claude-md-improver

To audit CLAUDE.md files, the skill scans for CLAUDE.md, .claude.md, and .claude.local.md files, evaluates their quality against predefined criteria, generates a detailed report, and applies targeted updates upon user confirmation to enhance AI project context.

CLAUDE.md project memory optimization ensures AI models have up-to-date and comprehensive codebase context. It is needed when onboarding new developers or when project structure evolves, preventing outdated information from degrading AI assistance quality.

You can update outdated CLAUDE.md documentation by running an automated scan that evaluates file quality, identifies gaps, and provides specific, actionable recommendations to make targeted updates reflecting the current state of the codebase.

The CLAUDE.md audit does not apply changes automatically. It generates a detailed report with targeted improvement recommendations and only applies the updates to your repository after receiving your explicit user confirmation.

Yes, the scan supports auditing multiple project memory files. It automatically searches for and evaluates CLAUDE.md, .claude.md, and .claude.local.md files within the repository to ensure comprehensive documentation maintenance.

Automated CLAUDE.md codebase management relies on predefined quality criteria to evaluate files. It requires user confirmation before applying updates, meaning manual review of generated recommendations is still necessary to ensure accurate project context alignment.