "newValue": "5★" }, { "timestamp": "2026-05-18T15:45:47Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Type adjusted from ultimate to extra", "previousValue": "ultimate", "newValue": "extra" }, { "timestamp": "2026-05-19T22:44:52Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 5★ to 3★", "previousValue": "5★", "newValue": "3★" }, { "timestamp": "2026-06-14T07:09:02Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/ruvnet/ruflo as B (trustNumber: 70.0)" } ], "cluster": 1, "positions": { "deterministic": [ -0.22162527188659323, -0.5755006331141392, -0.0028379475336664825, -0.0009103564883875301 ], "spectral": [ -0.001983556827182829, -0.011351865256877886, -0.007979589481635409, -0.002351431540531697 ], "semantic": [ 0.6122867619040577, 0.2786201156769834, 0.6296766786366046, 0.1672029933188918 ] } }, { "id": "multi-node-orchestration", "name": "Flow Nexus Orchestration", "type": "extra", "description": "Complete Flow Nexus platform: multi-topology swarm deployment, cloud platform management, and distributed neural training unified into one orchestration layer.", "prerequisites": [ "multi-agent-orchestration-v", "cloud-platform-management", "distributed-neural-training" ], "derivatives": [], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-19", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-19T16:29:16Z", "action": "propose", "contributor": "claude", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-06-01T15:39:44Z", "action": "rename", "contributor": "unknown", "details": "Renamed from flow-nexus-orchestration to multi-node-orchestration" } ], "cluster": 0, "positions": { "deterministic": [ -0.22851883846925888, 0.5718751910456318, -0.008167751438357311, -0.0008479302827238788 ], "spectral": [ -0.0019835568271825183, -0.0113518652568773, -0.007979589481635685, -0.0023514315405315403 ], "semantic": [ -0.22851883846925888, 0.5718751910456318, -0.008167751438357311, -0.0008479302827238788 ] }, "namedMaxLevel": "3★" }, { "id": "multi-repo-coordination", "name": "Multi-Repo Coordination", "type": "basic", "description": "Manages synchronized operations across multiple repositories including cross-repo PRs, dependency tracking, and bulk workflow automation.", "prerequisites": [], "derivatives": [], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-19", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-19T16:29:16Z", "action": "propose", "contributor": "claude", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" } ], "cluster": 7, "positions": { "deterministic": [ 0.920475056673627, -0.44869751097912053, -0.02415716315242942, -0.0007776927353369839 ], "spectral": [ -0.0019835568271832174, -0.011351865256877354, -0.007979589481636155, -0.002351431540531943 ], "semantic": [ 0.32075338954292926, 0.6915762913401698, -0.07736677965175008, 0.14460004118577147 ] }, "namedMaxLevel": "2★" }, { "id": "multi-topology-orchestration", "name": "Ruflo", "type": "ultimate", "description": "The complete Ruflo AI orchestration platform: multi-topology swarm deployment, cloud platform management, GitHub automation, hive-mind consensus, reasoning memory bank, and full v3 architecture modernization.", "prerequisites": [ "multi-node-orchestration", "agent-memory-platform", "git-integration", "reasoning-pattern-bank", "platform-modernization-sprint", "dual-mode" ], "derivatives": [], "conditions": "Requires demonstrating all 6 Ruflo suite fusions together in a production multi-agent context. Grandmaster Path: 34k+ stars on ruvnet/ruflo + agent-memory-platform 5★ Ultimate.", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-19", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-19T00:00:00Z", "action": "fuse", "contributor": "mbtiongson1", "details": "Fused 6 Ruflo suite skills into /ruflo 6★ apex ultimate. Components: flow-nexus-orchestration, agent-memory-platform, github-platform-mastery, hive-mind-coordination, reasoning-pattern-bank, platform-modernization-sprint." }, { "timestamp": "2026-05-19T16:29:16Z", "action": "propose", "contributor": "claude", "details": "Skill created as 6★ (provisional)", "previousValue": null, "newValue": "6★" }, { "timestamp": "2026-06-01T15:39:42Z", "action": "rename", "contributor": "unknown", "details": "Renamed from ruflo to multi-topology-orchestration" } ], "cluster": 0, "positions": { "deterministic": [ -0.19857382959368286, -0.05894077355574387, -0.00461454883523009, -0.0007003456365828884 ], "spectral": [ -0.0019835568271826345, -0.011351865256877465, -0.007979589481635933, -0.002351431540531441 ], "semantic": [ -0.19857382959368286, -0.05894077355574387, -0.00461454883523009, -0.0007003456365828884 ] }, "namedMaxLevel": "5★", "ultimateGateStatus": { "passes": false, "reason": "only 0/3 graded evidence sources" } }, { "id": "multimodal-reasoning", "name": "Multimodal Reasoning", "type": "extra", "description": "Integrates information from images and text to answer questions requiring visual grounding and logical inference across modalities.", "prerequisites": [ "image-caption", "question-answer", "logical-inference" ], "derivatives": [], "conditions": "Requires vision-language model capability.", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2304.08485", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "LLaVA — large language and vision assistant; 85.1% on ScienceQA and 64.3% on TextVQA, establishing reproducible multimodal reasoning benchmark. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-05-25T03:45:36Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 3★ to 2★" }, { "timestamp": "2026-05-25T03:46:10Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 3★ to 2★", "previousValue": "3★", "newValue": "2★" }, { "timestamp": "2026-06-14T07:09:02Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2304.08485 as A (trustNumber: 85.0)" } ], "cluster": 0, "positions": { "deterministic": [ 0.31410550533475046, 0.5271127935428572, -0.02415716315242959, -0.0006166618131047921 ], "spectral": [ -0.00198355682718238, -0.011351865256876896, -0.007979589481635699, -0.002351431540531006 ], "semantic": [ -0.3241799733387162, -0.6435770356240139, 0.404215221166943, 0.03580586628454538 ] } }, { "id": "object-detection", "name": "Object Detection", "type": "basic", "description": "Locates and classifies multiple objects within images by producing bounding boxes, confidence scores, and category labels in a single forward pass.", "prerequisites": [], "derivatives": [ "multimodal-reasoning", "browser-automation" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2005.12872", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "DETR (Carion et al., 2020) -- end-to-end object detection with transformers; eliminates hand-crafted anchor design and achieves COCO AP 42.0 with ResNet-50, matching Faster R-CNN with simplified pipeline. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/ultralytics/ultralytics", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "Ultralytics YOLOv8 -- production real-time detection library; COCO AP 50.2 at 8ms inference, 25k+ GitHub stars, reproducible training and evaluation scripts for detection and segmentation. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-06-14T07:08:52Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2005.12872 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:52Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/ultralytics/ultralytics as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ 0.20331172012516383, -1.004251803101415, -0.050806182675883285, -0.000527477406004692 ], "spectral": [ 0.6414501022710712, -0.23009980771448327, 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"PARIS: Ontology Alignment at the Instance and Schema Level — probabilistic holistic alignment at both instance and class/relation levels (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "C", "source": "https://skillsmp.com/skills/qhjqhj00-research-skills-pool-skill-factory-output-ontology-alignment-eval-skill-md", "evaluator": "unknown", "date": "2026-06-03", "notes": "ontology-alignment-eval skill on SkillsMP — benchmarks semantic/lexical mapping of topic labels to 13 scientific ontologies, F1 vs 300-item gold standard (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-06-03", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-06-03T22:48:55Z", "action": "add", "contributor": "unknown", "details": "Added generic skill ontology-alignment" }, { "timestamp": "2026-06-03T22:48:55Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://arxiv.org/abs/2105.07688" }, { "timestamp": "2026-06-03T22:48:55Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://arxiv.org/abs/1105.5516" }, { "timestamp": "2026-06-03T22:48:55Z", "action": "evidence_added", "contributor": "unknown", "details": "Added C evidence from https://skillsmp.com/skills/qhjqhj00-research-skills-pool-skill-factory-output-ontology-alignment-eval-skill-md" }, { "timestamp": "2026-06-14T07:09:02Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2105.07688 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:02Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/1105.5516 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:02Z", "action": "evidence_graded", "contributor": "unknown", "details": 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"2026-04-30", "notes": "TrOCR (Li et al., 2021) -- transformer-based OCR model achieving SOTA on IIIT-5K (97.9%), SVT (97.0%), and CUTE80 (97.9%) scene-text benchmarks, outperforming CNN+attention baselines across all datasets. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/JaidedAI/EasyOCR", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "EasyOCR -- production-grade OCR library supporting 80+ languages; 24k+ GitHub stars, reproducible benchmarks, and documented performance across diverse real-world document types. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-19T22:59:16Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-06-14T07:08:52Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2109.10282 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:52Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/JaidedAI/EasyOCR as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ 1.0148304879987868, 0.11622969991709638, -0.06857219569151918, -0.00033621730182519817 ], "spectral": [ -0.0019835568271823886, -0.011351865256877315, 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"details": "Calibrated/demoted rank from 1★ to 0★", "previousValue": "1★", "newValue": "0★" }, { "timestamp": "2026-06-02T23:45:12Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/gaia-registry/gaia/blob/main/docs/evidence/parseHtml.md" } ], "cluster": 2, "positions": { "deterministic": [ -0.02930433475903125, 1.0213349187076697, -0.08633820870715463, -0.00013419026084188137 ], "spectral": [ -0.0019835568271824003, -0.011351865256877489, -0.007979589481635773, -0.0023514315405316747 ], "semantic": [ -0.5872165383701736, -0.2892480862196408, -0.3509957094905763, 0.2990670468829282 ] } }, { "id": "parse-json", "name": "Parse JSON", "type": "basic", "description": "Extracts structured data from JSON-formatted input, handling nested objects and arrays.", "prerequisites": [], "derivatives": [ "document-analyst", "text-to-sql-pipeline" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-02", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-05-25T04:25:34Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 1★ to 0★" }, { "timestamp": "2026-05-25T04:44:23Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 1★ to 0★", "previousValue": "1★", "newValue": "0★" }, { "timestamp": "2026-06-02T23:45:12Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/gaia-registry/gaia/blob/main/docs/evidence/parseJson.md" } ], "cluster": 2, "positions": { "deterministic": [ 0.7077276030944384, -0.7348451001552635, -0.09522121521497288, -3.1648021843498946e-05 ], "spectral": [ -0.0019835568271823305, -0.01135186525687753, -0.00797958948163551, -0.0023514315405311387 ], "semantic": [ -0.47294351789007777, -0.037885320832344214, -0.24704094623769846, 0.35428647443170097 ] } }, { "id": "parse-pdf", "name": "Parse PDF", "type": "basic", "description": "Extracts text, tables, equations, and structure from PDF documents, preserving layout and reading order.", "prerequisites": [], "derivatives": [ "document-analyst" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2308.13418", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "Nougat (Meta AI) — visual transformer for scientific PDF parsing; 7.6% edit distance on arXiv papers, handling LaTeX, tables, and equations. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-06-14T07:08:52Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2308.13418 as A (trustNumber: 85.0)" } ], "cluster": 2, "positions": { "deterministic": [ -1.0205686041649291, 0.06161231358581245, -0.10410422172279063, 7.054953635444989e-05 ], "spectral": [ -0.001983556827182113, -0.011351865256875834, -0.00797958948163608, -0.0023514315405292743 ], "semantic": [ -0.6836624749624057, -0.05595649725251544, -0.09441436887782342, 0.1637841377797841 ] } }, { "id": "pathway-ontology-retrieval", "name": "Pathway Ontology Retrieval", "type": "basic", "description": "Queries, parses, and resolves biological pathway models, cellular reactions, and hierarchical ontology metadata from pathway and ontology search systems (e.g., Reactome, QuickGO, EMBL-EBI OLS).", "prerequisites": [], "derivatives": [], "evidence": [ { "class": "B", "source": "https://github.com/google-deepmind/science-skills", "evaluator": "unknown", "date": "2026-05-23", "notes": "Foundational canonical generic skill for Pathway Ontology Retrieval. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-23", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-22T20:22:09Z", "action": "add", "contributor": "unknown", "details": "Added generic skill pathway-ontology-retrieval" }, { "timestamp": "2026-05-22T20:22:09Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills" }, { "timestamp": "2026-05-22T20:22:34Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/reactome_database/SKILL.md" }, { "timestamp": "2026-05-22T20:22:35Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/embl_ebi_ols/SKILL.md" }, { "timestamp": "2026-05-22T20:28:53Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-06-14T07:08:52Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/google-deepmind/science-skills as B (trustNumber: 70.0)" } ], "cluster": 2, "positions": { "deterministic": [ 0.7901837721041421, 0.6412220982812368, -0.11298722823060843, 0.00017138128953247438 ], "spectral": [ -0.22919673536360857, -0.49021185799776434, 0.26690792681267256, -0.7459460325299856 ], "semantic": [ -0.6609095992052645, 0.681960935376814, 0.009766359206213352, -0.05108875706025712 ] } }, { "id": "performance-tuning", "name": "Performance Tuning", "type": "basic", "description": "Profiles execution hotspots, measures throughput and latency, and applies targeted optimizations to reduce resource consumption.", "prerequisites": [], "derivatives": [], "conditions": "", "evidence": [ { "class": "B", "source": "https://github.com/ruvnet/ruflo", "evaluator": "mbtiongson1", "date": "2026-05-19", "notes": "Ruflo orchestration platform — 34k+ GitHub stars. (backfilled — class-to-type migration)", "type": "github-stars", "trustNumber": 50.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-19", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-19T16:29:16Z", "action": "propose", "contributor": "claude", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-05-31T02:16:29Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://github.com/addyosmani/agent-skills/blob/main/skills/performance-optimization/SKILL.md" }, { "timestamp": "2026-06-14T07:08:52Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/ruvnet/ruflo as C (trustNumber: 50.0)" } ], "cluster": 4, "positions": { "deterministic": [ -0.15258186064389107, -1.0076671441862854, -0.12187023473842615, 0.00026983976014336586 ], "spectral": [ -0.001983556827182734, -0.011351865256878278, -0.00797958948163547, -0.002351431540531846 ], "semantic": [ 0.29549533037572423, 0.49377383649141166, 0.03958415818498028, 0.06909151375876561 ] }, "namedMaxLevel": "4★" }, { "id": "personal", "name": "mattpocock-personal", "type": "extra", "description": "Personal category suite for Matt Pocock's skills.", "prerequisites": [ "document-editing", "personal-knowledge-management" ], "derivatives": [], "evidence": [ { "class": "B", "source": "https://github.com/mattpocock/skills", "evaluator": "mbtiongson1", "date": "2026-05-22", "notes": "Consolidated personal suite for Matt Pocock's skills. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-22", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-21T16:25:11Z", "action": "add", "contributor": "mbtiongson1", "details": "Added generic skill mattpocock-personal" }, { "timestamp": "2026-05-21T16:31:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-05-21T17:17:41Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added B evidence from https://github.com/mattpocock/skills" }, { "timestamp": "2026-05-21T17:19:20Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 1★ to 4★", "previousValue": "1★", "newValue": "4★" }, { "timestamp": "2026-05-21T17:19:20Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added evidence: https://github.com/mattpocock/skills", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-05-21T19:04:11Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Reclassified from ultimate to extra" }, { "timestamp": "2026-06-01T15:39:54Z", "action": "rename", "contributor": "unknown", "details": "Renamed from mattpocock-personal to personal" }, { "timestamp": "2026-06-14T07:09:02Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/mattpocock/skills as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ -0.34325917671842143, 0.5056471268924011, -0.07745520219933688, 0.00036494118369482376 ], "spectral": [ -0.0019835568271827446, -0.01135186525687717, -0.00797958948163561, -0.0023514315405314583 ], "semantic": [ -0.34325917671842143, 0.5056471268924011, -0.07745520219933688, 0.00036494118369482376 ] }, "namedMaxLevel": "3★" }, { "id": "personal-knowledge-management", "name": "personal-knowledge-management", "type": "extra", "description": "Managing notes and organization in a specific vault.", "prerequisites": [ "retrieve", "context-compression" ], "derivatives": [], "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-22", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-21T16:24:04Z", "action": "add", "contributor": "mbtiongson1", "details": "Added generic skill personal-knowledge-management" }, { "timestamp": "2026-05-21T16:31:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-05-21T17:16:41Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added B evidence from https://github.com/mattpocock/skills/blob/main/skills/personal/obsidian-vault/SKILL.md" }, { "timestamp": "2026-05-21T17:19:20Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 1★ to 3★", "previousValue": "1★", "newValue": "3★" }, { "timestamp": "2026-05-21T17:19:20Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added evidence: https://github.com/mattpocock/skills/blob/main/skills/personal/obsidian-vault/SKILL.md", "previousValue": null, "newValue": "3★" } ], "cluster": 5, "positions": { "deterministic": [ 0.5907477645032091, -0.14293392224938922, -0.08278500610402766, 0.00045573533819907446 ], "spectral": [ -0.0019835568271827373, -0.011351865256877048, -0.007979589481635675, -0.0023514315405316886 ], "semantic": [ -0.09622226040607924, 0.21514778840869717, 0.09436051088870023, -0.3143566170014342 ] }, "namedMaxLevel": "3★" }, { "id": "plan-and-execute", "name": "Plan and Execute", "type": "extra", "description": "Decomposes complex objectives into sub-tasks, selects tools, and orchestrates execution.", "prerequisites": [ "route-intent", "plan-decompose", "tool-select" ], "derivatives": [ "real-time-voice-assistant" ], "conditions": "", "evidence": [ { "class": "B", "source": "https://github.com/Skyvern-AI/skyvern", "evaluator": "mbtiongson1", "date": "2026-05-17", "notes": "Replaced missing seed evidence with live repository from real-skills catalog. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-05-18T09:04:22Z", "action": "evidence_added", "contributor": "jules", "details": "Added evidence: https://github.com/Skyvern-AI/skyvern", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-06-14T07:09:02Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/Skyvern-AI/skyvern as B (trustNumber: 70.0)" } ], "cluster": 3, "positions": { "deterministic": [ -0.5346952866686746, -0.2953991020165027, -0.08811481000871835, 0.0005413150384768654 ], "spectral": [ -0.0019835568271826826, -0.011351865256877196, -0.007979589481635534, -0.002351431540531397 ], "semantic": [ 0.5464001166999115, 0.03261627207896189, 0.037290835676549956, 0.02269424707044544 ] } }, { "id": "plan-decompose", "name": "Plan and Decompose", "type": "basic", "description": "Breaks a complex objective into an ordered sequence of executable sub-tasks.", "prerequisites": [], "derivatives": [ "plan-and-execute", "re-act-reasoning", "tree-of-thought", "workflow-automation", "prd-generation", "vertical-slice-planning", "design-review", "dispatching-parallel-agents", "writing-plans" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-02", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-05-25T04:25:34Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 1★ to 0★" }, { "timestamp": "2026-05-25T04:44:23Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 1★ to 0★", "previousValue": "1★", "newValue": "0★" }, { "timestamp": "2026-06-02T23:45:12Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/gaia-registry/gaia/blob/main/docs/evidence/planDecompose.md" } ], "cluster": 3, "positions": { "deterministic": [ 0.3200979392476187, 0.9604612212776832, -0.15740226076969793, 0.0006208252004519104 ], "spectral": [ -0.001983556827182636, -0.011351865256877139, -0.00797958948163551, -0.002351431540531294 ], "semantic": [ 0.4207477281866868, 0.038786891556485764, 0.10587057504693602, 0.1479251856215517 ] } }, { "id": "platform-modernization-sprint", "name": "Platform Modernization Sprint", "type": "extra", "description": "Systematic v3 platform overhaul: CLI modernization, core implementation, DDD architecture, deep integration, MCP optimization, memory unification, performance tuning, security overhaul, and swarm coordination.", "prerequisites": [ "cli-modernization", "core-platform-implementation", "system-integration", "performance-tuning", "advanced-swarm-coordination" ], "derivatives": [], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-19", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-19T16:29:16Z", "action": "propose", "contributor": "claude", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" } ], "cluster": 3, "positions": { "deterministic": [ 0.24455989064351205, -0.5553196563447671, -0.09877441781809987, 0.00069347138486832 ], "spectral": [ -0.001983556827182704, -0.011351865256878677, -0.007979589481635295, -0.0023514315405324918 ], "semantic": [ 0.5734185303073007, 0.44172253012684076, -0.1951014306601926, 0.24751989006672445 ] }, "namedMaxLevel": "4★" }, { "id": "prd-generation", "name": "PRD Generation", "type": "extra", "summary": "Synthesizes conversational context and codebase knowledge into a structured Product Requirements Document.", "description": "Synthesizes conversation context and codebase knowledge into a structured Product Requirements Document containing a problem statement, extensive user stories, implementation decisions, module boundaries, testing decisions, and out-of-scope items. It sketches major modules with deep-module opportunities, confirms scope with the user, and produces a strict issue tracker format without brittle code snippets.", "useCase": "A developer initiates a planning session to implement a new feature. They discuss requirements with the agent. The agent synthesizes this conversation, explores the current codebase architecture, and identifies the deep modules needed. It then generates a highly detailed PRD, formatting it as a structured issue with clear testing guidelines, and automatically pushes it to the project's issue tracker with a `ready-for-agent` triage label.", "directives": "1. Do NOT interview the user; solely synthesize known context and codebase state.\n2. Respect domain glossary vocabulary and existing ADRs during synthesis.\n3. Sketch deep modules (small interface, deep implementation).\n4. Follow the strict PRD template: Problem Statement, Solution, User Stories, Implementation Decisions, Testing Decisions, Out of Scope, and Further Notes.\n5. Omit specific file paths or volatile code snippets to prevent fast-rotting documentation.", "prerequisites": [ "write-report", "plan-decompose" ], "derivatives": [], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2507.19113", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "Practical study: LLMs generate Functional Design Specifications and user stories from fragmented requirement sources in an IT consulting deployment. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-06-14T07:09:02Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2507.19113 as A (trustNumber: 85.0)" } ], "cluster": 3, "positions": { "deterministic": [ -0.5578257636305888, 0.24179043954902685, -0.10410422172279059, 0.0007585277350650414 ], "spectral": [ -0.0019835568271828526, -0.011351865256877043, -0.007979589481635537, -0.0023514315405313265 ], "semantic": [ 0.5136452285835948, -0.28908991202513756, -0.1716312631698453, -0.14774756607567013 ] }, "namedMaxLevel": "3★" }, { "id": "prediction-market-analysis", "name": "Prediction Market Analysis", "type": "extra", "description": "Queries prediction-market data, compares market probabilities and price history, and summarizes probabilistic signals for forecasting or decision-support workflows.", "prerequisites": [ "data-analysis", "web-search", "statistical-analysis" ], "derivatives": [], "conditions": "Requires read-only market data sources and clear separation between analysis output and financial advice or trade execution.", "evidence": [ { "class": "B", "source": "https://github.com/NousResearch/hermes-agent/blob/main/skills/research/polymarket/SKILL.md", "evaluator": "openai-codex", "date": "2026-05-06", "notes": "Hermes Agent polymarket skill queries markets, prices, order books, and historical prediction-market data through public read-only APIs. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [ "NousResearch/hermes-agent" ], "status": "provisional", "createdAt": "2026-05-06", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-06-14T07:09:03Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/NousResearch/hermes-agent/blob/main/skills/research/polymarket/SKILL.md as B (trustNumber: 70.0)" } ], "cluster": 4, "positions": { "deterministic": [ 0.5705224657216685, 0.19608265944281167, -0.10943402562748138, 0.00081534422949568 ], "spectral": [ -0.001983556827182885, -0.01135186525687744, -0.00797958948163526, -0.00235143154053228 ], "semantic": [ -0.3461484292024228, 0.3359680818800682, -0.012427055788068958, -0.28830932771315493 ] } }, { "id": "probabilistic-programming", "name": "Probabilistic Programming", "type": "basic", "description": "Specifies Bayesian models and runs inference (MCMC/NUTS, variational) to quantify epistemic and aleatoric uncertainty using PyMC, Stan, Pyro, or NumPyro.", "prerequisites": [], "derivatives": [], "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2509.05877", "evaluator": "unknown", "date": "2026-06-03", "notes": "Uncertainty Quantification in Probabilistic Machine Learning Models: Theory, Methods, and Insights — GP-LVM with Random Fourier Features, epistemic/aleatoric uncertainty (EUSIPCO 2025) (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "A", "source": "https://arxiv.org/abs/2407.04967", "evaluator": "unknown", "date": "2026-06-03", "notes": "posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms — 120 reference models across Stan, PyMC, Pyro, NumPyro (2024) (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/K-Dense-AI/scientific-agent-skills/blob/main/skills/pymc/SKILL.md", "evaluator": "unknown", "date": "2026-06-03", "notes": "SKILL.md: pymc — Bayesian modeling, hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC, probabilistic programming (K-Dense Inc.) (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-06-03", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-06-03T22:48:53Z", "action": "add", "contributor": "unknown", "details": "Added generic skill probabilistic-programming" }, { "timestamp": "2026-06-03T22:48:53Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://arxiv.org/abs/2509.05877" }, { "timestamp": "2026-06-03T22:48:53Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://arxiv.org/abs/2407.04967" }, { "timestamp": "2026-06-03T22:48:53Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/K-Dense-AI/scientific-agent-skills/blob/main/skills/pymc/SKILL.md" }, { "timestamp": "2026-06-14T07:08:52Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2509.05877 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:52Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2407.04967 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:52Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/K-Dense-AI/scientific-agent-skills/blob/main/skills/pymc/SKILL.md as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ -0.4836012693968468, -0.8850483087919798, -0.19293428680096944, 0.0008633531765289193 ], "spectral": [ -0.013109879715781697, -0.13774340875022056, -0.22908932205950833, 1.002768291651096 ], "semantic": [ -0.4836012693968468, -0.8850483087919798, -0.19293428680096944, 0.0008633531765289193 ] } }, { "id": "productivity", "name": "mattpocock-productivity", "type": "extra", "description": "Productivity category suite for Matt Pocock's skills.", "prerequisites": [ "agent-handoff", "context-compression", "grill-me", "tool-creation" ], "derivatives": [], "evidence": [ { "class": "B", "source": "https://github.com/mattpocock/skills", "evaluator": "mbtiongson1", "date": "2026-05-22", "notes": "Consolidated productivity suite for Matt Pocock's skills. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-22", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-21T16:24:53Z", "action": "add", "contributor": "mbtiongson1", "details": "Added generic skill mattpocock-productivity" }, { "timestamp": "2026-05-21T16:31:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-05-21T17:17:21Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added B evidence from https://github.com/mattpocock/skills" }, { "timestamp": "2026-05-21T17:19:20Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 1★ to 4★", "previousValue": "1★", "newValue": "4★" }, { "timestamp": "2026-05-21T17:19:20Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added evidence: https://github.com/mattpocock/skills", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-05-21T19:04:11Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Reclassified from ultimate to extra" }, { "timestamp": "2026-06-01T15:39:57Z", "action": "rename", "contributor": "unknown", "details": "Renamed from mattpocock-productivity to productivity" }, { "timestamp": "2026-06-14T07:09:03Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/mattpocock/skills as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ -0.1472346795786488, 0.5850899465500927, -0.12009363343686279, 0.0009020748866356516 ], "spectral": [ -0.0019835568271826167, -0.011351865256877432, -0.007979589481635772, -0.002351431540530778 ], "semantic": [ -0.1472346795786488, 0.5850899465500927, -0.12009363343686279, 0.0009020748866356516 ] }, "namedMaxLevel": "4★" }, { "id": "project-management", "name": "Project Management", "type": "extra", "description": "Manages issues, tasks, projects, and team workflows through structured project management platforms, handling state transitions and priority levels.", "prerequisites": [ "api-call", "issue-triage" ], "derivatives": [ "founder-mode-orchestration" ], "conditions": "", "evidence": [ { "class": "C", "source": "https://hermes-agent.nousresearch.com/docs/skills", "evaluator": "gemini-cli", "date": "2026-05-17", "notes": "Hermes Skills Hub: Linear integration for issue and project management. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [ "NousResearch/hermes-agent" ], "status": "provisional", "createdAt": "2026-05-17", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-17T13:00:26Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-06-14T07:09:03Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://hermes-agent.nousresearch.com/docs/skills as B (trustNumber: 70.0)" } ], "cluster": 5, "positions": { "deterministic": [ 0.4996472878101205, -0.3334813378945515, -0.1254234373415536, 0.0009311224652881866 ], "spectral": [ -0.0019835568271829823, -0.011351865256877368, -0.007979589481635893, -0.002351431540531124 ], "semantic": [ 0.30017521851941414, 0.3514345618559537, -0.2258715902334962, -0.03816420940874643 ] }, "namedMaxLevel": "2★" }, { "id": "prompt-injection-defense", "name": "Prompt Injection Defense", "type": "basic", "description": "Detects and neutralizes adversarial instructions injected into agent context from untrusted external sources (indirect prompt injection), using techniques such as context isolation, hierarchical intent verification, or semantic consistency checks.", "prerequisites": [], "derivatives": [ "skill-security-analysis" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2604.10134", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "PlanGuard (2026) — training-free indirect prompt injection defense; planning-based consistency verification reduces InjecAgent attack success rate from 72.8% to 0%. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/tldrsec/prompt-injection-defenses", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "tldrsec/prompt-injection-defenses (682 stars) — curated, reproducible catalog of defense techniques with implementation references; actively maintained. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 }, { "class": "C", "source": "https://skillsmp.com/api/v1/skills/search?q=prompt-injection-defense", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "SkillsMP top hit: openclaw/prompt-injection-defense (4,419 stars) — 'Harden agent sessions against prompt injection from untrusted content'; references CaMeL benchmark. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-06-14T07:08:53Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2604.10134 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:53Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/tldrsec/prompt-injection-defenses as B (trustNumber: 70.0)" }, { "timestamp": "2026-06-14T07:08:53Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://skillsmp.com/api/v1/skills/search?q=prompt-injection-defense as B (trustNumber: 70.0)" } ], "cluster": 3, "positions": { "deterministic": [ -0.9915913883835016, -0.1556285286357939, -0.21958330632442322, 0.0009502056786824808 ], "spectral": [ -0.0019835568271822173, -0.011351865256876932, -0.007979589481636169, -0.0023514315405313265 ], "semantic": [ 0.22215799855273957, -0.5105126070797522, 0.127261609941162, -0.10586744351884719 ] } }, { "id": "prompt-optimization", "name": "Prompt Optimization", "type": "extra", "description": "Automatically improves prompt instructions through iterative compilation, treating prompts as programs that can be optimized against a metric using LLM-driven feedback loops.", "prerequisites": [ "evaluate-output", "generate-text" ], "derivatives": [ "registry-curation", "founder-mode-orchestration" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2310.03714", "evaluator": "mbtiongson1", "date": "2026-04-29", "notes": "Khattab et al. (2023) — DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines; automated prompt tuning matches or exceeds hand-crafted prompts on GSM8K, HotPotQA, and FEVER. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/stanfordnlp/dspy", "evaluator": "mbtiongson1", "date": "2026-04-29", "notes": "DSPy — Stanford NLP library for programmable LM pipelines; 18k+ GitHub stars, supports multiple optimizers (BootstrapFewShot, MIPRO, COPRO) across any LM. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-29", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-06-14T07:09:03Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2310.03714 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:03Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/stanfordnlp/dspy as B (trustNumber: 70.0)" } ], "cluster": 6, "positions": { "deterministic": [ 0.37213314293700356, 0.4683489863823193, -0.13608304515093497, 0.0009591338536583703 ], "spectral": [ -0.0019835568271826215, -0.011351865256877765, -0.007979589481635893, -0.002351431540531507 ], "semantic": [ 0.44878726314885853, -0.4084039978662056, -0.19285747481028595, -0.03951189309544923 ] }, "namedMaxLevel": "4★" }, { "id": "protein-structure-analysis", "name": "Protein Structure Analysis", "type": "basic", "description": "Analyzes, searches, and aligns three-dimensional macromolecular structures using structural databases, alignment search algorithms (e.g. Foldseek, PDB search), or molecular modeling tools.", "prerequisites": [], "derivatives": [], "evidence": [ { "class": "B", "source": "https://github.com/google-deepmind/science-skills", "evaluator": "unknown", "date": "2026-05-23", "notes": "Foundational canonical generic skill for Protein Structure Analysis. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-23", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-22T20:22:11Z", "action": "add", "contributor": "unknown", "details": "Added generic skill protein-structure-analysis" }, { "timestamp": "2026-05-22T20:22:11Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills" }, { "timestamp": "2026-05-22T20:22:18Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/pdb_database/SKILL.md" }, { "timestamp": "2026-05-22T20:22:19Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/foldseek_structural_search/SKILL.md" }, { "timestamp": "2026-05-22T20:28:53Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-06-14T07:08:53Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/google-deepmind/science-skills as B (trustNumber: 70.0)" } ], "cluster": 2, "positions": { "deterministic": [ 0.06578399760624595, -0.9956884050454484, -0.23734931934005918, 0.0009578177828427578 ], "spectral": [ -0.0019835568271829576, -0.011351865256878663, -0.007979589481635465, -0.002351431540534915 ], "semantic": [ -0.577291140117672, 0.6381362199625098, -0.2773399423639744, 0.07671149109300937 ] } }, { "id": "proteomic-data-retrieval", "name": "Proteomic Data Retrieval", "type": "basic", "description": "Queries and retrieves amino acid sequences, protein families, functional domains, tissue distribution, and protein-protein interactions from proteomic repositories (e.g. UniProt, InterPro, Human Protein Atlas, STRING).", "prerequisites": [], "derivatives": [], "evidence": [ { "class": "B", "source": "https://github.com/google-deepmind/science-skills", "evaluator": "unknown", "date": "2026-05-23", "notes": "Foundational canonical generic skill for Proteomic Data Retrieval. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-23", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-22T20:22:08Z", "action": "add", "contributor": "unknown", "details": "Added generic skill proteomic-data-retrieval" }, { "timestamp": "2026-05-22T20:22:09Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills" }, { "timestamp": "2026-05-22T20:22:30Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/uniprot_database/SKILL.md" }, { "timestamp": "2026-05-22T20:22:31Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/interpro_database/SKILL.md" }, { "timestamp": "2026-05-22T20:22:32Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/human_protein_atlas_database/SKILL.md" }, { "timestamp": "2026-05-22T20:22:33Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/string_database/SKILL.md" }, { "timestamp": "2026-05-22T20:28:53Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-06-14T07:08:53Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/google-deepmind/science-skills as B (trustNumber: 70.0)" } ], "cluster": 2, "positions": { "deterministic": [ -0.722727001408474, 0.6861287405440867, -0.24623232584787696, 0.0009462706159801981 ], "spectral": [ -0.001983556827183439, -0.011351865256879543, -0.007979589481634285, -0.0023514315405330447 ], "semantic": [ -0.7869886225370482, 0.6101381723448648, -0.1851415545754639, -0.01752829669046236 ] } }, { "id": "prototype", "name": "prototype", "type": "extra", "description": "Building throwaway prototypes to answer specific design or logic questions.", "prerequisites": [ "code-generation", "code-execution" ], "derivatives": [], "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-22", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-21T16:23:11Z", "action": "add", "contributor": "mbtiongson1", "details": "Added generic skill prototype" }, { "timestamp": "2026-05-21T16:31:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-05-21T17:15:41Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added B evidence from https://github.com/mattpocock/skills/blob/main/skills/engineering/prototype/SKILL.md" }, { "timestamp": "2026-05-21T17:19:20Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 1★ to 3★", "previousValue": "1★", "newValue": "3★" }, { "timestamp": "2026-05-21T17:19:20Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added evidence: https://github.com/mattpocock/skills/blob/main/skills/engineering/prototype/SKILL.md", "previousValue": null, "newValue": "3★" } ], "cluster": 3, "positions": { "deterministic": [ 0.5937368769616489, -0.012062102879197971, -0.15207245686500723, 0.0009246077285449958 ], "spectral": [ -0.0019835568271827243, -0.011351865256877288, -0.007979589481635786, -0.0023514315405312857 ], "semantic": [ 0.18871253118232809, -0.3824495553868272, -0.07413190646372964, 0.18361784654887797 ] }, "namedMaxLevel": "2★" }, { "id": "question-answer", "name": "Question Answer", "type": "basic", "description": "Produces accurate, context-grounded answers to natural-language questions, handling unanswerable cases.", "prerequisites": [], "derivatives": [ "conversational-agent", "multimodal-reasoning", "voice-agent", "founder-mode-orchestration", "brainstorming" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/1806.03822", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "SQuAD 2.0 — reading comprehension benchmark with 150K questions; modern LLMs exceed human F1 (90.9), providing rigorous reproducible evaluation. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/gaia-research/gaia-skill-tree/blob/main/registry/named/garrytan/office-hours.md", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "Garry Tan /office-hours -- Q&A skill grounded in specific document sets and founder context. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 0★ (provisional)", "previousValue": null, "newValue": "0★" }, { "timestamp": "2026-05-19T22:44:52Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 0★ to 4★", "previousValue": "0★", "newValue": "4★" }, { "timestamp": "2026-05-19T22:44:52Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added evidence: https://github.com/gaia-research/gaia-skill-tree/blob/main/registry/named/garrytan/office-hours.md", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-06-14T07:08:53Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/1806.03822 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:53Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/gaia-research/gaia-skill-tree/blob/main/registry/named/garrytan/office-hours.md as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ -0.7455072453333288, -0.6553114185091392, -0.26399833886351287, 0.0008930455689476054 ], "spectral": [ -0.0019835568271825165, -0.011351865256877215, -0.007979589481635711, -0.0023514315405311296 ], "semantic": [ -0.25698618047186084, -0.6999273648524846, 0.07826555128300186, -0.1776359319108991 ] }, "namedMaxLevel": "3★" }, { "id": "rag-pipeline", "name": "RAG Pipeline", "type": "extra", "description": "End-to-end retrieval-augmented generation combining document chunking, embedding, retrieval, and relevance scoring.", "prerequisites": [ "retrieve", "chunk-document", "embed-text", "score-relevance", "tokenize", "rank" ], "derivatives": [], "conditions": "", "evidence": [ { "class": "A", "source": "https://aclanthology.org/2024.eacl-demo.16/", "evaluator": "rico-favor", "date": "2026-04-29", "notes": "RAGAS peer-reviewed demo paper defines reproducible metrics for retrieval-augmented generation, including context relevance, faithfulness, and answer relevance; these directly evaluate known RAG failure modes such as irrelevant retrieval and unfaithful generation. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/vibrantlabsai/ragas", "evaluator": "rico-favor", "date": "2026-04-29", "notes": "RAGAS open-source implementation provides a reproducible evaluation toolkit for RAG pipelines. Notes: RAG pipelines can fail when retrieval misses relevant chunks, ambiguous queries retrieve misleading context, or generated answers drift from retrieved evidence. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-06-14T07:09:03Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://aclanthology.org/2024.eacl-demo.16/ as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:03Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/vibrantlabsai/ragas as B (trustNumber: 70.0)" } ], "cluster": 2, "positions": { "deterministic": [ 0.06133840906502924, 0.5891749550343989, -0.16273206467438872, 0.0008518994958536596 ], "spectral": [ -0.0019835568271828015, -0.011351865256876773, -0.007979589481635227, -0.00235143154053186 ], "semantic": [ -0.7500141814451412, -0.07923116709372012, 0.0783573313638431, 0.04430427254897356 ] } }, { "id": "rank", "name": "Rank", "type": "basic", "description": "Orders a set of candidate items by relevance, quality, or fitness for a given objective.", "prerequisites": [], "derivatives": [ "rag-pipeline" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-02", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-05-25T04:25:34Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 1★ to 0★" }, { "timestamp": "2026-05-25T04:44:23Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 1★ to 0★", "previousValue": "1★", "newValue": "0★" }, { "timestamp": "2026-06-02T23:45:12Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/gaia-registry/gaia/blob/main/docs/evidence/rank.md" } ], "cluster": 4, "positions": { "deterministic": [ 0.5824120444789681, -0.7943404416174707, -0.28176435187914844, 0.0008015806272244319 ], "spectral": [ -0.001983556827182591, -0.011351865256877028, -0.007979589481635118, -0.0023514315405321817 ], "semantic": [ -0.42013417253052154, 0.07487476795047274, 0.08850048897645607, -0.5593037837362277 ] } }, { "id": "re-act-reasoning", "name": "ReAct Reasoning", "type": "extra", "description": "Interleaves free-form reasoning traces with discrete tool actions in a single loop, enabling agents to plan, act, observe, and update beliefs step-by-step.", "prerequisites": [ "plan-decompose", "tool-use" ], "derivatives": [ "plan-and-execute", "autonomous-web-research" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2210.03629", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "ReAct (Yao et al., 2023) — reasoning+acting paradigm; +34% on HotpotQA and +10% on ALFWorld vs chain-of-thought-only baselines. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/ysymyth/ReAct", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "ReAct repo — reproducible prompts and evaluation harness for HotpotQA, FEVER, ALFWorld, and WebShop benchmarks. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-06-14T07:09:03Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2210.03629 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:03Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/ysymyth/ReAct as B (trustNumber: 70.0)" } ], "cluster": 3, "positions": { "deterministic": [ -0.5808197449815938, 0.11363509698661466, -0.17339167248377024, 0.0007425917325620578 ], "spectral": [ -0.001983556827182545, -0.011351865256876821, -0.007979589481635385, -0.0023514315405315208 ], "semantic": [ 0.3178387816294952, -0.24848818709378862, 0.3554123817257657, -0.09502256037138923 ] } }, { "id": "real-time-voice-assistant", "name": "Real-Time Voice Assistant", "type": "extra", "description": "Provides low-latency spoken interactions combining real-time speech I/O, persistent memory, and goal-directed task execution across multi-session conversations.", "prerequisites": [ "voice-agent", "memory-manage", "plan-and-execute" ], "derivatives": [], "conditions": "Requires real-time audio pipeline, <500ms end-to-end latency target, and persistent session store. Minimum 3 Class A/B evidence sources.", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2312.11805", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "AudioPaLM (Google) — unified audio language model supporting real-time spoken dialogue; SOTA on ASR and speech translation, demonstrating end-to-end voice assistant capability. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "A", "source": "https://arxiv.org/abs/2305.11206", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "VoiceBox (Meta AI) — generative speech model with zero-shot TTS; enables real-time voice assistants with <100ms synthesis latency benchmarked on VCTK. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/openai/whisper", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "Whisper + LLM integration demos — open-source real-time voice assistant pipelines combining Whisper STT, LLM reasoning, and TTS with documented latency benchmarks. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "title": "Eternal Herald", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 5★ (provisional)", "previousValue": null, "newValue": "5★" }, { "timestamp": "2026-05-18T15:45:47Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Type adjusted from ultimate to extra", "previousValue": "ultimate", "newValue": "extra" }, { "timestamp": "2026-06-14T07:09:03Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2312.11805 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:03Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2305.11206 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:03Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/openai/whisper as B (trustNumber: 70.0)" } ], "cluster": 4, "positions": { "deterministic": [ 0.5004394112688677, 0.3055844651137394, -0.17872147638846095, 0.0006755222094028678 ], "spectral": [ -0.0019835568271824454, -0.01135186525687663, -0.00797958948163571, -0.002351431540531285 ], "semantic": [ 0.1168926451675268, -0.13117513760903482, 0.6178743287246792, 0.34643182819973406 ] } }, { "id": "reasoning-pattern-bank", "name": "Reasoning Pattern Bank", "type": "extra", "description": "Fuses adaptive pattern learning with persistent vector memory to build a self-improving agent knowledge base across sessions.", "prerequisites": [ "adaptive-pattern-learning", "agent-memory-learning" ], "derivatives": [], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-19", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-19T16:29:16Z", "action": "propose", "contributor": "claude", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" } ], "cluster": 1, "positions": { "deterministic": [ -0.1653434831833112, -0.5638906120429934, -0.18405128029315168, 0.0006010421942520318 ], "spectral": [ -0.0019835568271825282, -0.0113518652568773, -0.007979589481635907, -0.002351431540531233 ], "semantic": [ 0.11205122449988533, -0.08030969311903603, 0.9834701091711165, -0.4862920723631163 ] }, "namedMaxLevel": "4★" }, { "id": "receiving-code-review", "name": "Receiving Code Review", "type": "extra", "description": "Processes code review feedback with technical rigor and verification before implementation, questioning unclear feedback.", "prerequisites": [ "requesting-code-review", "verification-before-completion" ], "derivatives": [ "superpowers" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-18", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-18T14:11:08Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-05-19T13:55:59Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Type adjusted from basic to extra", "previousValue": "basic", "newValue": "extra" } ], "cluster": 6, "positions": { "deterministic": [ -0.2614387969195717, 0.5238179402647882, -0.18938108419784255, 0.0005198958668011158 ], "spectral": [ -0.001983556827183149, -0.01135186525687743, -0.007979589481635406, -0.0023514315405319293 ], "semantic": [ 0.4774870456417107, -0.381784726426704, -0.5925537672503172, -0.25944437362539835 ] }, "namedMaxLevel": "2★" }, { "id": "recursive-self-improvement", "name": "Recursive Self-Improvement", "type": "extra", "description": "Agent iteratively refines its own prompts, tools, or strategies based on performance feedback loops.", "prerequisites": [ "autonomous-debug", "evaluate-output", "plan-and-execute" ], "derivatives": [], "conditions": "Requires extensive multi-system validation before level advancement.", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-01", "version": "0.1.0", "title": "Unbound Sage", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 5★ (provisional)", "previousValue": null, "newValue": "5★" }, { "timestamp": "2026-05-18T09:04:22Z", "action": "demote", "contributor": "jules", "details": "Calibrated/demoted rank from 5★ to 1★", "previousValue": "5★", "newValue": "1★" }, { "timestamp": "2026-05-18T15:45:47Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Type adjusted from ultimate to extra", "previousValue": "ultimate", "newValue": "extra" } ], "cluster": 3, "positions": { "deterministic": [ 0.5417365839048924, -0.21112867385739997, -0.19471088810253326, 0.0004328940143306025 ], "spectral": [ -0.001983556827182728, -0.011351865256876882, -0.00797958948163571, -0.0023514315405314895 ], "semantic": [ 0.6264922552007761, -0.2698344715387557, 0.40651247999283324, -0.4172587871415219 ] } }, { "id": "refactor-code", "name": "Refactor Code", "type": "basic", "description": "Restructures existing source code to improve readability, maintainability, or performance without changing observable behavior.", "prerequisites": [], "derivatives": [ "full-stack-developer" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2310.06770", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "SWE-bench — 2294 real GitHub issues benchmark; agents that resolve issues must safely refactor code while passing existing test suites. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-06-14T07:08:53Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2310.06770 as A (trustNumber: 85.0)" } ], "cluster": 6, "positions": { "deterministic": [ -0.9046343177956921, -0.35256892955056557, -0.33506239092605583, 0.00034090593059138706 ], "spectral": [ -0.001983556827182719, -0.011351865256877236, -0.007979589481635747, -0.002351431540531432 ], "semantic": [ 0.2700754324210586, -0.19114777705916716, -0.2174306462642801, -0.09666860545050128 ] }, "namedMaxLevel": "3★" }, { "id": "registry-curation", "name": "Registry Curation", "type": "extra", "description": "Systematically discovers, evaluates, and ingests new skill definitions into a structured skill registry: researching capabilities, sourcing reproducible evidence, scripting graph updates, validating schema and DAG integrity, and publishing via pull request.", "prerequisites": [ "research", "code-generation", "code-execution" ], "derivatives": [ "registry-health-scan" ], "conditions": "Requires write access to the canonical graph and a passing validation suite.", "evidence": [ { "class": "B", "source": "https://github.com/gaia-research/gaia-skill-tree/pull/2", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "Reproducible demonstration: Claude Code agent researched 30 popular AI skills, sourced 22 peer-reviewed papers, generated gaia.json via script, passed all 6 validator checks, and submitted PR — full inputs/outputs archived in the PR diff. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 }, { "class": "B", "source": "https://github.com/gaia-research/gaia-skill-tree", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "Batch 2 curation: 11 skills added (7 atomic, 3 composite, 1 legendary) with verified Class A/B evidence. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 }, { "class": "B", "source": "https://github.com/gaia-research/gaia-skill-tree", "evaluator": "mbtiongson1", "date": "2026-04-29", "notes": "Batch 3 curation: 5 skills added (2 atomic, 3 composite) — self-consistency, few-shot-learning, tree-of-thought, prompt-optimization, tool-creation. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 }, { "class": "B", "source": "https://github.com/gaia-research/gaia-skill-tree", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "Batch 4 curation: 6 skills added (4 atomic, 2 composite) -- optical-character-recognition, object-detection, code-explain, reward-modeling, grounding, multi-agent-debate. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 }, { "class": "B", "source": "https://github.com/gaia-research/gaia-skill-tree", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "Batch 5 curation: 5 skills added (2 atomic, 3 composite) -- statistical-analysis, scientific-visualization, literature-review, scientific-writing, ml-pipeline. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-06-14T07:09:04Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/gaia-research/gaia-skill-tree/pull/2 as B (trustNumber: 70.0)" }, { "timestamp": "2026-06-14T07:09:04Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/gaia-research/gaia-skill-tree as B (trustNumber: 70.0)" }, { "timestamp": "2026-06-14T07:09:04Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/gaia-research/gaia-skill-tree as B (trustNumber: 70.0)" }, { "timestamp": "2026-06-14T07:09:04Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/gaia-research/gaia-skill-tree as B (trustNumber: 70.0)" }, { "timestamp": "2026-06-14T07:09:04Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/gaia-research/gaia-skill-tree as B (trustNumber: 70.0)" } ], "cluster": 3, "positions": { "deterministic": [ 0.2537634605354273, 0.5194885443876993, -0.20537049591191456, 0.00024485073010897405 ], "spectral": [ -0.0019835568271828192, -0.011351865256877362, -0.007979589481635511, -0.0023514315405316387 ], "semantic": [ 0.14083861577520734, 0.11582451238891732, -0.16001410595009893, -0.46845424138074715 ] } }, { "id": "registry-entry-audit", "name": "Gaia Audit", "type": "extra", "description": "Reviews one Gaia skill, named skill, or real-skill catalog item against current evidence, source URLs, taxonomy mapping, promotion status, and demotion criteria, then proposes the smallest source-of-truth correction. Implements a sophisticated 7-phase audit discipline including evidence re-verification, demotion checks, and automatic asset regeneration.", "prerequisites": [ "retrieve", "cite-sources", "evaluate-output" ], "derivatives": [ "registry-health-scan" ], "conditions": "Requires a specific Gaia skill ID, named skill ID, or real-skill catalog item plus access to the registry source files and current public evidence sources.", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-03", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-05-19T22:44:52Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 2★ to 4★", "previousValue": "2★", "newValue": "4★" }, { "timestamp": "2026-05-19T22:44:52Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added evidence: https://github.com/gaia-research/gaia-skill-tree/blob/main/.agents/skills/gaia-audit/skill.md", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-05-29T18:12:02Z", "action": "rename", "contributor": "unknown", "details": "Renamed from gaia-audit to registry-entry-audit" } ], "cluster": 0, "positions": { "deterministic": [ 0.16002908731473794, -0.5547300637353418, -0.2107002998166054, 0.00014568816469495588 ], "spectral": [ -0.0019835568271832265, -0.011351865256877557, -0.007979589481635569, -0.0023514315405314674 ], "semantic": [ 0.16002908731473794, -0.5547300637353418, -0.2107002998166054, 0.00014568816469495588 ] }, "namedMaxLevel": "2★" }, { "id": "registry-health-scan", "name": "Gaia Meta Audit", "type": "extra", "description": "Scans Gaia registry and real-skill catalog entries for review candidates whose evidence may be outdated, superseded, overpromoted, unmapped, stale, or insufficient for their current level or named-skill claim.", "prerequisites": [ "registry-entry-audit", "registry-curation", "detect-anomaly" ], "derivatives": [], "conditions": "Requires the current registry, named-skill index, real-skill catalog, and permission to compare against current source URLs or discovery indexes.", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-03", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-05-29T18:12:27Z", "action": "rename", "contributor": "unknown", "details": "Renamed from gaia-meta-audit to registry-health-scan" } ], "cluster": 0, "positions": { "deterministic": [ -0.49422725792664146, 0.29778605115626494, -0.2160301037212961, 4.440903392416152e-05 ], "spectral": [ -0.001983556827183101, -0.011351865256877862, -0.007979589481635444, -0.0023514315405316275 ], "semantic": [ -0.49422725792664146, 0.29778605115626494, -0.2160301037212961, 4.440903392416152e-05 ] }, "namedMaxLevel": "2★" }, { "id": "regulatory-compliance-mapping", "name": "Regulatory Compliance Mapping", "type": "extra", "description": "Cross-references regulatory requirements (GDPR, SOC2, HIPAA) against implementation controls using knowledge-graph-augmented retrieval to detect compliance gaps and drift.", "prerequisites": [ "extract-entities", "knowledge-graph-build", "security-audit" ], "derivatives": [], "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2604.23585", "evaluator": "unknown", "date": "2026-06-03", "notes": "ComplianceNLP: Knowledge-Graph-Augmented RAG for Multi-Framework Regulatory Gap Detection (COLING 2025): knowledge graph of 12,847 provisions across SEC/MiFID II/Basel III; 87.7 F1 gap detection; 90.7% precision at production scale; demonstrates cross-framework drift detection methodology (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "A", "source": "https://arxiv.org/abs/2209.09722", "evaluator": "unknown", "date": "2026-06-03", "notes": "NLP-based Automated Compliance Checking of Data Processing Agreements against GDPR: 89.1% precision / 84.6% accuracy; automated extraction of GDPR compliance requirements and comparison against DPA language (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/dralgorhythm/claude-agentic-framework/blob/main/.claude/skills/security/compliance/SKILL.md", "evaluator": "unknown", "date": "2026-06-03", "notes": "SKILL.md covering GDPR, HIPAA, and SOC2 in a single cross-framework comparison matrix; core requirements checklist, control overlaps, and drift detection guidance across all three frameworks (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-06-03", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-06-03T22:48:54Z", "action": "add", "contributor": "unknown", "details": "Added generic skill regulatory-compliance-mapping" }, { "timestamp": "2026-06-03T22:48:54Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://arxiv.org/abs/2604.23585" }, { "timestamp": "2026-06-03T22:48:54Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://arxiv.org/abs/2209.09722" }, { "timestamp": "2026-06-03T22:48:54Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/dralgorhythm/claude-agentic-framework/blob/main/.claude/skills/security/compliance/SKILL.md" }, { "timestamp": "2026-06-14T07:09:04Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2604.23585 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:04Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2209.09722 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:04Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/dralgorhythm/claude-agentic-framework/blob/main/.claude/skills/security/compliance/SKILL.md as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ 0.5603481330659075, 0.11174369568975881, -0.22135990762598687, -5.797471460717325e-05 ], "spectral": [ -0.001983556827182392, -0.011351865256877368, -0.007979589481635897, -0.002351431540531155 ], "semantic": [ 0.5603481330659075, 0.11174369568975881, -0.22135990762598687, -5.797471460717325e-05 ] } }, { "id": "release-automation", "name": "Release Automation", "type": "extra", "description": "Automate the full software release cycle: determine semantic version bump, update CHANGELOG, commit, create a git tag, and publish a GitHub release with release notes.", "prerequisites": [ "workflow-automation", "code-execution", "generate-text" ], "derivatives": [], "conditions": "Requires write access to the repository and a configured release token.", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-01", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" } ], "cluster": 7, "positions": { "deterministic": [ -0.3396737977944778, -0.461327015598363, -0.22668971153067755, -0.00016044009632729277 ], "spectral": [ -0.0019835568271823517, -0.011351865256876996, -0.007979589481635746, -0.002351431540531692 ], "semantic": [ 0.3661774143915287, 0.3459743411069754, -0.45902264706003215, 0.053656312801093405 ] } }, { "id": "requesting-code-review", "name": "Requesting Code Review", "type": "extra", "description": "Dispatches a code reviewer subagent to catch issues before they cascade, providing isolated context for evaluation.", "prerequisites": [ "code-review-pipeline", "dispatching-parallel-agents" ], "derivatives": [ "superpowers", "receiving-code-review" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-18", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-18T14:11:08Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-05-19T13:55:59Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Type adjusted from basic to extra", "previousValue": "basic", "newValue": "extra" } ], "cluster": 6, "positions": { "deterministic": [ -0.06413934454341311, 0.5653381512533884, -0.23201951543536833, -0.00026196331101260156 ], "spectral": [ -0.0019835568271827702, -0.011351865256877048, -0.00797958948163549, -0.0023514315405312614 ], "semantic": [ 0.3493519218895131, -0.4871329031855594, -0.2934423336202888, -0.46726481236014006 ] }, "namedMaxLevel": "2★" }, { "id": "requirements-analysis", "name": "Requirements Analysis", "type": "basic", "description": "Elicit and structure requirements from stakeholder inputs into formal specifications — user stories, acceptance criteria, and traceability matrices.", "prerequisites": [], "derivatives": [ "writing-plans", "brainstorming" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-01", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" } ], "cluster": 6, "positions": { "deterministic": [ 0.7084858787171542, -0.6233641155844968, -0.3972434364807812, -0.00036152997226107707 ], "spectral": [ -0.0019835568271822463, -0.011351865256876712, -0.0079795894816356, -0.0023514315405310116 ], "semantic": [ 0.24313435821928156, -0.08473033653546348, -0.5308897142129092, -0.18886690056765654 ] } }, { "id": "research", "name": "Research", "type": "extra", "description": "Conducts multi-source information gathering, synthesis, and citation for a given topic.", "prerequisites": [ "web-search", "summarize", "cite-sources" ], "derivatives": [ "autonomous-data-scientist", "ghostwrite", "registry-curation", "scientific-discovery", "literature-review" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-02", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-05-25T04:25:34Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 3★ to 2★" }, { "timestamp": "2026-05-25T04:44:23Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 3★ to 1★", "previousValue": "3★", "newValue": "1★" }, { "timestamp": "2026-06-02T23:45:12Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/gaia-registry/gaia/blob/main/docs/evidence/research.md" } ], "cluster": 5, "positions": { "deterministic": [ -0.5665513607292519, -0.012753429073679365, -0.24267912324474983, -0.0004581452429058887 ], "spectral": [ -0.001983556827182803, -0.011351865256877612, -0.007979589481635449, -0.0023514315405318738 ], "semantic": [ -0.41495351975046296, 0.1510916835161751, -0.056809243313745345, -0.2615992553806954 ] } }, { "id": "retrieve", "name": "Retrieve", "type": "basic", "description": "Fetches relevant documents or passages from an indexed corpus given a query.", "prerequisites": [], "derivatives": [ "registry-entry-audit", "grounding", "rag-pipeline", "wiki-search", "memory-manage" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-02", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-05-25T04:25:34Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 1★ to 0★" }, { "timestamp": "2026-05-25T04:44:23Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 1★ to 0★", "previousValue": "1★", "newValue": "0★" }, { "timestamp": "2026-06-02T23:45:12Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/gaia-registry/gaia/blob/main/docs/evidence/retrieve.md" } ], "cluster": 2, "positions": { "deterministic": [ 0.6750649418948802, 0.6475581808110987, -0.41500944949641705, -0.0005508437750995107 ], "spectral": [ -0.001983556827182863, -0.01135186525687732, -0.007979589481635558, -0.00235143154053155 ], "semantic": [ -1.0, 0.2910651160016145, 0.15972374266304987, -0.15614778292449888 ] } }, { "id": "reward-modeling", "name": "Reward Modeling", "type": "basic", "description": "Learns a scalar reward signal from human preference comparisons between model outputs, enabling reinforcement learning from human feedback (RLHF) to align model behavior with human values.", "prerequisites": [], "derivatives": [ "recursive-self-improvement", "prompt-optimization" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2203.02155", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "InstructGPT (Ouyang et al., 2022) -- RLHF with reward model trained on 33K human comparisons; 1.3B InstructGPT preferred over 175B GPT-3 by 85% of labelers, demonstrating reward modeling as the key alignment primitive. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/huggingface/trl", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "TRL (HuggingFace) -- production RLHF library with reward model training, PPO, DPO, and GRPO support; 10k+ GitHub stars, reproducible training scripts and documented evaluation pipelines. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-06-14T07:08:53Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2203.02155 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:53Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/huggingface/trl as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ -0.06330820067098164, -0.931612288023015, -0.42389245600423486, -0.0006386993557503317 ], "spectral": [ -0.15210154428028802, 1.1063444143613488, -0.14243062575082685, -0.7241581918673514 ], "semantic": [ -0.1509334461865987, -0.206065803052884, 0.4575045350133393, -0.15546296078258448 ] } }, { "id": "route-intent", "name": "Route Intent", "type": "basic", "description": "Classifies user intent and directs execution to the appropriate handler, tool, or sub-agent.", "prerequisites": [], "derivatives": [ "plan-and-execute", "conversational-agent", "vertical-slice-planning" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-02", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-05-25T04:25:35Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 1★ to 0★" }, { "timestamp": "2026-05-25T04:44:23Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 1★ to 0★", "previousValue": "1★", "newValue": "0★" }, { "timestamp": "2026-06-02T23:45:12Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/gaia-registry/gaia/blob/main/docs/evidence/routeIntent.md" } ], "cluster": 3, "positions": { "deterministic": [ -0.5832610796685969, 0.7243771449124756, -0.432775462512053, -0.0007208341609376794 ], "spectral": [ -0.0019835568271825456, -0.01135186525687751, -0.00797958948163553, -0.002351431540531411 ], "semantic": [ 0.24750182266546897, -0.07166035895809462, 0.3852506485939322, -0.00841347143083752 ] } }, { "id": "schema-design", "name": "Schema Design", "type": "basic", "description": "Design database schemas across relational, NoSQL, graph, and time-series stores — entity modelling, normalization, indexing strategies, and migration planning.", "prerequisites": [], "derivatives": [], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-01", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" } ], "cluster": 2, "positions": { "deterministic": [ 0.9120052496598225, -0.14162513111806455, -0.44165846901987066, -0.0007964275268382759 ], "spectral": [ -0.0019835568271817654, -0.011351865256876172, -0.00797958948163547, -0.002351431540531272 ], "semantic": [ -0.355819049850823, 0.6726229240440701, -0.10585273807577265, 0.07838224197257225 ] } }, { "id": "scientific-discovery", "name": "Autonomous Scientific Discovery", "type": "extra", "description": "Autonomously generates novel scientific hypotheses, designs and executes experiments, analyses results, and produces a written report — completing a full research cycle without human intervention.", "prerequisites": [ "computational-biology-workflows", "hypothesis-generate", "math-reason", "research" ], "derivatives": [], "conditions": "Requires laboratory tool access or simulation environment. Minimum 3 Class A/B evidence sources.", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2304.05376", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "ChemCrow (Bran et al., 2023) — autonomous chemistry agent completes synthesis planning and molecular design tasks rated expert-level by human chemists. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "A", "source": "https://arxiv.org/abs/2304.05332", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "Coscientist (Boiko et al., 2023) — autonomously planned and executed real wet-lab chemistry experiments, confirmed by GC-MS analysis. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/SakanaAI/AI-Scientist", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "AI Scientist (Lu et al., 2024) — generates idea, writes code, runs experiments, and produces a full NeurIPS-style paper; 50+ manuscripts auto-generated. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "title": "The Doctor", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 5★ (provisional)", "previousValue": null, "newValue": "5★" }, { "timestamp": "2026-05-18T15:45:47Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Type adjusted from ultimate to extra", "previousValue": "ultimate", "newValue": "extra" }, { "timestamp": "2026-06-14T07:09:04Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2304.05376 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:04Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2304.05332 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:04Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/SakanaAI/AI-Scientist as B (trustNumber: 70.0)" } ], "cluster": 5, "positions": { "deterministic": [ -0.4614750266089277, -0.30698195474062157, -0.26932814276820355, -0.0008647241495278923 ], "spectral": [ -0.0019835568271831952, -0.011351865256878898, -0.007979589481635373, -0.0023514315405325577 ], "semantic": [ -0.1581224857675869, 0.21040048777985354, 0.048084683589686164, -0.38305868610755844 ] } }, { "id": "scientific-visualization", "name": "Scientific Visualization", "type": "basic", "summary": "Creates publication-ready scientific figures and visualizes molecular structures.", "description": "Creates publication-ready scientific figures with multi-panel layouts, statistical annotations, colorblind-safe palettes, and journal-specific formatting (Nature, Science, Cell) using matplotlib, seaborn, and plotly. It also includes visualizing, analyzing, and rendering protein and molecular structures without a hardware-accelerated GUI.", "useCase": "A developer wants to create images of a protein structure, highlight specific binding sites, or perform structural alignments. They would use PyMOL in a headless OSMesa environment to render these images as PNGs, saving the corresponding `.pse` sessions for later inspection in a local GUI.", "directives": "When running PyMOL, always set `PYOPENGL_PLATFORM=osmesa` for software rendering and avoid `cmd.draw()` or `cmd.ray()` with hardware acceleration. Always call `cmd.quit()` at the end of scripts to prevent process hangs, and always save a `.pse` session alongside `.png` outputs.", "prerequisites": [], "derivatives": [ "scientific-writing" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-02", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-05-22T20:19:38Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/pymol/SKILL.md" }, { "timestamp": "2026-05-22T20:22:18Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/pymol/SKILL.md" }, { "timestamp": "2026-05-22T20:28:53Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added evidence: https://github.com/google-deepmind/science-skills/blob/main/skills/pymol/SKILL.md", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-06-02T23:45:13Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/K-Dense-AI/scientific-agent-skills/blob/main/scientific-skills/scientific-visualization/SKILL.md" } ], "cluster": 2, "positions": { "deterministic": [ 0.21645136957932234, 0.8892569029271634, -0.45942448203550684, -0.0009250416317284713 ], "spectral": [ -0.0019835568271830894, -0.011351865256878067, -0.007979589481635444, -0.002351431540531683 ], "semantic": [ -0.2537453077776104, 0.24813905958532903, -0.40684039817319534, 0.5610562746757065 ] } }, { "id": "scientific-writing", "name": "Scientific Writing", "type": "extra", "description": "Composes research manuscripts in IMRAD structure with reporting-guideline compliance (CONSORT, STROBE, PRISMA), citation management, publication-quality figures, and LaTeX/PDF formatting.", "prerequisites": [ "write-report", "cite-sources", "scientific-visualization" ], "derivatives": [], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2405.20477", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "Chamoun et al. (ACL 2024 Findings) — SWIFT: automated focused feedback for scientific writing; multi-component LLM system (planner, investigator, reviewer, controller) rated more specific and helpful than human reviewers on 300 peer-reviewed manuscripts. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-06-02T23:45:13Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/K-Dense-AI/scientific-agent-skills/blob/main/scientific-skills/scientific-writing/SKILL.md" }, { "timestamp": "2026-06-14T07:09:04Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2405.20477 as A (trustNumber: 85.0)" } ], "cluster": 5, "positions": { "deterministic": [ 0.260601888054038, -0.4802144941033618, -0.279987750577585, -0.0009767773010961776 ], "spectral": [ -0.0019835568271830374, -0.011351865256877876, -0.007979589481635381, -0.0023514315405316977 ], "semantic": [ -0.388082647526229, 0.05228693856862671, -0.38510683052362354, -0.1299974969057223 ] } }, { "id": "score-relevance", "name": "Score Relevance", "type": "basic", "description": "Assigns a numerical relevance score to candidate items relative to a query or objective.", "prerequisites": [], "derivatives": [ "rag-pipeline", "agent-eval" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-02", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-05-25T04:25:35Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 1★ to 0★" }, { "timestamp": "2026-05-25T04:44:23Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 1★ to 0★", "previousValue": "1★", "newValue": "0★" }, { "timestamp": "2026-06-02T23:45:13Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/gaia-registry/gaia/blob/main/docs/evidence/scoreRelevance.md" } ], "cluster": 4, "positions": { "deterministic": [ -0.8605217864653196, 0.2920244308340832, -0.47719049505114247, -0.0010194142319242257 ], "spectral": [ -0.0019835568271828075, -0.01135186525687665, -0.007979589481635813, -0.0023514315405311955 ], "semantic": [ -0.5844989124728808, 0.05214702115149505, 0.0064809437066015545, -0.5656970614273507 ] } }, { "id": "search-engine-optimization", "name": "search-engine-optimization", "type": "extra", "description": "Search Engine Optimization", "prerequisites": [ "parse-html", "parse-json" ], "derivatives": [], "evidence": [ { "class": "A", "source": "https://github.com/addyosmani/web-quality-skills", "evaluator": "addyosmani", "date": "2026-05-24", "type": "repo", "trustNumber": 70.0, "notes": "(backfilled — class-to-type migration)" } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-24", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-24T16:03:55Z", "action": "add", "contributor": "unknown", "details": "Added generic skill search-engine-optimization" }, { "timestamp": "2026-05-24T16:06:55Z", "action": "rank_up", "contributor": "unknown", "details": "Calibrated level from None to 2★" }, { "timestamp": "2026-05-24T16:09:12Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://github.com/addyosmani/web-quality-skills" }, { "timestamp": "2026-06-14T07:09:05Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/addyosmani/web-quality-skills as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ 0.49371659150479813, 0.21697334470671364, -0.2906473583869666, -0.0010525264100936754 ], "spectral": [ -0.0019835568271824593, -0.011351865256877867, -0.00797958948163553, -0.0023514315405315763 ], "semantic": [ 0.49371659150479813, 0.21697334470671364, -0.2906473583869666, -0.0010525264100936754 ] } }, { "id": "security-audit", "name": "Security Audit", "type": "extra", "description": "Systematically identify security vulnerabilities, assess attack surface, and produce actionable remediation guidance across code, dependencies, and infrastructure.", "prerequisites": [ "code-review-pipeline", "evaluate-output" ], "derivatives": [ "skill-security-analysis", "founder-mode-orchestration" ], "conditions": "Requires access to the full codebase or diff; output must include severity classification and reproduction steps.", "evidence": [ { "class": "C", "source": "https://github.com/microsoft/PromptKit", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "microsoft/PromptKit (42 stars) — composable prompt components for security audits, code review, and bug investigation with any LLM. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-06-14T07:09:05Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/microsoft/PromptKit as B (trustNumber: 70.0)" } ], "cluster": 6, "positions": { "deterministic": [ -0.21952686936883073, -0.4929411266232437, -0.29597716229165716, -0.0010757829896656916 ], "spectral": [ -0.0019835568271824597, -0.011351865256877399, -0.007979589481635886, -0.0023514315405312406 ], "semantic": [ 0.2855937982986978, 0.04390931701040155, -0.5391749553285241, -0.42196072025307096 ] }, "namedMaxLevel": "3★" }, { "id": "self-consistency", "name": "Self-Consistency", "type": "basic", "description": "Samples multiple independent reasoning paths for the same problem and selects the answer by majority vote, improving robustness without any additional training.", "prerequisites": [], "derivatives": [ "tree-of-thought", "re-act-reasoning" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2203.11171", "evaluator": "mbtiongson1", "date": "2026-04-29", "notes": "Wang et al. (2022) — Self-Consistency Improves Chain of Thought Reasoning in Language Models; +17.9% on GSM8K and +11.0% on MATH over greedy CoT decoding. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-29", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-05-14T20:30:46Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Type adjusted from basic to unique", "previousValue": "basic", "newValue": "unique" }, { "timestamp": "2026-05-25T03:44:42Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Reclassified from unique to basic" }, { "timestamp": "2026-05-25T03:45:22Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Type adjusted from unique to basic", "previousValue": "unique", "newValue": "basic" }, { "timestamp": "2026-05-25T03:45:37Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 4★ to 2★" }, { "timestamp": "2026-05-25T03:46:10Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 4★ to 2★", "previousValue": "4★", "newValue": "2★" }, { "timestamp": "2026-06-14T07:08:53Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2203.11171 as A (trustNumber: 85.0)" } ], "cluster": 0, "positions": { "deterministic": [ -0.28759665193287426, 0.8449789222698356, -0.5038395145745959, -0.0010889515985847919 ], "spectral": [ 0.386613281789596, -0.4977642824367801, -0.11997989657403157, 0.7707959261087161 ], "semantic": [ -0.002398505189789702, -0.3682835802230499, 0.3983089225131858, -0.5416535040361303 ] }, "namedMaxLevel": "4★" }, { "id": "self-critique", "name": "Self-Critique", "type": "basic", "description": "Iteratively evaluates and refines its own outputs using self-generated feedback, improving quality without external supervision.", "prerequisites": [], "derivatives": [ "multi-agent-debate", "recursive-self-improvement", "verification-before-completion" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2303.17651", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "Self-Refine (Madaan et al., 2023) — iterative self-feedback loop; +20% on code generation and +13% on math reasoning vs single-pass generation. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/madaan/self-refine", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "Self-Refine repo — reproducible demos across 7 tasks (code, math, dialogue, sentiment reversal) with evaluation scripts. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-06-14T07:08:54Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2303.17651 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:54Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/madaan/self-refine as B (trustNumber: 70.0)" } ], "cluster": 6, "positions": { "deterministic": [ 0.7751545145319495, -0.4284549286906142, -0.5127225210824143, -0.0010919006604636207 ], "spectral": [ -0.0019835568271829285, -0.011351865256877706, -0.007979589481635472, -0.0023514315405319453 ], "semantic": [ 0.05752082281943282, -0.7272740471527332, -0.18411201020205484, -0.32380403496520477 ] } }, { "id": "semantic-cache", "name": "Semantic Cache", "type": "basic", "description": "Stores LLM responses keyed by embedding similarity so that semantically equivalent queries are served from cache, reducing inference latency and token cost without sacrificing answer quality.", "prerequisites": [], "derivatives": [], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2604.20021", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "Continuous Semantic Caching for Low-Cost LLM Serving (2026) -- first rigorous theoretical framework for semantic LLM caching in continuous query space using kernel ridge regression. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/vcache-project/vCache", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "vCache -- reliable and efficient semantic prompt caching; active research prototype with published benchmarks. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-05-14T20:30:46Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Type adjusted from basic to unique", "previousValue": "basic", "newValue": "unique" }, { "timestamp": "2026-06-04T20:35:01Z", "action": "type_change", "contributor": "unknown", "details": "Reclassified from unique to basic" }, { "timestamp": "2026-06-14T07:08:54Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2604.20021 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:54Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/vcache-project/vCache as B (trustNumber: 70.0)" } ], "cluster": 4, "positions": { "deterministic": [ -0.8591400361843121, -0.208571105605685, -0.521605527590232, -0.0010846007092507148 ], "spectral": [ 0.7834148477058065, -0.5375934054010589, -0.9247661719368792, -0.7078427877763637 ], "semantic": [ -0.4160851306806, 0.079953972169695, 0.47244410336110826, -0.13662228143149158 ] }, "namedMaxLevel": "2★" }, { "id": "sentiment-analysis", "name": "Sentiment Analysis", "type": "basic", "description": "Classifies the affective polarity (positive / negative / neutral, or fine-grained) of user-generated text. Covers pipelines from raw noisy input through preprocessing, inference (Transformer, Lexicon, or LLM), and output normalisation.", "prerequisites": [], "derivatives": [ "content-moderation", "translation-pipeline" ], "conditions": "Macro-F1 >= 0.88 (Transformer) or 0.72 (Lexicon) on SST-2 or equivalent benchmark.", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/1810.04805", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "BERT paper — achieves SOTA on SST-2 sentiment benchmark (93.5% accuracy), foundational evidence for LLM-based sentiment analysis. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0, "grade": "S" }, { "class": "A", "source": "https://arxiv.org/abs/2202.03829", "evaluator": "pexp13", "date": "2026-05-17", "notes": "TimeLMs: Diachronic Language Models from Twitter (Barbieri et al., 2022) — 366 citations; Twitter-RoBERTa SOTA baseline for social-media SA.", "type": "arxiv", "trustNumber": 85.0, "citations": 366, "grade": "A" }, { "class": "B", "source": "https://aclanthology.org/S17-2088/", "evaluator": "pexp13", "date": "2026-05-17", "notes": "SemEval-2017 Task 4: Sentiment Analysis in Twitter — 905 citations (ACL Anthology); establishes macro-F1 as primary metric for sentiment analysis.", "type": "arxiv", "trustNumber": 85.0, "reviewers": 3, "grade": "S", "citations": 905 }, { "class": "B", "source": "https://ojs.aaai.org/index.php/ICWSM/article/view/14550", "evaluator": "pexp13", "date": "2026-05-17", "notes": "VADER (Hutto & Gilbert, 2014) — 5755 citations (AAAI/ICWSM); canonical lexicon-based SA baseline; validated on social media corpora.", "type": "arxiv", "trustNumber": 85.0, "reviewers": 3, "grade": "S", "citations": 5755 }, { "class": "B", "source": "https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment", "evaluator": "pexp13", "date": "2026-05-17", "notes": "NLPTown BERT multilingual - 5-class (star-rating) model fine-tuned on product reviews; direct UGC applicability. (backfilled — class-to-type migration)", "type": "repo-own", "trustNumber": 70.0 }, { "class": "B", "source": "https://github.com/declare-lab/conv-emotion", "evaluator": "pexp13", "date": "2026-05-17", "notes": "declare-lab/conv-emotion - Sentiment/emotion recognition in conversations (MELD, IEMOCAP); relevant for threaded comment SA. (backfilled — class-to-type migration)", "type": "repo-own", "trustNumber": 70.0, "grade": "B" }, { "class": "C", "source": "https://gluebenchmark.com/tasks", "evaluator": "pexp13", "date": "2026-05-17", "notes": "SST-2 (GLUE benchmark) - Standard binary SA benchmark for cross-model comparison. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "C", "source": "https://arxiv.org/abs/2203.01054", "evaluator": "pexp13", "date": "2026-05-17", "notes": "A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges (Zhang et al., 2022) — 419 citations; covers ABSA methods for structured review analysis.", "type": "arxiv", "trustNumber": 85.0, "citations": 419, "grade": "A" }, { "class": "C", "source": "https://github.com/declare-lab/awesome-sentiment-analysis", "evaluator": "pexp13", "date": "2026-05-17", "notes": "Curated reading list by DeCLaRe Lab; anchored by Poria et al. (2020) IEEE TAC survey on open challenges. (backfilled — class-to-type migration)", "type": "repo-own", "trustNumber": 70.0, "grade": "C" } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-07-05", "version": "1.0.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 0★ (provisional)", "previousValue": null, "newValue": "0★" }, { "timestamp": "2026-05-17T11:00:41Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 0★ to 3★", "previousValue": "0★", "newValue": "3★" }, { "timestamp": "2026-05-17T11:00:41Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added evidence: https://ojs.aaai.org/index.php/ICWSM/article/view/14550, https://github.com/declare-lab/conv-emotion and 6 more", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-06-14T07:08:54Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/1810.04805 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:54Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2202.03829 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:54Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://aclanthology.org/S17-2088/ as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:54Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://ojs.aaai.org/index.php/ICWSM/article/view/14550 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:54Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment as B (trustNumber: 70.0)" }, { "timestamp": "2026-06-14T07:08:54Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/declare-lab/conv-emotion as B (trustNumber: 70.0)" }, { "timestamp": "2026-06-14T07:08:54Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://gluebenchmark.com/tasks as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:55Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2203.01054 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:55Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/declare-lab/awesome-sentiment-analysis as B (trustNumber: 70.0)" }, { "timestamp": "2026-07-04T18:33:27Z", "action": "evidence_graded", "contributor": "unknown", "details": "Updated evidence #0 from https://arxiv.org/abs/1810.04805; changed citations, grade, notes (grade: ungraded → S)" }, { "timestamp": "2026-07-04T18:33:33Z", "action": "evidence_graded", "contributor": "unknown", "details": "Updated evidence #1 from https://arxiv.org/abs/2202.03829; changed citations, grade, notes (grade: ungraded → A)" }, { "timestamp": "2026-07-04T18:33:38Z", "action": "evidence_graded", "contributor": "unknown", "details": "Updated evidence #2 from https://aclanthology.org/S17-2088/; changed grade, notes, reviewers, type (grade: ungraded → S)" }, { "timestamp": "2026-07-04T18:33:44Z", "action": "evidence_graded", "contributor": "unknown", "details": "Updated evidence #3 from https://ojs.aaai.org/index.php/ICWSM/article/view/14550; changed grade, notes, reviewers, type (grade: ungraded → S)" }, { "timestamp": "2026-07-04T18:34:01Z", "action": "evidence_graded", "contributor": "unknown", "details": "Updated evidence #2 metadata from https://aclanthology.org/S17-2088/; changed citations, notes, type" }, { "timestamp": "2026-07-04T18:34:06Z", "action": "evidence_graded", "contributor": "unknown", "details": "Updated evidence #3 metadata from https://ojs.aaai.org/index.php/ICWSM/article/view/14550; changed citations, notes, type" }, { "timestamp": "2026-07-04T18:34:12Z", "action": "evidence_graded", "contributor": "unknown", "details": "Updated evidence #7 from https://arxiv.org/abs/2203.01054; changed citations, grade, notes (grade: ungraded → A)" }, { "timestamp": "2026-07-04T18:34:25Z", "action": "evidence_graded", "contributor": "unknown", "details": "Updated evidence #5 from https://github.com/declare-lab/conv-emotion; changed commits, contributors, grade, notes, stars, type (grade: ungraded → B)" }, { "timestamp": "2026-07-04T18:34:31Z", "action": "evidence_graded", "contributor": "unknown", "details": "Updated evidence #8 from https://github.com/declare-lab/awesome-sentiment-analysis; changed commits, contributors, grade, notes, stars, type (grade: ungraded → C)" }, { "timestamp": "2026-07-04T18:34:47Z", "action": "evidence_graded", "contributor": "unknown", "details": "Updated evidence #4 metadata from https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment; changed notes, stars, type" } ], "cluster": 0, "positions": { "deterministic": [ 0.4864218829302358, 0.7275784818592457, -0.5304885340980497, -0.0010671246836455508 ], "spectral": [ -0.001983556827182578, -0.011351865256877567, -0.007979589481635498, -0.0023514315405323183 ], "semantic": [ -0.4807728345166131, -0.36189959033096913, -0.09599343915631088, 0.025989276773711663 ] }, "overallTrustGrade": "S" }, { "id": "sequential-agent-pipeline", "name": "Sequential Agent Pipeline", "type": "basic", "description": "Chains agent outputs sequentially so each step's result feeds the next, enabling multi-stage data transformation and coordinated processing.", "prerequisites": [], "derivatives": [], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-19", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-19T16:29:16Z", "action": "propose", "contributor": "claude", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" } ], "cluster": 3, "positions": { "deterministic": [ 0.12876106053003408, -0.8617888800605161, -0.539371540605868, -0.0010396471983191687 ], "spectral": [ -1.413107995649836, -0.22898235954062413, 0.22408752419387637, -0.03009540162257026 ], "semantic": [ 0.421135631313795, 0.17849903661486496, 0.42625734481408145, 0.2645624781888273 ] }, "namedMaxLevel": "2★" }, { "id": "skill-authoring", "name": "Skill Authoring", "type": "extra", "description": "Designs, writes, packages, and iteratively improves reusable agent skill directories with metadata, progressive instructions, supporting assets, and measurable trigger criteria.", "prerequisites": [ "generate-text", "structured-output", "code-generation" ], "derivatives": [ "skill-performance-benchmarking", "registry-curation", "founder-mode-orchestration" ], "conditions": "Requires a target agent skill format and a repeatable evaluation loop for trigger accuracy and task success.", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2602.08004", "evaluator": "codex", "date": "2026-05-10", "notes": "Agent Skills data-driven analysis characterizes SKILL.md packages as an emerging infrastructure layer and quantifies common design, reuse, and safety patterns. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/anthropics/skills/blob/main/skills/skill-creator/SKILL.md", "evaluator": "codex", "date": "2026-05-10", "notes": "Anthropic skill-creator provides a reproducible workflow for creating, editing, evaluating, benchmarking, and optimizing agent skills. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [ "Claude" ], "status": "provisional", "createdAt": "2026-05-10", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-05-22T20:20:42Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/workflow_skill_creator/SKILL.md" }, { "timestamp": "2026-05-22T20:22:43Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/google-deepmind/science-skills/blob/main/skills/workflow_skill_creator/SKILL.md" }, { "timestamp": "2026-05-22T20:28:53Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added evidence: https://github.com/google-deepmind/science-skills/blob/main/skills/workflow_skill_creator/SKILL.md", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-06-14T07:09:05Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2602.08004 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:05Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/anthropics/skills/blob/main/skills/skill-creator/SKILL.md as B (trustNumber: 70.0)" } ], "cluster": 3, "positions": { "deterministic": [ -0.4063744732508553, 0.32553575547904556, -0.3279559857198017, -0.0010024427992221022 ], "spectral": [ -0.001983556827182383, -0.011351865256877437, -0.007979589481635527, -0.002351431540531522 ], "semantic": [ 0.44289659921000046, -0.05365021221514565, 0.34284368464920073, -0.28784015774574273 ] }, "namedMaxLevel": "3★" }, { "id": "skill-discovery", "name": "Skill Discovery", "type": "basic", "description": "Searches a skill or tool registry, ranks results by relevance and install count, and surfaces candidates for the agent to adopt or invoke.", "prerequisites": [], "derivatives": [ "skill-performance-benchmarking", "skill-security-analysis" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 0★ (provisional)", "previousValue": null, "newValue": "0★" }, { "timestamp": "2026-05-19T22:44:52Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 0★ to 3★", "previousValue": "0★", "newValue": "3★" } ], "cluster": 3, "positions": { "deterministic": [ 0.8561855098958376, 0.053829039156781604, -0.5571375536215035, -0.0009558832204119877 ], "spectral": [ -0.0019835568271824675, -0.01135186525687751, -0.00797958948163606, -0.00235143154053102 ], "semantic": [ 0.12005991312165212, 0.26522505302601984, 0.2688101947896522, -0.6091639311054803 ] }, "namedMaxLevel": "2★" }, { "id": "skill-mastery", "name": "mattpocock-skills", "type": "ultimate", "description": "Ultimate capstone suite for Matt Pocock's skills.", "prerequisites": [ "engineering-discipline", "productivity", "personal", "tool-creation", "ubiquitous-language" ], "derivatives": [], "evidence": [ { "class": "B", "source": "https://github.com/mattpocock/skills", "evaluator": "mbtiongson1", "date": "2026-05-22", "notes": "The ultimate Matt Pocock skill suite capstone. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 }, { "class": "A", "source": "https://github.com/gaia-research/gaia-skill-tree/pull/352", "evaluator": "mbtiongson1", "date": "2026-05-22", "notes": "Peer-reviewed ultimate capstone suite consolidation. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 }, { "class": "A", "source": "https://github.com/mattpocock/skills", "evaluator": "mbtiongson1", "date": "2026-05-25", "notes": "Matt Pocock complete agent discipline library with 100k+ GitHub stars across the ecosystem. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-22", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-21T16:25:28Z", "action": "add", "contributor": "mbtiongson1", "details": "Added generic skill mattpocock-skills" }, { "timestamp": "2026-05-21T16:31:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-05-21T17:18:01Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added B evidence from https://github.com/mattpocock/skills" }, { "timestamp": "2026-05-21T17:18:32Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added A evidence from https://github.com/gaia-research/gaia-skill-tree/pull/352" }, { "timestamp": "2026-05-21T17:19:20Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 1★ to 6★", "previousValue": "1★", "newValue": "6★" }, { "timestamp": "2026-05-21T17:19:20Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added evidence: https://github.com/gaia-research/gaia-skill-tree/pull/352, https://github.com/mattpocock/skills", "previousValue": null, "newValue": "6★" }, { "timestamp": "2026-05-25T03:46:19Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 6★ to 6★" }, { "timestamp": "2026-05-25T03:46:20Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added A evidence from https://github.com/mattpocock/skills" }, { "timestamp": "2026-06-01T15:39:59Z", "action": "rename", "contributor": "unknown", "details": "Renamed from mattpocock-skills to skill-mastery" }, { "timestamp": "2026-06-14T07:09:08Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/mattpocock/skills as B (trustNumber: 70.0)" }, { "timestamp": "2026-06-14T07:09:08Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/gaia-research/gaia-skill-tree/pull/352 as B (trustNumber: 70.0)" }, { "timestamp": "2026-06-14T07:09:08Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/mattpocock/skills as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ -0.120443391508624, -0.12353751435386255, -0.1112106269290449, -0.0009004336698097465 ], "spectral": [ -0.0019835568271827867, -0.011351865256877543, -0.007979589481635622, -0.002351431540531097 ], "semantic": [ -0.120443391508624, -0.12353751435386255, -0.1112106269290449, -0.0009004336698097465 ] }, "namedMaxLevel": "5★", "ultimateGateStatus": { "passes": false, "reason": "only 0/3 graded evidence sources" } }, { "id": "skill-performance-benchmarking", "name": "Skill Performance Benchmarking", "type": "extra", "description": "Builds and runs task suites that measure whether agents select, invoke, and complete installed skills correctly across artifact-rich workflows and repeated trials.", "prerequisites": [ "agent-eval", "skill-discovery", "statistical-analysis" ], "derivatives": [ "registry-curation", "registry-health-scan", "founder-mode-orchestration" ], "conditions": "Requires a skill corpus, benchmark tasks, success rubrics, and variance-aware reporting across multiple runs.", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2603.02176", "evaluator": "codex", "date": "2026-05-10", "notes": "AgentSkillOS paper introduces ecosystem-scale organization, orchestration, and benchmarking with a 30-task suite spanning data computation, documents, video, design, and web interaction. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/anthropics/skills/blob/main/skills/skill-creator/SKILL.md", "evaluator": "codex", "date": "2026-05-10", "notes": "Anthropic skill-creator explicitly includes measuring skill performance, benchmarking with variance analysis, and optimizing skill descriptions for triggering accuracy. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 }, { "class": "B", "source": "https://github.com/ynulihao/AgentSkillOS", "evaluator": "codex", "date": "2026-05-10", "notes": "AgentSkillOS repository provides the reproducible retrieval/orchestration framework and benchmark implementation for 30 artifact-rich agent-skill tasks with Bradley-Terry scoring. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [ "Claude" ], "status": "provisional", "createdAt": "2026-05-10", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-06-14T07:09:05Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2603.02176 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:05Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/anthropics/skills/blob/main/skills/skill-creator/SKILL.md as B (trustNumber: 70.0)" }, { "timestamp": "2026-06-14T07:09:05Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/ynulihao/AgentSkillOS as B (trustNumber: 70.0)" } ], "cluster": 4, "positions": { "deterministic": [ 0.01038854132176986, 0.5082698934714027, -0.34394539743387403, -0.0008366481809958137 ], "spectral": [ -0.001983556827182798, -0.011351865256877805, -0.007979589481635747, -0.002351431540531256 ], "semantic": [ 0.47544065341041297, 0.2669451371435061, 0.2705397314016074, -0.2882056253235494 ] }, "namedMaxLevel": "2★" }, { "id": "skill-security-analysis", "name": "Skill Security Analysis", "type": "extra", "description": "Assesses third-party agent skills for malicious behavior, unsafe permissions, prompt-injection exposure, repository-context mismatch, and supply-chain risk before installation or invocation.", "prerequisites": [ "security-audit", "prompt-injection-defense", "skill-discovery" ], "derivatives": [ "guardrails", "registry-curation" ], "conditions": "Requires access to the skill manifest, referenced files, source repository context, and a policy for trusted permissions.", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2603.16572", "evaluator": "codex", "date": "2026-05-10", "notes": "Malicious Or Not studies agent skill classification and improves detection by comparing skill descriptions with surrounding repository context. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "A", "source": "https://arxiv.org/abs/2602.12430", "evaluator": "codex", "date": "2026-05-10", "notes": "Agent Skills architecture and security survey reports vulnerabilities in community-contributed skills and proposes a governance framework for provenance and deployment permissions. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "A", "source": "https://arxiv.org/abs/2604.25109", "evaluator": "codex", "date": "2026-05-10", "notes": "SkillGuard-Robust formulates pre-load auditing for untrusted Agent Skills as cross-file package review over SKILL.md, scripts, references, and repository context, with reported high exact-match and malicious-risk recall. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-10", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-05-25T03:45:37Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 4★ to 2★" }, { "timestamp": "2026-05-25T03:46:10Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 4★ to 2★", "previousValue": "4★", "newValue": "2★" }, { "timestamp": "2026-06-14T07:09:05Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2603.16572 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:05Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2602.12430 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:05Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2604.25109 as A (trustNumber: 85.0)" } ], "cluster": 3, "positions": { "deterministic": [ 0.3300402437276966, -0.38115656198814857, -0.3492752013385646, -0.0007651640774897344 ], "spectral": [ -0.0019835568271824216, -0.011351865256877446, -0.007979589481636164, -0.0023514315405310103 ], "semantic": [ 0.5444757491593103, -0.004454795452631787, -0.01527772172342325, -0.5764648830650188 ] } }, { "id": "software-design", "name": "Software Design", "type": "basic", "description": "Design software modules with clean interfaces, seams, and deep implementations for maintainability and testability.", "prerequisites": [], "derivatives": [], "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-06-19", "updatedAt": "2026-06-19", "version": "0.1.0", "timeline": [ { "timestamp": "2026-06-19T12:57:35Z", "action": "add", "contributor": "unknown", "details": "Added generic skill software-design" } ], "cluster": 0, "positions": { "deterministic": [ -0.8325153186336706, 0.09291092501523938, -0.592669579652775, -0.0006866956048242435 ], "spectral": [ 0.12470441673369637, -0.07933851767128883, -0.18530793030336357, -0.7318252301423438 ], "semantic": [ -0.8325153186336706, 0.09291092501523938, -0.592669579652775, -0.0006866956048242435 ] } }, { "id": "speech-to-text", "name": "Speech to Text", "type": "basic", "description": "Transcribes spoken audio into accurate text, handling diverse accents, noise conditions, and multiple languages.", "prerequisites": [], "derivatives": [ "voice-agent" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2212.04356", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "Whisper (OpenAI) — large-scale weak supervision across 680K hours of audio achieves near-human WER on LibriSpeech and multilingual benchmarks. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-06-14T07:08:55Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2212.04356 as A (trustNumber: 85.0)" } ], "cluster": 0, "positions": { "deterministic": [ 0.6682418328013208, 0.48795632530611366, -0.601552586160593, -0.0006020267940399808 ], "spectral": [ -0.001983556827183546, -0.01135186525687725, -0.00797958948163549, -0.002351431540531067 ], "semantic": [ -0.38845252612694436, -0.534789573962801, 0.1656243617798239, 0.6023382072450923 ] } }, { "id": "statistical-analysis", "name": "Statistical Analysis", "type": "basic", "description": "Performs hypothesis testing, regression analysis, and Bayesian modelling with effect size calculation and APA-formatted statistical reporting using scipy, statsmodels, and PyMC.", "prerequisites": [], "derivatives": [ "prediction-market-analysis", "skill-performance-benchmarking" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2511.06701", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "Sargsyan (2025) — Structural Enforcement of Statistical Rigor in AI-Driven Discovery; monadic architecture achieves 1.1% false discovery rate vs 41% for naive LLM approaches across automated hypothesis-testing pipelines. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-06-02T23:45:13Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/K-Dense-AI/scientific-agent-skills/blob/main/scientific-skills/statistical-analysis/SKILL.md" }, { "timestamp": "2026-06-14T07:08:55Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2511.06701 as A (trustNumber: 85.0)" } ], "cluster": 5, "positions": { "deterministic": [ -0.16505321939581283, -0.8069034539443276, -0.6104355926684107, -0.000512003627906517 ], "spectral": [ -0.0019835568271829524, -0.011351865256877692, -0.007979589481635442, -0.0023514315405318794 ], "semantic": [ -0.096533750390835, 0.10467127259141226, -0.5706067080999537, -0.2669747904483293 ] } }, { "id": "stealth-browser-interaction", "name": "Stealth Browser Interaction", "type": "extra", "description": "Operates web browsers through an advanced stealth layer that handles bot-detection, fingerprinting, session rotation, and human-like interaction patterns to maintain resilient access to protected domains.", "prerequisites": [ "browser-automation", "computer-use" ], "derivatives": [ "autonomous-web-research", "e2e-testing" ], "conditions": "Requires a stealth-enabled browser driver and session management infrastructure.", "evidence": [], "knownAgents": [ "apify/crawlee" ], "status": "provisional", "createdAt": "2026-05-14", "updatedAt": "2026-06-02", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-14T07:54:42Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-05-25T04:25:35Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 4★ to 3★" }, { "timestamp": "2026-05-25T04:44:23Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 4★ to 2★", "previousValue": "4★", "newValue": "2★" }, { "timestamp": "2026-06-02T23:45:13Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/apify/crawlee-python/blob/main/AGENTS.md" } ], "cluster": 3, "positions": { "deterministic": [ -0.25467831929664103, 0.4189990966897471, -0.3705944169573276, -0.0004175255881421591 ], "spectral": [ -0.0019835568271823686, -0.011351865256876448, -0.007979589481635345, -0.0023514315405319002 ], "semantic": [ 0.1601113439645329, -0.01883129100936959, -0.04169685040779349, 0.16030306035742847 ] } }, { "id": "structured-output", "name": "Structured Output Generation", "type": "basic", "description": "Generates output guaranteed to conform to a given schema (JSON, YAML, Pydantic model, etc.) using constrained decoding or grammar-guided generation.", "prerequisites": [], "derivatives": [ "rag-pipeline", "text-to-sql-pipeline", "function-calling", "guardrails", "skill-authoring" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2307.09702", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "Willard & Louf (2023) — Efficient Guided Generation for LLMs; finite-state machine approach guarantees schema-valid output with <1% throughput overhead. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/outlines-dev/outlines", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "Outlines library — production-grade constrained decoding supporting JSON Schema, regex, and CFG grammars; 2k+ GitHub stars. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-06-14T07:08:55Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2307.09702 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:55Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/outlines-dev/outlines as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ 0.7741207850372888, -0.22951619657825512, -0.6282016056840467, -0.0003195366680899381 ], "spectral": [ -0.001983556827182645, -0.011351865256877602, -0.007979589481635603, -0.0023514315405314744 ], "semantic": [ -0.20913673808120314, -0.40321708938707435, -0.3183220684016274, 0.514889443936271 ] } }, { "id": "subagent-driven-development", "name": "Subagent-Driven Development", "type": "extra", "description": "Executes plans by dispatching a fresh subagent per task with a two-stage review (spec compliance then code quality).", "prerequisites": [ "executing-plans", "dispatching-parallel-agents", "code-review-pipeline" ], "derivatives": [ "superpowers" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-18", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-18T14:11:08Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 4★ (provisional)", "previousValue": null, "newValue": "4★" }, { "timestamp": "2026-05-19T13:55:59Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Type adjusted from basic to extra", "previousValue": "basic", "newValue": "extra" } ], "cluster": 3, "positions": { "deterministic": [ -0.4344746707112108, -0.21180653864612972, -0.38125402476670917, -0.00021901594064819215 ], "spectral": [ -0.001983556827182288, -0.011351865256877432, -0.007979589481635373, -0.002351431540531243 ], "semantic": [ 0.7161703579117086, -0.07595609716018831, -0.12766120691579594, -0.23502161921982354 ] }, "namedMaxLevel": "4★" }, { "id": "summarize", "name": "Summarize", "type": "basic", "description": "Condenses longer input into a shorter representation that preserves key information and intent.", "prerequisites": [], "derivatives": [ "research", "document-analyst", "data-analysis", "literature-review", "wiki-search" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-02", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 0★ (provisional)", "previousValue": null, "newValue": "0★" }, { "timestamp": "2026-06-02T23:45:13Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/gaia-registry/gaia/blob/main/docs/evidence/summarize.md" } ], "cluster": 0, "positions": { "deterministic": [ 0.28885417461725543, 0.7395247970949527, -0.6459676186996824, -0.00011696777569777735 ], "spectral": [ -0.001983556827182784, -0.011351865256877487, -0.007979589481635603, -0.0023514315405313863 ], "semantic": [ -0.49916404989409924, -0.49945224785608816, 0.17921005422334635, 0.02572838002261855 ] } }, { "id": "superpowers", "name": "Superpowers", "type": "ultimate", "description": "A complete software development methodology for coding agents: combines brainstorming, planning, parallel execution, systematic debugging, code review loops, and branch discipline into a unified agentic workflow.", "prerequisites": [ "brainstorming", "dispatching-parallel-agents", "executing-plans", "finishing-a-development-branch", "receiving-code-review", "requesting-code-review", "subagent-driven-development", "systematic-debugging", "using-git-worktrees", "verification-before-completion", "writing-plans" ], "derivatives": [], "conditions": "Requires demonstrating all 11 obra discipline skills together in a real multi-step development context.", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-18", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-18T00:00:00Z", "action": "fuse", "contributor": "mbtiongson1", "details": "Fused 11 obra/superpowers discipline skills into /superpowers ultimate. Components: brainstorming, writing-plans, executing-plans, dispatching-parallel-agents, subagent-driven-development, requesting-code-review, receiving-code-review, systematic-debugging, verification-before-completion, using-git-worktrees, finishing-a-development-branch. Promoted to 5 star on evidence: obra/superpowers v5.1.0, 196k+ stars, multi-platform adoption." }, { "timestamp": "2026-05-18T14:11:08Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 5★ (provisional)", "previousValue": null, "newValue": "5★" }, { "timestamp": "2026-05-25T03:46:20Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 5★ to 5★" } ], "cluster": 3, "positions": { "deterministic": [ 0.05452256677407438, -0.14748900204947496, -0.1289766399446807, -1.4411804770243272e-05 ], "spectral": [ -0.00198355682718262, -0.011351865256877378, -0.007979589481635416, -0.002351431540531455 ], "semantic": [ 0.7480050613293854, -0.11999210763563191, 0.054062727241832045, -0.07228203771447467 ] }, "namedMaxLevel": "5★", "ultimateGateStatus": { "passes": false, "reason": "only 0/3 graded evidence sources" } }, { "id": "supply-chain-optimization", "name": "Supply Chain Optimization", "type": "extra", "description": "Orchestrates inventory, logistics, and procurement decisions using demand forecasting, EOQ and safety-stock computation, route optimization, and anomaly-aware fulfilment monitoring.", "prerequisites": [ "data-analysis", "detect-anomaly", "statistical-analysis" ], "derivatives": [], "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2509.03673", "evaluator": "unknown", "date": "2026-06-03", "notes": "ML-Based Study on Synergistic Optimization of Supply Chain Management and Financial Supply Chains: LSTM demand forecasting + XGBoost credit assessment + Game Theory / RL for inventory-procurement; 30% inventory turnover uplift, >95% order fill rate (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "A", "source": "https://arxiv.org/abs/2503.14556", "evaluator": "unknown", "date": "2026-06-03", "notes": "Designing and Deploying AI Models for Sustainable Logistics Optimization: predictive demand analytics, route optimization via ML, AI-powered fuel efficiency strategies for eco-efficient supply chains (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/kishorkukreja/awesome-supply-chain/blob/main/skills/inventory-optimization/SKILL.md", "evaluator": "unknown", "date": "2026-06-03", "notes": "Comprehensive skill covering EOQ, safety stock, reorder points, ABC-XYZ classification, multi-SKU budget-constrained allocation, and Python implementations for inventory optimization (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-06-03", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-06-03T22:48:52Z", "action": "add", "contributor": "unknown", "details": "Added generic skill supply-chain-optimization" }, { "timestamp": "2026-06-03T22:48:52Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://arxiv.org/abs/2509.03673" }, { "timestamp": "2026-06-03T22:48:52Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://arxiv.org/abs/2503.14556" }, { "timestamp": "2026-06-03T22:48:52Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/kishorkukreja/awesome-supply-chain/blob/main/skills/inventory-optimization/SKILL.md" }, { "timestamp": "2026-06-14T07:09:05Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2509.03673 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:06Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2503.14556 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:06Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/kishorkukreja/awesome-supply-chain/blob/main/skills/inventory-optimization/SKILL.md as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ -0.42107716876194756, 0.20827102422249633, -0.3972434364807813, 8.762726677339532e-05 ], "spectral": [ -0.001983556827183037, -0.011351865256877869, -0.007979589481635381, -0.0023514315405321643 ], "semantic": [ -0.42107716876194756, 0.20827102422249633, -0.3972434364807813, 8.762726677339532e-05 ] } }, { "id": "swarm-topology-management", "name": "Swarm Topology Management", "type": "basic", "description": "Initializes and manages multi-agent swarm network topologies (hierarchical, mesh, ring, star) with load balancing and fault tolerance.", "prerequisites": [], "derivatives": [], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-19", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-19T16:29:16Z", "action": "propose", "contributor": "claude", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" } ], "cluster": 1, "positions": { "deterministic": [ 0.7405651688212542, 0.21273736884505387, -0.672616638223136, 0.00018812989825991414 ], "spectral": [ -0.001983556827182859, -0.011351865256877817, -0.007979589481635399, -0.0023514315405321236 ], "semantic": [ 0.40479082785889814, 0.5857011892635655, 0.24592246092536235, 0.09385840169253429 ] }, "namedMaxLevel": "2★" }, { "id": "synthetic-data-generation", "name": "Synthetic Data Generation", "type": "basic", "description": "Generates privacy-preserving, domain-representative datasets via tabular synthesis and generative models, infusing schema and regulatory constraints to substitute for sensitive real data.", "prerequisites": [], "derivatives": [], "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2210.03205", "evaluator": "unknown", "date": "2026-06-03", "notes": "Synthetic Dataset Generation for Privacy-Preserving Machine Learning — layer-wise BN statistics method (Soufleri et al., 2022/2023) (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "A", "source": "https://arxiv.org/abs/2409.17315", "evaluator": "unknown", "date": "2026-06-03", "notes": "KIPPS: Knowledge infusion in Privacy Preserving Synthetic Data Generation — infuses domain/regulatory knowledge from KGs into generative deep learning (2024) (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/omer-metin/skills-for-antigravity/blob/main/skills/synthetic-data/SKILL.md", "evaluator": "unknown", "date": "2026-06-03", "notes": "SKILL.md: synthetic-data — LLM-based generation, tabular synthesis, SDV/Gretel, privacy-preserving data (omer-metin) (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-06-03", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-06-03T22:48:53Z", "action": "add", "contributor": "unknown", "details": "Added generic skill synthetic-data-generation" }, { "timestamp": "2026-06-03T22:48:53Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://arxiv.org/abs/2210.03205" }, { "timestamp": "2026-06-03T22:48:53Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://arxiv.org/abs/2409.17315" }, { "timestamp": "2026-06-03T22:48:53Z", "action": "evidence_added", "contributor": "unknown", "details": "Added B evidence from https://github.com/omer-metin/skills-for-antigravity/blob/main/skills/synthetic-data/SKILL.md" }, { "timestamp": "2026-06-14T07:08:55Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2210.03205 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:55Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2409.17315 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:55Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/omer-metin/skills-for-antigravity/blob/main/skills/synthetic-data/SKILL.md as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ -0.4014842347655597, -0.6525362236081436, -0.6814996447309543, 0.0002860919006172493 ], "spectral": [ -0.38306704503161526, 0.32696202952859554, 1.3665651340373457, 0.39102532182478694 ], "semantic": [ -0.4014842347655597, -0.6525362236081436, -0.6814996447309543, 0.0002860919006172493 ] } }, { "id": "system-integration", "name": "System Integration", "type": "basic", "description": "Connects disparate subsystems via shared contracts, event buses, and compatibility layers for coherent cross-component operation.", "prerequisites": [], "derivatives": [], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-19", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-19T16:29:16Z", "action": "propose", "contributor": "claude", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" } ], "cluster": 3, "positions": { "deterministic": [ -0.14642456957342664, 0.7423448808039148, -0.6903826512387723, 0.0003805344698997757 ], "spectral": [ -0.001983556827183018, -0.011351865256878977, -0.007979589481634729, -0.0023514315405324406 ], "semantic": [ 0.44001877850789345, 0.3853075460856958, 0.16305291177362946, 0.45440685347995813 ] }, "namedMaxLevel": "2★" }, { "id": "systematic-debugging", "name": "Systematic Debugging", "type": "extra", "description": "Finds the root cause before attempting fixes when encountering bugs, test failures, or unexpected behavior.", "prerequisites": [ "hypothesis-generate", "error-interpretation" ], "derivatives": [ "superpowers", "founder-mode-orchestration" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-18", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-18T14:11:08Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-05-19T13:55:59Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Type adjusted from basic to extra", "previousValue": "basic", "newValue": "extra" } ], "cluster": 6, "positions": { "deterministic": [ 0.3589398201937711, -0.2675938707326823, -0.4185626520995443, 0.00047051396717379183 ], "spectral": [ -0.001983556827182629, -0.011351865256877458, -0.007979589481635603, -0.0023514315405314284 ], "semantic": [ 0.38322111835713496, 0.012935196928713507, -0.6020806750876978, -0.547280700363383 ] }, "namedMaxLevel": "3★" }, { "id": "test-driven-development", "name": "Test-Driven Development", "type": "basic", "description": "Enforces a strict red-green-refactor TDD loop: writes failing tests before implementation, blocks code generation that skips the test step, and validates coverage thresholds before marking tasks complete.", "prerequisites": [], "derivatives": [], "conditions": "", "evidence": [ { "class": "B", "source": "https://github.com/mattpocock/skills/blob/main/skills/engineering/tdd/SKILL.md", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "Matt Pocock /tdd -- Vertical-slice TDD enforcement with anti-horizontal-slicing rules. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 0★ (provisional)", "previousValue": null, "newValue": "0★" }, { "timestamp": "2026-05-19T22:44:52Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 0★ to 3★", "previousValue": "0★", "newValue": "3★" }, { "timestamp": "2026-05-19T22:44:52Z", "action": "evidence_added", "contributor": "mbtiongson1", "details": "Added evidence: https://github.com/mattpocock/skills/blob/main/skills/engineering/tdd/SKILL.md", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-05-31T02:16:22Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://github.com/addyosmani/agent-skills/blob/main/skills/test-driven-development/SKILL.md" }, { "timestamp": "2026-06-14T07:08:55Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/mattpocock/skills/blob/main/skills/engineering/tdd/SKILL.md as B (trustNumber: 70.0)" } ], "cluster": 6, "positions": { "deterministic": [ -0.7380138712151058, -0.07760965069935434, -0.7081486642544081, 0.0005551313470457968 ], "spectral": [ 0.2032513335236074, 0.05519443788793985, 1.379362430402394, -0.4051991701296655 ], "semantic": [ 0.5809422215781898, -0.18663620765900923, -0.5661975289572886, -0.172948191843109 ] }, "namedMaxLevel": "2★" }, { "id": "text-to-speech", "name": "Text to Speech", "type": "basic", "description": "Synthesizes natural-sounding speech audio from text input, supporting voice cloning and prosody control.", "prerequisites": [], "derivatives": [ "voice-agent" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2301.02111", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "VALL-E (Microsoft) — neural codec language model achieving SOTA speech synthesis with 3-second voice cloning on LibriSpeech. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" }, { "timestamp": "2026-06-14T07:08:56Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2301.02111 as A (trustNumber: 85.0)" } ], "cluster": 0, "positions": { "deterministic": [ 0.4828216173315042, 0.5471614614625863, -0.7170316707622257, 0.0006335411406269023 ], "spectral": [ -0.001983556827181566, -0.011351865256877288, -0.007979589481636776, -0.0023514315405307106 ], "semantic": [ -0.15768071064276343, -0.5951417103557923, 0.16673168188338414, 0.7341443732257976 ] } }, { "id": "text-to-sql-pipeline", "name": "Text-to-SQL Pipeline", "type": "extra", "description": "Converts natural-language queries into validated, executable SQL against a target schema and returns formatted result sets.", "prerequisites": [ "generate-sql", "parse-json", "format-output" ], "derivatives": [], "conditions": "Requires schema context in prompt.", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2304.11015", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "DIN-SQL — decomposed in-context learning for text-to-SQL; 82.8% execution accuracy on Spider dev, demonstrating end-to-end pipeline. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-05-25T03:45:36Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 3★ to 2★" }, { "timestamp": "2026-05-25T03:46:10Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 3★ to 2★", "previousValue": "3★", "newValue": "2★" }, { "timestamp": "2026-06-14T07:09:06Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2304.11015 as A (trustNumber: 85.0)" } ], "cluster": 0, "positions": { "deterministic": [ 0.0053207957631550545, -0.43390131728146375, -0.4345520638136164, 0.0007049599031784745 ], "spectral": [ -0.0019835568271824016, -0.01135186525687745, -0.007979589481635739, -0.0023514315405312337 ], "semantic": [ -0.41700133840143017, -0.04649071268769494, -0.35795272357330765, 0.244513389229799 ] } }, { "id": "threat-intelligence-synthesis", "name": "Threat Intelligence Synthesis", "type": "extra", "description": "Synthesizes security feeds, CVE/CWE data, and incident signals into actionable intelligence with IoC/TTP management and MITRE ATT&CK mapping.", "prerequisites": [ "feed-monitoring", "knowledge-graph-build", "security-audit" ], "derivatives": [], "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2504.00428", "evaluator": "unknown", "date": "2026-06-03", "notes": "LLM-Assisted Proactive Threat Intelligence for Automated Reasoning — integrates GPT-4o + RAG with CVE/CWE/EPSS/KEV feeds for automated threat synthesis (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "A", "source": "https://arxiv.org/abs/2410.20287", "evaluator": "unknown", "date": "2026-06-03", "notes": "AI-Driven Cyber Threat Intelligence Automation — GPT-4o fine-tuning for CTI report generation from threat feeds, security logs, dark web forums (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "C", "source": "https://skillsmp.com/skills/j4flmao-agent-skills-skills-security-threat-intelligence-skill-md", "evaluator": "unknown", "date": "2026-06-03", "notes": "threat-intelligence skill on SkillsMP — IoC/TTP management, threat hunting, MITRE ATT&CK mapping (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-06-03", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-06-03T22:48:54Z", "action": "add", "contributor": "unknown", "details": "Added generic skill threat-intelligence-synthesis" }, { "timestamp": "2026-06-03T22:48:54Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://arxiv.org/abs/2504.00428" }, { "timestamp": "2026-06-03T22:48:55Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://arxiv.org/abs/2410.20287" }, { "timestamp": "2026-06-03T22:48:55Z", "action": "evidence_added", "contributor": "unknown", "details": "Added C evidence from https://skillsmp.com/skills/j4flmao-agent-skills-skills-security-threat-intelligence-skill-md" }, { "timestamp": "2026-06-14T07:09:06Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2504.00428 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:06Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2410.20287 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:06Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://skillsmp.com/skills/j4flmao-agent-skills-skills-security-threat-intelligence-skill-md as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ -0.29649629014913975, 0.31028034873920646, -0.43988186771830734, 0.0007686740420330005 ], "spectral": [ -0.001983556827182393, -0.01135186525687719, -0.007979589481636086, -0.002351431540531169 ], "semantic": [ -0.29649629014913975, 0.31028034873920646, -0.43988186771830734, 0.0007686740420330005 ] } }, { "id": "time-series-forecasting", "name": "Time Series Forecasting", "type": "basic", "description": "Forecasts temporal sequences with seasonal-trend decomposition, ensemble models (ARIMA, Prophet, NBEATS, TFT), and residual-based anomaly detection.", "prerequisites": [], "derivatives": [], "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2412.12168", "evaluator": "unknown", "date": "2026-06-03", "notes": "A Decomposition Modeling Framework for Seasonal Time-Series Forecasting: Multi-scale Seasonal Decomposition Model (MSSD) decomposes series into Ascending/Peak/Descending; Conv2d + TCN capture global+local features; 10% error reduction over baselines (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "A", "source": "https://arxiv.org/abs/2602.18465", "evaluator": "unknown", "date": "2026-06-03", "notes": "Revisiting the Seasonal Trend Decomposition for Enhanced Time Series Forecasting (ICASSP 2026): component-specific normalization strategy; ~10% MSE reduction across four SOTA baselines; validated on USGS hydrological data (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "C", "source": "https://github.com/unit8co/darts", "evaluator": "unknown", "date": "2026-06-03", "notes": "darts: 9400+ star Python library for user-friendly forecasting with seasonal decomposition, ensemble methods, anomaly detection; covers ARIMA, Prophet, TFT, NBEATS and more (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-06-03", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-06-03T22:48:52Z", "action": "add", "contributor": "unknown", "details": "Added generic skill time-series-forecasting" }, { "timestamp": "2026-06-03T22:48:52Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://arxiv.org/abs/2412.12168" }, { "timestamp": "2026-06-03T22:48:52Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://arxiv.org/abs/2602.18465" }, { "timestamp": "2026-06-03T22:48:53Z", "action": "evidence_added", "contributor": "unknown", "details": "Added C evidence from https://github.com/unit8co/darts" }, { "timestamp": "2026-06-14T07:08:56Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2412.12168 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:56Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2602.18465 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:56Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/unit8co/darts as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ 0.7004087049507403, -0.050109195288317025, -0.7436806902856795, 0.0008240469465761441 ], "spectral": [ -0.5521154511262734, 0.07726230189249493, 0.026474024257633132, 0.08146286593757512 ], "semantic": [ 0.7004087049507403, -0.050109195288317025, -0.7436806902856795, 0.0008240469465761441 ] } }, { "id": "token-observability", "name": "Token Observability", "type": "basic", "summary": "Observability tool for tracking AI coding agent token spend locally.", "description": "Tracks and analyzes token usage and cost across multiple AI models and agents, providing session-level and project-level spending metrics. Operates locally by reading session data directly from disk and utilizes local pricing calculation, ensuring no proxies or API keys are required. Features CLI commands to optimize token waste, compare models, and track yield.", "useCase": "A developer or engineering team uses this skill to monitor and optimize their spending across various AI coding assistants. By running it against local session logs from tools like Cursor or Aider, they can attribute token usage to specific projects, compare model costs, and identify inefficient, abandoned, or reverted tasks to reduce overall budget waste.", "directives": "Prioritize accurate local parsing of multi-tool session logs. Use up-to-date pricing data to convert tokens to cost. Provide actionable insights via clear CLI commands for optimization and comparison. Never send session data to external servers; all analysis must remain local to preserve privacy.", "prerequisites": [], "derivatives": [ "data-analysis" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-14", "updatedAt": "2026-06-01", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-14T09:36:10Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 2★ (provisional)", "previousValue": null, "newValue": "2★" } ], "cluster": 3, "positions": { "deterministic": [ -0.546060410752315, -0.4323650483341001, -0.7525636967934972, 0.0008705253490495552 ], "spectral": [ -1.084779553365572, 0.7505487123963102, -1.1773681815273416, 0.2020328025161466 ], "semantic": [ 0.31960195675359193, 0.06750352425526464, 0.05119232652627546, -0.024018933761980096 ] }, "namedMaxLevel": "2★" }, { "id": "tokenize", "name": "Tokenize", "type": "basic", "description": "Splits input text into discrete tokens suitable for downstream processing by language models.", "prerequisites": [], "derivatives": [], "evidence": [], "status": "provisional", "createdAt": "2026-05-20", "updatedAt": "2026-06-01", "version": "0.1.0", "knownAgents": [], "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 0★ (provisional)", "previousValue": null, "newValue": "0★" }, { "timestamp": "2026-05-20T00:02:47Z", "action": "add", "contributor": "unknown", "details": "Added generic skill tokenize" }, { "timestamp": "2026-05-20T00:05:31Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 0★ to 1★", "previousValue": "0★", "newValue": "1★" } ], "cluster": 0, "positions": { "deterministic": [ 0.10583044776861766, 0.6758895723615593, -0.7614467033013154, 0.0009076448526194403 ], "spectral": [ -0.0019835568271823773, -0.011351865256876276, -0.007979589481634464, -0.0023514315405322255 ], "semantic": [ -0.5744488986672353, -0.43061646409841015, 0.19507436489166274, 0.4134381469891124 ] } }, { "id": "tool-chaining", "name": "Tool Chaining", "type": "extra", "description": "Sequences multiple tool invocations into a dependency graph where the output of each tool feeds as structured input to the next, handling state propagation, intermediate result validation, and error recovery across multi-step execution pipelines.", "prerequisites": [ "tool-use", "tool-select" ], "derivatives": [], "conditions": "Requires at least two distinct tools whose data schemas are compatible for chaining.", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2604.07223", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "TraceSafe (2026) — first benchmark with 1,000+ instances explicitly evaluating sequential multi-step tool-calling trajectories across 12 risk categories; establishes tool-chaining as a distinct, measurable capability surface. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "C", "source": "https://skillsmp.com/api/v1/skills/search?q=tool-chaining", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "SkillsMP: dependency-aware-tool-chaining, build-agentic-workflows-chaining-tool-calls; emerging community consensus on the pattern. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-06-14T07:09:06Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2604.07223 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:09:06Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://skillsmp.com/api/v1/skills/search?q=tool-chaining as B (trustNumber: 70.0)" } ], "cluster": 3, "positions": { "deterministic": [ 0.22105359329303867, -0.3383409051590536, -0.46120108333707016, 0.0009350345714762031 ], "spectral": [ -0.0019835568271822494, -0.011351865256877307, -0.00797958948163542, -0.002351431540531735 ], "semantic": [ 0.42629222951437923, 0.19460370345943043, -0.3798134790694842, 0.25416998971043137 ] } }, { "id": "tool-creation", "name": "Tool Creation", "type": "extra", "description": "Dynamically generates reusable tool functions (code) at runtime to solve novel sub-tasks, then invokes those tools to complete the overall objective without human-written APIs.", "prerequisites": [ "code-generation", "tool-use" ], "derivatives": [ "full-stack-developer", "autonomous-web-research", "mcp-server-creation" ], "conditions": "", "evidence": [ { "class": "A", "source": "https://arxiv.org/abs/2305.17126", "evaluator": "mbtiongson1", "date": "2026-04-29", "notes": "Cai et al. (2023) — Large Language Models as Tool Makers (LATM); LLM-generated tools reused across problem instances achieve +8.7% on BigBench Hard vs per-instance CoT. (backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "B", "source": "https://github.com/ctlllll/LLM-ToolMaker", "evaluator": "mbtiongson1", "date": "2026-04-29", "notes": "LATM repo — reproducible tool-maker/tool-user pipeline with evaluation on BigBench Hard tasks and tool reuse across problem batches. 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"timestamp": "2026-05-19T13:55:59Z", "action": "type_change", "contributor": "mbtiongson1", "details": "Type adjusted from basic to extra", "previousValue": "basic", "newValue": "extra" } ], "cluster": 6, "positions": { "deterministic": [ -0.020486982723549648, 0.3161049591458718, -0.5251587301933591, 0.0005056533004092962 ], "spectral": [ -0.0019835568271829285, -0.011351865256877548, -0.007979589481635402, -0.0023514315405319744 ], "semantic": [ 0.4070440938513318, -0.1115512833552106, -0.20285478154570927, -0.05524099292969408 ] }, "namedMaxLevel": "3★" }, { "id": "vertical-slice-planning", "name": "Vertical Slice Planning", "type": "extra", "description": "Decomposes a product plan into independently-demoable vertical slices that each cut through all integration layers end-to-end. 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(backfilled — class-to-type migration)", "type": "arxiv", "trustNumber": 85.0 }, { "class": "C", "source": "https://skillsmp.com/api/v1/skills/search?q=vision-qa", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "SkillsMP: 6+ named entries including visual-qa, vision-qa-workflow, claude-vision-qa, visual-qa-analysis from multiple contributors. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-30", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-05-25T03:45:36Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 3★ to 2★" }, { "timestamp": "2026-05-25T03:46:10Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 3★ to 2★", "previousValue": "3★", "newValue": "2★" }, { "timestamp": "2026-06-14T07:08:56Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://arxiv.org/abs/2604.17488 as A (trustNumber: 85.0)" }, { "timestamp": "2026-06-14T07:08:56Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://skillsmp.com/api/v1/skills/search?q=vision-qa as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ 0.3622703540760484, 0.3141819506024272, -0.9035748074264017, 0.00022836752116131746 ], "spectral": [ -0.001983556827180993, -0.011351865256876233, -0.007979589481635215, -0.002351431540529881 ], "semantic": [ -0.22765662507242854, -0.7370155810852302, 0.07711817485451034, 0.14125639632314296 ] } }, { "id": "voice-agent", "name": "Voice Agent", "type": "extra", "description": "Handles spoken interactions end-to-end: transcribes audio input, produces language responses, and synthesizes speech output.", "prerequisites": [ "speech-to-text", "question-answer", "text-to-speech" ], "derivatives": [ "real-time-voice-assistant" ], "conditions": "Requires real-time audio I/O or audio file access.", "evidence": [ { "class": "B", "source": "https://github.com/rasa/rasa", "evaluator": "mbtiongson1", "date": "2026-04-28", "notes": "Rasa Open Source — production voice agent framework with ASR/TTS integrations; reproducible pipeline with test suite and documented benchmarks. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-28", "updatedAt": "2026-06-21", "version": "0.2.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-06-14T07:09:07Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/rasa/rasa as B (trustNumber: 70.0)" } ], "cluster": 3, "positions": { "deterministic": [ -0.03448388470898973, -0.27708023624175465, -0.5464779458121221, 0.00012877906769593177 ], "spectral": [ -0.001983556827182627, -0.011351865256876663, -0.00797958948163603, -0.002351431540531024 ], "semantic": [ 0.15641930086321723, -0.3712103631609362, 0.5207198973872048, 0.3892611964657917 ] } }, { "id": "web-accessibility", "name": "web-accessibility", "type": "extra", "description": "Accessibility", "prerequisites": [ "browser-control", "ux-audit" ], "derivatives": [], "evidence": [ { "class": "A", "source": "https://github.com/addyosmani/web-quality-skills", "evaluator": "addyosmani", "date": "2026-05-24", "type": "repo", "trustNumber": 70.0, "notes": "(backfilled — class-to-type migration)" } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-24", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-24T16:02:41Z", "action": "add", "contributor": "unknown", "details": "Added generic skill web-accessibility" }, { "timestamp": "2026-05-24T16:08:04Z", "action": "rank_up", "contributor": "unknown", "details": "Calibrated level from None to 2★" }, { "timestamp": "2026-05-24T16:10:23Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://github.com/addyosmani/web-quality-skills" }, { "timestamp": "2026-06-14T07:09:07Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/addyosmani/web-quality-skills as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ -0.1586604637224221, 0.21675172779244783, -0.5518077497168127, 2.7242998981578074e-05 ], "spectral": [ -0.001983556827183143, -0.011351865256878011, -0.0079795894816356, -0.002351431540532073 ], "semantic": [ -0.1586604637224221, 0.21675172779244783, -0.5518077497168127, 2.7242998981578074e-05 ] } }, { "id": "web-best-practices", "name": "web-best-practices", "type": "extra", "description": "Web Best Practices", "prerequisites": [ "code-review-pipeline", "performance-tuning" ], "derivatives": [], "evidence": [ { "class": "A", "source": "https://github.com/addyosmani/web-quality-skills", "evaluator": "addyosmani", "date": "2026-05-24", "type": "repo", "trustNumber": 70.0, "notes": "(backfilled — class-to-type migration)" } ], "knownAgents": [], "status": "provisional", "createdAt": "2026-05-24", "updatedAt": "2026-06-21", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-24T16:03:24Z", "action": "add", "contributor": "unknown", "details": "Added generic skill web-best-practices" }, { "timestamp": "2026-05-24T16:07:27Z", "action": "rank_up", "contributor": "unknown", "details": "Calibrated level from None to 2★" }, { "timestamp": "2026-05-24T16:09:50Z", "action": "evidence_added", "contributor": "unknown", "details": "Added A evidence from https://github.com/addyosmani/web-quality-skills" }, { "timestamp": "2026-06-14T07:09:07Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/addyosmani/web-quality-skills as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ 0.24909666680148967, -0.052476632422335426, -0.5571375536215036, -7.522617014650461e-05 ], "spectral": [ -0.0019835568271828487, -0.011351865256877987, -0.0079795894816356, -0.002351431540531831 ], "semantic": [ 0.24909666680148967, -0.052476632422335426, -0.5571375536215036, -7.522617014650461e-05 ] } }, { "id": "web-quality-audit", "name": "web-quality-audit", "type": "extra", "description": "Orchestrates a multi-axis web quality audit covering performance (Core Web Vitals), accessibility (WCAG), SEO, and best practices, producing actionable remediation plans from Lighthouse and real-user data.", "prerequisites": [ "registry-health-scan", "performance-tuning", "search-engine-optimization", "web-accessibility", "web-best-practices" ], "derivatives": [], "evidence": [ { "class": "B", "source": "https://github.com/addyosmani/agent-skills", "evaluator": "mbtiongson1", "date": "2026-05-31", "notes": "Addy Osmani's agent-skills repo (47k stars) contains performance-optimization, code-review-and-quality, security-and-hardening and other skills that compose a web quality audit workflow. The prior URL (addyosmani/web-quality-skills) was a non-existent repo — corrected to the verified canonical repo. 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Downgraded from Class A to Class B (Class A requires 10k+ stars AND verified repo-level adoption; bare repo URL does not meet §2.1 specificity requirement). Updated description from stub to meaningful copy." }, { "timestamp": "2026-06-14T07:09:07Z", "action": "evidence_graded", "contributor": "unknown", "details": "Re-graded evidence from https://github.com/addyosmani/agent-skills as B (trustNumber: 70.0)" } ], "cluster": 0, "positions": { "deterministic": [ -0.21206315667472186, -0.12556636854091435, -0.5624673575261943, -0.0001776046016221997 ], "spectral": [ -0.0019835568271828787, -0.011351865256878126, -0.007979589481635553, -0.0023514315405317857 ], "semantic": [ -0.21206315667472186, -0.12556636854091435, -0.5624673575261943, -0.0001776046016221997 ] } }, { "id": "web-scrape", "name": "Web Scrape", "type": "extra", "description": "Retrieves and structures data from web pages into usable entities.", "prerequisites": [ "web-search", "parse-html", "extract-entities" ], "derivatives": [ "knowledge-harvest", "x-twitter-automation", "founder-mode-orchestration" ], "conditions": "Structured output mode required.", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-02", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 3★ (provisional)", "previousValue": null, "newValue": "3★" }, { "timestamp": "2026-05-25T04:25:36Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 3★ to 2★" }, { "timestamp": "2026-05-25T04:44:23Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 3★ to 1★", "previousValue": "3★", "newValue": "1★" }, { "timestamp": "2026-06-02T23:45:13Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/gaia-registry/gaia/blob/main/docs/evidence/webScrape.md" } ], "cluster": 2, "positions": { "deterministic": [ 0.06467543081731474, 0.2215461288874877, -0.5677971614308851, -0.00027886936400000847 ], "spectral": [ -0.0019835568271825365, -0.011351865256877038, -0.00797958948163549, -0.0023514315405315117 ], "semantic": [ -0.6847578673066869, 0.14425905496079144, -0.09529072750613383, 0.029173231270711225 ] }, "namedMaxLevel": "2★" }, { "id": "web-search", "name": "Web Search", "type": "basic", "description": "Queries external search engines or APIs and retrieves relevant result sets.", "prerequisites": [], "derivatives": [ "browser-automation", "research", "web-scrape", "prediction-market-analysis" ], "conditions": "", "evidence": [], "knownAgents": [], "status": "provisional", "createdAt": "2026-04-26", "updatedAt": "2026-06-02", "version": "0.1.0", "timeline": [ { "timestamp": "2026-05-13T21:50:25Z", "action": "propose", "contributor": "mbtiongson1", "details": "Skill created as 1★ (provisional)", "previousValue": null, "newValue": "1★" }, { "timestamp": "2026-05-25T04:25:36Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated level from 1★ to 0★" }, { "timestamp": "2026-05-25T04:44:23Z", "action": "demote", "contributor": "mbtiongson1", "details": "Calibrated/demoted rank from 1★ to 0★", "previousValue": "1★", "newValue": "0★" }, { "timestamp": "2026-06-02T23:45:13Z", "action": "evidence_removed", "contributor": "unknown", "details": "Removed dead/invalid evidence: https://github.com/gaia-registry/gaia/blob/main/docs/evidence/webSearch.md" } ], "cluster": 2, "positions": { "deterministic": [ 0.15608710425711503, -0.32795756312802843, -0.9568728464733093, -0.0003780086532479283 ], "spectral": [ -0.0019835568271826705, -0.011351865256877251, -0.007979589481635399, -0.002351431540531772 ], "semantic": [ -0.6739949784213616, 0.37511299540220333, 0.14295407853628914, -0.20929101831221014 ] } }, { "id": "wiki-search", "name": "Wiki Search", "type": "extra", "description": "Builds, maintains, and queries an interlinked markdown or wiki-style knowledge base so an agent can retrieve durable local context across research sessions.", "prerequisites": [ "retrieve", "embed-text", "summarize" ], "derivatives": [], "conditions": "Requires an accessible local wiki or markdown knowledge-base directory and a consistent linking or indexing convention.", "evidence": [ { "class": "B", "source": "https://github.com/NousResearch/hermes-agent/blob/main/skills/research/llm-wiki/SKILL.md", "evaluator": "openai-codex", "date": "2026-05-06", "notes": "Hermes Agent llm-wiki skill documents a persistent interlinked markdown knowledge base pattern for compounding research notes and retrieval. 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(backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 }, { "class": "B", "source": "https://github.com/activepieces/activepieces", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "Activepieces -- AI agents and workflow automation with 400 MCP servers; MIT license, active community. (backfilled — class-to-type migration)", "type": "repo", "trustNumber": 70.0 }, { "class": "B", "source": "https://github.com/FlowiseAI/Flowise", "evaluator": "mbtiongson1", "date": "2026-04-30", "notes": "Flowise -- visual AI agent and workflow builder; 40k+ stars, Apache-2 license, reproducible demos. 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