Self Improvement

This is meta documentation for Claude itself on how to self-improve by studying real projects like actionbook and accomplish-ai. The core insight is token efficiency: don't read entire files when you need one section, pre-compute patterns instead of guessing at runtime, and maintain reusable skills like action manuals. It includes concrete patterns like layered architecture, security defaults, and a checklist for when to auto-install tools or create new skills. Honestly, this reads more like internal agent guidelines than something most users would directly invoke, but if you're building autonomous AI systems or want Claude to proactively maintain its own tooling, the frameworks here are solid.