skills-mcp
MCP server that lets any AI agent discover, search, and install ~7,000 agent skills from across the GitHub ecosystem (Anthropic, Superpowers, wshobson, antigravity, Composio, and more).
Install / Use
claude mcp add gengirish -- npx -y github:gengirish/skills-mcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of skills-mcp
skills-mcp scores 84/100 on our quality scale, 2845th of 4,596 Development & Engineering skills we index.
Its MCP Server is 15 KB long, well organised into 29 sections with 18 code examples: a thorough specification that gives an agent plenty to work with.
It has 10 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated today, so skills-mcp is actively maintained.
- Our last check on 2026-09-25 found the source still online.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 85/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
skills-mcp compared with similar skills
All 4 of these similar skills score higher than skills-mcp; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| skills-mcp (this skill)by gengirish | 84 | 10 | today | MCP Server |
| Agent-Reachby Panniantong | 100 | 97.7k | today | CLAUDE.md |
| taste-skillby Leonxlnx | 100 | 97.2k | 1d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 75.4k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.4k | today | CLAUDE.md |
Frequently asked questions
- How do I install skills-mcp?
- Run
claude mcp add gengirish -- npx -y github:gengirish/skills-mcp. The install tabs above show the steps for each supported agent. - Which AI agents does skills-mcp work with?
- It is written for Claude Code, Claude Desktop and Cursor, as a MCP Server file. Other agents that read the same format can often use it too.
- Is skills-mcp safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It declares no license and scores 85/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is skills-mcp still maintained?
- The repository was last updated today, so skills-mcp is actively maintained.
Skill content
View source on GitHubskills-mcp
An MCP server that lets any AI agent discover, search, and install 9,000+ agent skills from across the GitHub ecosystem (Anthropic, Superpowers, wshobson, antigravity, Composio, antfu, TerminalSkills, and more).
skillsmcp.intelliforge.tech — browse the catalog and the install steps in the browser.
<p align="center"> <img src="https://raw.githubusercontent.com/gengirish/skills-mcp/main/assets/demo.svg" alt="Terminal demo: the user asks their agent to find a Stripe skill and install it. The agent calls search_skills, gets 5 matches out of the full catalog, fetches the SKILL.md, and installs it into ~/.cursor/skills/adding-stripe/." width="820"> </p> <p align="center"> <sub>Scripted terminal recreation — every result, count and path in it is real <code>skills-mcp</code> output.<br> Also available as <a href="assets/demo.gif">GIF</a> and <a href="assets/demo.mp4">MP4</a>.</sub> </p>Why
Agent skills — the SKILL.md packages that teach Cursor, Claude Code and friends how to do one
specific job well — are scattered across a dozen unrelated GitHub repos. Anthropic publishes a
handful. Superpowers, wshobson, antigravity, Composio, TerminalSkills and others publish thousands
more. There is no index, no search, and no install path: you find a skill by already knowing which
repo it lives in, then copy a folder by hand. skills-mcp collapses that into one MCP server —
9,000+ skills from 11 repos, searchable from inside your editor and installable in a single tool
call.
What it does
The Model Context Protocol (MCP) lets editors like Cursor, Claude Desktop, Claude Code, Cline, Continue, Windsurf, and OpenCode plug in external tool providers. This server provides:
| Tool | Purpose |
|---|---|
| search_skills | Free-text + faceted search (domain / repo / tier) |
| get_skill | Fetch the full SKILL.md content from upstream GitHub |
| recommend_skills | "I want to add Stripe to Next.js" → ranked skill suggestions |
| list_domains | All 20 logical domains with skill counts |
| list_repos | All source repositories with counts and links |
| install_skill | Download a skill folder into your IDE's skills directory |
| catalog_stats | Versions, generation time, totals |
Plus a resource (skills://catalog) exposing the full JSON index.
Quick stats
| | |
|---|---|
| Skills indexed | |
| Source repositories | 11 |
| Logical domains | 20 (testing, security, devops, ai-ml, frontend, backend, data, marketing, docs, …) |
| Top domain | AI/ML/LLM (6,991 skills) |
| Top repo | antigravity-awesome-skills (6,308 skills) |
Counts are from the catalog build on 2026-08-03 and grow with the daily refresh — catalog_stats
always reports the live figure.
The catalog is built directly from upstream GitHub repos (no local clones needed) by scripts/build-catalog.mjs and shipped inside the npm package — so search_skills has zero network latency. get_skill and install_skill fetch live from GitHub on demand.
Installation
Install it once, globally. Every config below then points at the skills-mcp binary:
npm i -g @gengirish/skills-mcp
skills-mcp
# [skills-mcp] v1.0.1 ready · 9324 skills · 11 repos
It then waits on stdin for JSON-RPC, which is what your client speaks. Ctrl-C to exit.
Why not
npx -y @gengirish/skills-mcp? It works, butnpxre-resolves the package on every launch — measured at ~13s to reach the ready banner versus ~0.5s for the installed binary. Several MCP clients give a server less than that to complete the handshake and will report the server as failed to connect. Usenpxonly for a one-off try; install globally for anything you actually use.
Cursor
Edit ~/.cursor/mcp.json (or per-project .cursor/mcp.json):
{
"mcpServers": {
"skills": {
"command": "skills-mcp"
}
}
}
Restart Cursor. The agent will auto-discover the tools.
Claude Desktop
Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"skills": {
"command": "skills-mcp"
}
}
}
Claude Code (CLI)
claude mcp add skills -- skills-mcp # macOS / Linux
claude mcp add skills -- cmd /c skills-mcp # Windows
The -- is required. Without it claude mcp add parses the rest as its own flags and fails with
error: unknown option. On Windows the cmd /c wrapper is needed because the global npm binary is
a .cmd shim. Add -s user to register it for every project instead of just the current one.
Check it took:
claude mcp list # skills: ... - ✓ Connected
Cline (VS Code extension)
In Cline's settings → MCP Servers, add:
{
"skills": {
"command": "skills-mcp"
}
}
Continue
In ~/.continue/config.yaml:
mcpServers:
- name: skills
command: skills-mcp
Windsurf / OpenCode / others
Any MCP-compatible client: spawn skills-mcp over stdio.
Optional: avoid GitHub rate limits
get_skill and install_skill hit GitHub. Anonymous = 60 req/hr, authenticated = 5,000 req/hr. Set:
{
"mcpServers": {
"skills": {
"command": "skills-mcp",
"env": { "GITHUB_TOKEN": "ghp_…[redacted]" }
}
}
}
A token with no scopes (read-only public access) is sufficient.
Usage examples
Once installed, talk to your agent naturally:
"Use the skills tool to find me skills related to Stripe payments."
"Recommend skills for building a Next.js app with auth and a Postgres database."
"Install the systematic-debugging skill into my Cursor."
"Show me everything tagged 'security' from the wshobson repo."
The agent will call the appropriate tool and act on the results.
Direct tool calls (for power users / scripts)
{
"tool": "search_skills",
"arguments": { "query": "kubernetes deploy", "domain": "devops", "limit": 5 }
}
{
"tool": "install_skill",
"arguments": {
"id": "anthropic-skills/skills/skill-creator/SKILL.md",
"ide": "cursor"
}
}
ide accepts: cursor (default), claude-code, claude, codex, windsurf, opencode, or custom (with explicit target_dir).
Source repositories indexed
| Repo | Skills | Tier | |---|---:|---| | zebbern/antigravity-awesome-skills | 6,308 | Mega bundle | | TerminalSkills/skills | 1,016 | Cross-tool | | ComposioHQ/awesome-claude-skills | 864 | Curated | | alirezarezvani/claude-skills | 798 | Production teams | | wshobson/agents | 180 | Plugin marketplace | | spencerpauly/awesome-cursor-skills | 65 | Cursor-native | | obra/superpowers-skills | 31 | Framework | | antfu/skills | 19 | Curated | | anthropics/skills | 18 | Official | | obra/superpowers | 14 | Framework | | gmh5225/awesome-skills | 8 | Curated |
Domains
Each skill is automatically tagged into one or more of:
testing · debugging · security · devops · data · ai-ml · frontend · mobile · backend · documents · git-collab · performance · design · marketing-content · business-pm · automation · meta-skills · documentation · blockchain · other
Tagging rules live in scripts/classify.mjs (shared by the catalog builder and the Explorer UI's adapter).
Local development
git clone https://github.com/gengirish/skills-mcp
cd skills-mcp
npm install
GITHUB_TOKEN=ghp_xxx npm run build:catalog # ~5–10 min first time
npm run build # compile TS
npm run inspect # MCP Inspector
node scripts/smoke-test.mjs # JSON-RPC smoke test
A fine-grained PAT with public-repo read access is enough. Without it, GitHub limits unauthenticated requests to 60 req/hr — the build will still work for tiny subsets via --only=… but won't complete a full refresh.
Project layout:
skills-mcp/
├── src/
│ ├── index.ts # MCP server (tools + resources)
│ ├── catalog.ts # JSON catalog loader
│ ├── search.ts # Fuse.js fuzzy search + filters
│ └── fetcher.ts # GitHub raw + API download logic
├── scripts/
│ ├── build-catalog.mjs # GitHub-native catalog builder
│ ├── classify.mjs # shared domain classification rules
│ ├── smoke-test.mjs # JSON-RPC stdio smoke test
│ ├── test-install.mjs # end-to-end install test
│ ├── make-demo.mjs # README demo (animated SVG + GIF/MP4 frames)
│ └── make-social.mjs # 1280x640 social preview card
├── sources.json # declarative list of upstream repos + globs
├── .cache/ # per-repo SHA-keyed cache (gitignored)
├── assets/ # demo.svg / demo.gif / demo.mp4 / social-preview.*
├── data/
│ └── catalog.json # generated, ~5 MB (committed)
└── dist/ # tsc output (published)
Regenerating the marketing assets
Both generators are dependency-free and emit SVG:
node scripts/make-demo.mjs # -> assets/demo.svg (animated, 20s loop)
node scripts/make-social.mjs # -> assets/social-preview.svg
demo.svg degrades gracefully: where CSS animation doesn't run, it renders the finished transcript
instead of an empty window. To refresh the raster copies (needs ffmpeg):
node scripts/make-demo.mjs --frames # assets/.frames/*.svg
npx @resvg/resvg-js-cli assets/social-preview.svg assets/social-preview.png
# rasterise .frames to PNG, then:
ffmpeg -framerate 10 -i png/f%04d.png -i palette.png \
-lavfi "[0:v]mpdecimate=hi=200:lo=100:frac=0.005[d];[d][1:v]paletteuse=dither=none:diff_mode=rectangle" \
-vsync vfr -loop 0 -final_delay 450 assets/demo.gif
The mpdecimate + -vsync vfr pass collapses the static holds into single long frames — it takes
the GIF from ~4 MB to ~316 KB with no visible change.
Refreshing the catalog
# Incremental: only fetches repos whose HEAD SHA changed.
GITHUB_TOKEN=ghp_xxx npm run build:catalog
# Full refetch (ignore .cache/):
GITHUB_TOKEN=ghp_xxx npm run build:catalog -- --force --report
# A single repo:
npm run build:catalog -- --only=anthropic-skills
# Include the giant aggregator (~227k entries; very slow):
npm run build:catalog -- --include-registry
Adding a new source: append an entry to sources.json with {key, owner, repo, branch, label, tier, upstream, include}. Re-run npm run build:catalog and the new repo'
Truncated for display — read the full file on GitHub.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
