Audit and improve CLAUDE.md files to optimize Claude Code's project context.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add anthropics/claude-plugins-official --skill claude-md-improverCompatible with
Supported agents
Discovers all CLAUDE.md variants (project root, local overrides, package-specific, global defaults) and evaluates each against a quality rubric covering commands, architecture clarity, patterns, conciseness, currency, and actionability
Outputs a detailed quality report with file-by-file scores and specific improvement recommendations before making any changes
Applies targeted, minimal updates only after user
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionclaude-md-improverExecute the skills CLI command in your project's root directory to begin installation:
epx add anthropics/claude-plugins-official --skill claude-md-improverFetches claude-md-improver from anthropics/claude-plugins-official and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/claude-md-improver
Restart Cursor to activate claude-md-improver. Access via /claude-md-improverin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
claude-peers-mcp
aradotso/trending-skills · AI/ML · tag: claude
frontend-design
anthropics/skills · AI/ML · tag: claude
claude-d3js-skill
sickn33/antigravity-awesome-skills · AI/ML · tag: claude
llm-council
am-will/codex-skills · AI/ML · same category
dokie-ai-ppt
myzy-ai/dokie-ai-ppt · AI/ML · same category
pretty-mermaid
imxv/pretty-mermaid-skills · AI/ML · same category
claude-md-improver reduced setup friction for our internal harness; good balance of opinion and flexibility.
claude-md-improver has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for claude-md-improver matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: claude-md-improver is the kind of skill you can hand to a new teammate without a long onboarding doc.
claude-md-improver fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added claude-md-improver from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in claude-md-improver — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for claude-md-improver matched our evaluation — installs cleanly and behaves as described in the markdown.
We added claude-md-improver from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
claude-md-improver fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
showing 1-10 of 60