claude-md-improver

Audit CLAUDE.md files and apply targeted updates after user approval.

Updated Feb 18, 2026
One-click install
npx skills add https://github.com/nakaj1214/trader --skill claude-md-improver-nakaj1214
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: claude-md-improver
Source: https://github.com/nakaj1214/trader/tree/main/.claude/skills/claude-md-management
Command: npx skills add https://github.com/nakaj1214/trader --skill claude-md-improver-nakaj1214

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 documentation within CLAUDE.md files, ensuring AI models have optimal project context for accurate and efficient assistance.

Core Features & Use Cases

  • Automated Auditing: Scans all CLAUDE.md files in a repository to evaluate their quality against defined criteria.
  • Quality Reporting: Generates a detailed report summarizing findings, scores, and specific issues for each file.
  • Targeted Improvement: Proposes and applies specific, concise updates to CLAUDE.md files based on the audit, focusing on commands, architecture, gotchas, and currency.
  • Use Case: When onboarding a new developer or starting a complex task, use this Skill to ensure the project's CLAUDE.md files accurately reflect the current codebase, commands, and potential pitfalls, saving significant time and reducing errors.

Quick Start

Run the claude-md-improver skill to audit all CLAUDE.md files in the current repository and receive a quality report.

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 in my codebase?

To audit and improve CLAUDE.md files, run the skill to scan all project files, evaluate quality against documentation criteria, generate a detailed report, and apply targeted updates after user approval to enhance AI project context.

Why does my AI assistant lack accurate project context when working in my repository?

Your AI assistant lacks accurate project context because CLAUDE.md files may be outdated or incomplete. Auditing these files ensures they accurately reflect current commands, architecture, gotchas, and codebase state for optimal AI assistance.

What is the best way to maintain project memory for AI coding assistants?

The best way to maintain project memory is to regularly audit CLAUDE.md files against defined documentation criteria, generating quality reports and applying concise updates to capture commands, architecture, and potential pitfalls.

Can I review proposed changes before my CLAUDE.md files are updated?

Yes, you can review proposed changes before your CLAUDE.md files are updated. The skill generates a detailed quality report first and applies targeted improvements only after explicit user approval.

What specific issues should I check for when updating CLAUDE.md documentation?

When updating CLAUDE.md documentation, check for issues related to commands, architecture, gotchas, and currency. The skill assesses these specific areas to ensure documentation remains accurate and actionable for AI context.

Does auditing CLAUDE.md files work for onboarding new developers?

Yes, auditing CLAUDE.md files works effectively for onboarding new developers. It ensures project documentation accurately reflects the current codebase, commands, and potential pitfalls, saving time and reducing errors during onboarding.