iflow-mcp_fkesheh_skill-mcp

# Skill Management MCP Server A Model Context Protocol (MCP) server that enables Claude to manage skills stored in `~/.skill-mcp/skills`. This system allows Claude to create, edit, run, and manage skills programmatically, including execution of skill scripts with environment variables. ## Quick Status **Status:** ✅ Production Ready **Test Coverage:** 86% (145/145 tests passing) **Deployed:** October 18, 2025 **Architecture:** 22-module modular Python package with unified CRUD architecture ## Overview **TL;DR:** Write Python code that unifies multiple skills in one execution - follows [Anthropic's MCP pattern](https://www.anthropic.com/engineering/code-execution-with-mcp) for 98.7% more efficient agents. This project consists of two main components: 1. **MCP Server** (`src/skill_mcp/server.py`) - A Python package providing 5 unified CRUD tools for skill management 2. **Skills Directory** (`~/.skill-mcp/skills/`) - Where you store and manage your skills ## Key Advantages ### 🚀 Unified Multi-Skill Execution (Code Execution with MCP) **Build once, compose everywhere** - Execute Python code that seamlessly combines multiple skills in a single run: ```python # One execution, multiple skills unified! # Imports from calculator, data-processor, and weather skills from math_utils import calculate_average # calculator skill from json_fetcher import fetch_json # data-processor skill from weather_api import get_forecast # weather skill # Fetch weather data weather = fetch_json('https://api.weather.com/cities') # Calculate averages using calculator utilities temps = [city['temp'] for city in weather['cities']] avg_temp = calculate_average(temps) # Get detailed forecast forecast = get_forecast('London') print(f"Average temperature: {avg_temp}°F") print(f"London forecast: {forecast}") ``` **What makes this powerful:** - ✅ **Context-efficient** - Dependencies and env vars auto-aggregated from all referenced skills - ✅ **Composab…