claude-md-improver

Audit and improve CLAUDE.md files in a repository.

1|Updated Feb 24, 2026
One-click install
npx skills add https://github.com/FacuM/yolo-agent --skill claude-md-improver-facum
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: claude-md-improver
Source: https://github.com/FacuM/yolo-agent/tree/main/.claude/skills/claude-md-improver
Command: npx skills add https://github.com/FacuM/yolo-agent --skill claude-md-improver-facum

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of maintaining up-to-date and comprehensive CLAUDE.md files, which are crucial for providing AI models with accurate project context and improving their performance.

Core Features & Use Cases

  • Automated Auditing: Scans repositories for CLAUDE.md files and evaluates their quality against defined criteria.
  • Targeted Improvements: Identifies specific areas for enhancement, such as missing commands, outdated architecture descriptions, or undocumented gotchas.
  • Use Case: When onboarding a new developer or integrating a new AI model, use this Skill to ensure all project documentation in CLAUDE.md is accurate, actionable, and complete, preventing common misunderstandings and speeding up development.

Quick Start

Use the claude-md-improver skill to audit and improve CLAUDE.md files in the current repository.

Frequently Asked Questions about claude-md-improver

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit and improve CLAUDE.md files for better AI context?

You can audit and improve CLAUDE.md files by evaluating them against predefined quality criteria for commands, architecture, and conciseness. This skill identifies outdated or missing project documentation and suggests targeted updates to enhance AI context and operational clarity.

Why does my AI model misunderstand my repository's architecture and commands?

Your AI model may misunderstand repository architecture because the CLAUDE.md file lacks accurate project context or contains outdated documentation. Auditing this file ensures non-obvious patterns and commands are clearly documented, preventing common operational misunderstandings during development.

What is the best way to maintain project documentation for AI-assisted development workflows?

The best way to maintain project documentation for AI-assisted development is through iterative refinement of CLAUDE.md files. Regularly auditing them ensures the documentation remains current, actionable, and concise, which directly improves AI performance and developer onboarding.

Can I check if my repository's CLAUDE.md file is missing critical gotchas or patterns?

Yes, you can check for missing critical gotchas or patterns by running an automated audit on your repository. The audit evaluates the CLAUDE.md file against defined criteria to identify undocumented non-obvious patterns and suggests specific improvements.

Does the claude-md-improver skill require any dependencies to run?

No, the claude-md-improver skill does not require any external dependencies to run. It operates directly on your repository to scan and evaluate CLAUDE.md files, providing suggestions for targeted updates without needing additional packages.

When do I need to update the CLAUDE.md file in my codebase?

You need to update the CLAUDE.md file in your codebase when onboarding a new developer, integrating a new AI model, or noticing outdated architecture descriptions. Iterative refinement ensures all project documentation remains accurate, actionable, and complete.