Optimizes your Claude Code configuration by analyzing usage patterns and applying targeted improvements to rules, hooks, and skills.
The Self-Improvement Workflow is a sophisticated maintenance tool designed to evolve your Claude Code environment based on real-world usage data. It processes insights reports to identify friction points and failure patterns, then performs a comprehensive audit of your CLAUDE.md files, hooks, and custom skills. By proposing grouped, trigger-action based improvements with clear rationales, it helps developers maintain a high-performance AI assistant that adapts to their specific coding style and project requirements without manual configuration bloat.
주요 기능
01Usage-driven configuration auditing
02Hook and skill maintenance
030 GitHub stars
04Global and project-level setup optimization
05Interactive approval-based implementation
06Automated trigger-action rule generation
사용 사례
01Refining AI behavior after analyzing session insights
02Reducing workflow friction by automating repetitive manual configurations
03Maintaining a clean, under-200-line CLAUDE.md file