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claude-md-improver

Audit CLAUDE.md files and generate quality reports with targeted updates.

Updated Mar 2, 2026
Search Tags:#documentation#ai context#developer productivity#claude.md#codebase management#repository audit
One-click install
npx skills add https://github.com/DMT123/claude-skills-collection --skill claude-md-improver-dmt123
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: claude-md-improver
Source: https://github.com/DMT123/claude-skills-collection/tree/main/plugins/claude-md-management/claude-md-improver
Command: npx skills add https://github.com/DMT123/claude-skills-collection --skill claude-md-improver-dmt123

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, thereby improving AI-driven development workflows.

Core Features & Use Cases

  • Automated Auditing: Scans repositories to evaluate the quality of CLAUDE.md files against defined criteria.
  • Targeted Improvements: Identifies specific areas for enhancement, such as missing commands, outdated architecture descriptions, or undocumented gotchas.
  • Use Case: A developer joins a new project and needs to quickly understand its build process, testing procedures, and common pitfalls. This Skill can audit the project's CLAUDE.md and suggest improvements to make it a more effective guide.

Quick Start

Run the claude-md-improver skill to audit all 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 optimize CLAUDE.md files to provide better AI context for my codebase?▼

To optimize CLAUDE.md files for better AI context, audit your repository against predefined criteria to generate a detailed quality report, then apply targeted updates for missing commands, architecture details, and non-obvious patterns to improve AI-driven development workflows.

What should a CLAUDE.md file include for accurate project memory and repository management?▼

A CLAUDE.md file should include accurate build commands, testing procedures, architecture descriptions, and undocumented gotchas to provide comprehensive project memory, ensuring AI models receive the correct repository context needed for development.

How do I audit my repository for missing or outdated AI context documentation?▼

You can audit your repository for outdated AI context documentation by scanning for CLAUDE.md files, evaluating their quality against predefined criteria, and identifying specific areas for enhancement like missing commands or non-obvious patterns.

Can I use automated auditing to maintain CLAUDE.md files for developer productivity?▼

Yes, automated auditing facilitates CLAUDE.md maintenance by scanning repositories to evaluate file quality, generating detailed reports, and suggesting targeted improvements to enhance developer productivity and project context.

What's the best way to document non-obvious codebase patterns for AI models?▼

The best way to document non-obvious codebase patterns for AI models is to run a targeted evaluation on your CLAUDE.md files, which identifies undocumented gotchas and suggests specific updates to optimize project memory.

When do I need to update CLAUDE.md files in my development workflow?▼

You need to update CLAUDE.md files when a developer joins a new project, when build processes change, or when common pitfalls emerge, ensuring the documentation continues to provide accurate AI context for ongoing development workflows.

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