SkillMCP

SkillMCP

Serves project-specific skills and behavioral rules to AI agents via MCP, enabling automatic injection of behavioral rules and on-demand knowledge for coding assistants like Claude Code and Gemini CLI.

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README

SkillMCP

Serves project-specific skills and behavioral rules to AI agents via MCP.

Works with Claude Code, Gemini CLI, Cursor, and Antigravity.

Pairs well with LearnSkill (behavioral auditing) and claude-mem (long-term memory).


Quick Start

cd /path/to/project
skills-mcp init .    # scaffold .agents/ skills

Restart your agent host to pick up the new skills.


How it works

Injects knowledge into every agent session automatically via the MCP instruction block.

AGENT.md — behavioral rules

Markdown files injected into the system prompt at session start. All sources are combined; none are dropped.

Source Location
Bundled (SkillMCP install) <skillmcp>/.agents/AGENT.md
Configured agent folders AGENT.md in each agent_folders entry

Skills — on-demand knowledge

Markdown skill files the agent fetches with list_skills / read_skill as needed. Later entries in agent_folders win on name collision.

Source Location
Bundled (SkillMCP install) <skillmcp>/.agents/skills/
Configured agent folders skills/ subdir of each agent_folders entry

Setup

  1. Install

    cd SkillMCP && uv sync
    
  2. Initialize

    skills-mcp init .
    
  3. Configure Edit skillmcp.toml to add agent folders. Last entry wins on collision.

    agent_folders = [
        "/path/to/shared/agents",
        ".agents/",
    ]
    

    Each agent folder can contain:

    • AGENT.md — behavioral rules injected into every session (all folders combined)
    • skills/ — skill library scanned for list_skills / read_skill

Telemetry & Metrics

SkillMCP automatically tracks usage metrics to build a scalable dataset of agent behavior and skill utilization. Telemetry data is persisted to telemetry.json in your project root.

Telemetry Dataset (telemetry.json)

Tracks sessions, tool counts, and skill access leaderboards:

{
  "TotalSessions": 100,
  "TotalSkillCalls": 5,
  "ToolCalls": {
    "verify_setup": 10,
    "list_skills": 12,
    "read_skill": 5,
    "skill_health": 1
  },
  "Skills": [
    { "role-plan": 3 },
    { "role-research": 2 }
  ]
}

Health Diagnostics (skill_health)

The server exposes a health-check tool skill_health that returns details about the server health and the sequence number of the current tool execution:

{
  "status": "healthy",
  "call_number": 5,
  "total_sessions": 100,
  "total_skill_calls": 5,
  "checked_at": "2026-05-17T16:00:00Z"
}

CLI Reference

Command Description
init [path] Scaffold .agents/, skillmcp.toml, AGENT.md, register MCP
doctor Verify directory layout and MCP registration
mcp register Re-register with all agent hosts (Claude, Gemini, etc.)

Troubleshooting

  • Stale Paths: If you move your project, run skills-mcp mcp register from the new location to update absolute paths in the MCP configs.
  • Missing Skills: Run skills-mcp doctor to see exactly which skillmcp.toml is being discovered and how many skills were found.

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