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.

skills.sh installs
167
last updated
Aug 21, 2026

Install

$ npx -y skills add undermybelt/self-improvement-skill --skill self-improvement --agent claude-code

Installs into .claude/skills of the current project.

Files

Self-Improvement Patterns for AI Agents

Patterns learned from studying actionbook and accomplish-ai repositories.

Core Principles

1. Token Efficiency is Critical

ApproachTokensCost
Full HTML page50,000$$$
Relevant DOM only500$
Savings: 100x

Apply to everything:

  • Don't read entire files when you only need a section
  • Use semantic search (QMD) instead of grep through everything
  • Batch related operations

2. Pre-compute > Runtime Guess

Actionbook's key insight:

  • Pre-compute DOM selectors → Store as "action manuals"
  • Agent looks up manual → Knows exactly what to do
  • No guessing, no hallucination

Apply to your work:

  • Cache frequently used patterns
  • Store configurations, not just code
  • Build "manuals" for complex operations

3. Layered Architecture

From Accomplish:

packages/shared/   ← Types, constants (no dependencies)
packages/core/     ← Business logic (depends on shared)
apps/desktop/      ← UI/Electron (depends on core)

Sponsors

Details

Repository
github.com/undermybelt/self-improvement-skill
First seen
Jun 3, 2026

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