feat(skill-creator): add enrichment workflow for autonomous skill improvement#181
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feat(skill-creator): add enrichment workflow for autonomous skill improvement#181
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…rovement Adds a new mode of operation to skill-creator: a 6-phase AUDIT→RESEARCH→ENRICH→ TEST→EVALUATE→PUBLISH loop that autonomously improves thin skills by adding domain knowledge as reference content, then validates improvement via blind A/B eval before committing. Reuses existing eval infrastructure (run_eval.py, comparator.md, aggregate_benchmark.py). Max 3 iterations with rotating research angles. New files: - references/enrichment-workflow.md: deep reference for all 6 phases plus retry logic - references/domain-research-targets.md: per-domain lookup table of primary/secondary sources and extraction targets (Go, Python, K8s, TypeScript, React, Testing, Security, Perses, Code Review, Git/PR)
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Summary
What this enables
Autonomous skill improvement loop: research domain knowledge, add it as references, blind A/B test against baseline, publish if better, retry with different angle if not. Max 3 iterations.
Test plan