This skill covers integrating GrepAI with Claude Code using the Model Context Protocol (MCP).
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 yoanbernabeu/grepai-skills --skill grepai-mcp-claudeCompatible with
Supported agents
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongrepai-mcp-claudeExecute the skills CLI command in your project's root directory to begin installation:
epx add yoanbernabeu/grepai-skills --skill grepai-mcp-claudeFetches grepai-mcp-claude from yoanbernabeu/grepai-skills 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/grepai-mcp-claude
Restart Cursor to activate grepai-mcp-claude. Access via /grepai-mcp-claudein 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 · 2 shared tags
web-artifacts-builder
anthropics/skills · AI/ML · tag: claude
theme-factory
anthropics/skills · AI/ML · tag: claude
frontend-design
anthropics/skills · AI/ML · tag: claude
pptx
anthropics/skills · AI/ML · tag: claude
mattpocock-git-guardrails-claude-code
mattpocock/skills · devops · tag: claude
Registry listing for grepai-mcp-claude matched our evaluation — installs cleanly and behaves as described in the markdown.
grepai-mcp-claude has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in grepai-mcp-claude — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: grepai-mcp-claude is the kind of skill you can hand to a new teammate without a long onboarding doc.
grepai-mcp-claude is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
grepai-mcp-claude fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend grepai-mcp-claude for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: grepai-mcp-claude is focused, and the summary matches what you get after install.
We added grepai-mcp-claude from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
grepai-mcp-claude reduced setup friction for our internal harness; good balance of opinion and flexibility.
showing 1-10 of 37