repoGitHubTrust 82 · PrimaryPublished 3d agoLive · 3d ago
smixs/skill-conductor
Architecture-first skill lifecycle for AI agents. 5 modes: CREATE → EVAL → EDIT → REVIEW → PACKAGE. Integrates Anthropic's eval engine (grader/comparator/analyzer agents, blind A/B, benchmarks) with architecture patterns, TDD baseline, and 5-axis scoring. Not just testing - full design-to-distribution.
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 56%How KTern.AI built agentic AI for SAP on Amazon Bedrock AgentCore →
- PossiblePossibly related (embedding) · 56%LangChain Engineer Introduces Harbor for Complex AI Agent Evaluation - TechGig →
- PossiblePossibly related (embedding) · 55%Agentic AI in 2026: Enterprise Implementation Guide | Valorem Reply - Reply →
- PossiblePossibly related (embedding) · 53%Researchers develop 'hierarchical AI agent' that tackles complex errands with ease - Tech Xplore →
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newsHow KTern.AI built agentic AI for SAP on Amazon Bedrock AgentCorenewsLangChain Engineer Introduces Harbor for Complex AI Agent Evaluation - TechGignewsAgentic AI in 2026: Enterprise Implementation Guide | Valorem Reply - ReplynewsResearchers develop 'hierarchical AI agent' that tackles complex errands with ease - Tech Xplore
Related across the graph
newsLangChain Engineer Introduces Harbor for Complex AI Agent Evaluation - TechGignewsHow KTern.AI built agentic AI for SAP on Amazon Bedrock AgentCorenewsResearchers develop 'hierarchical AI agent' that tackles complex errands with ease - Tech XplorenewsAgentic AI in 2026: Enterprise Implementation Guide | Valorem Reply - Reply