Agent skill

mcp-skills

Registry of MCP-derived skills with progressive disclosure. Use when asked about "github", "assistant-ui", "chrome-devtools", "playwright", "shadcn", "undetected-chromedriver", "logfire", "magicui", "livekit", "ToolUI", "generative UI", "chat components", "PR", "issues", "repository", "browser automation", "E2E testing", "screenshot", "console logs", "network requests", "performance tracing", "stealth browser", "bot detection bypass", "web scraping", "observability", "tracing", "exceptions", "Magic UI", "bento-grid", "animations", "voice agents", "real-time audio", "WebRTC", "UI components", "MCP tools", or any converted MCP server. Provides 90%+ context savings compared to native MCP loading.

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Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/mcp-skills

SKILL.md

MCP Skills Registry

Central directory for all MCP-derived skills. Each sub-skill wraps an MCP server with progressive disclosure.

Available Skills

Skill Tools Trigger Keywords
assistant-ui 2 ToolUI, generative UI, chat components, assistant-ui docs
chrome-devtools 26 browser automation, E2E testing, screenshot, console, network, performance, Core Web Vitals
github 26 PR, issues, repository, commits, code search
livekit-docs 7 LiveKit, voice agents, real-time audio, WebRTC, agents SDK, rooms, tracks, Python agents
logfire 4 Pydantic Logfire, observability, tracing, exceptions, spans, logs, SQL queries
magicui 8 Magic UI, React components, animations, bento-grid, marquee, shimmer, particles
mcp-undetected-chromedriver 16 stealth browser, bot detection bypass, web scraping, anti-detection, PDF export
playwright 22 Playwright, browser testing, automation, clicks, forms, screenshots, navigation, tabs
shadcn 7 shadcn/ui, UI components, React components, Tailwind, component registry, examples, button, card, dialog, form, table, accordion, toast

See index.json for the full list, or browse sub-directories.

⚠️ These Are Skill Wrappers, NOT Native MCP Tools

You CANNOT call mcp__shadcn__*, mcp__github__*, etc. directly - those don't exist. These skills wrap MCP servers via a central executor.py.

Usage

Step 1: Read the skill's SKILL.md (from project root):

bash
cat .claude/skills/mcp-skills/<skill-name>/SKILL.md

# Example: shadcn skill
cat .claude/skills/mcp-skills/shadcn/SKILL.md

Step 2: Use the central executor.py (from project root):

bash
# List available skills
python .claude/skills/mcp-skills/executor.py --skills

# List tools in a skill
python .claude/skills/mcp-skills/executor.py --skill github --list

# Get tool schema
python .claude/skills/mcp-skills/executor.py --skill github --describe create_issue

# Call a tool
python .claude/skills/mcp-skills/executor.py --skill github --call '{"tool": "create_issue", "arguments": {...}}'

Context Efficiency

Scenario Native MCP (all servers) This Registry Savings
Idle 40-100k tokens ~150 tokens 99%+
Using 1 skill 40-100k tokens ~5k tokens 90%+
After execution 40-100k tokens ~150 tokens 99%+

How It Works

  1. Registry loads first - This file (~150 tokens)
  2. User requests a tool - e.g., "create a GitHub PR"
  3. Sub-skill loads - Only the relevant skill's SKILL.md (~4k tokens)
  4. Executor runs - External process, 0 context tokens
  5. Result returned - Context drops back to registry only

Adding New Skills

Use the mcp-to-skill-converter skill:

bash
cd .claude/skills/mcp-to-skill-converter
python mcp_to_skill.py --name <server-name>
# Outputs to .claude/skills/mcp-skills/<server-name>/

Skill Structure

The registry has a central executor with per-skill configs:

.claude/skills/mcp-skills/
├── executor.py              # Central executor for ALL skills
├── SKILL.md                 # This registry file
├── index.json               # Skill metadata registry
└── <skill-name>/
    ├── SKILL.md             # Tool documentation
    ├── mcp-config.json      # Server config
    └── package.json         # Dependencies

This registry enables progressive disclosure of MCP servers as Claude Skills.

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