self-improve
FeaturedAutonomous evolutionary code improvement engine with tournament selection
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Quality Score: 96/100
Skill Content
Details
- Author
- Yeachan-Heo
- Repository
- Yeachan-Heo/oh-my-claudecode
- Created
- 8 months ago
- Last Updated
- today
- Language
- TypeScript
- License
- MIT
Bundled in these plugins
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self-improvement-loop
Research, evaluate, and propose safe evidence-backed improvements to the agentic engineering harness. Use for scheduled ecosystem monitoring, release-note review, capability-gap analysis, skill/MCP/design practice updates, or requests to make the repository learn from new internet developments without silently changing trusted behavior.
self-improvement-loops
This skill should be used when the harness, scaffold, workflow, or optimizer itself is the optimization target: recursive self-improvement (RSI) loops, meta-harnesses, self-improving harnesses that mine their own failures and propose bounded edits, evolutionary or population-based search over agent scaffolds, acceptance gates for self-modifying systems, and agentic context evolution where the mechanism that produces context is versioned and evolved. Route governance of a single autonomous loop (locked surfaces, durable logs, rollback, novelty gates, approval boundaries) to harness-engineering, measurement and quality-gate design to evaluation, judge design to advanced-evaluation, and remote sandbox infrastructure to hosted-agents.
self-improving-agent
A universal self-improving agent that learns from ALL skill experiences. Uses multi-memory architecture (semantic + episodic + working) to continuously evolve the codebase. Auto-triggers on skill completion/error with hooks-based self-correction.