Skillz
Executes local Anthropic-style skills through directory-based discovery where each skill contains YAML metadata and Markdown instr
Created by Eleanor Berger, this server enables execution of local Anthropic-style skills through a structured directory-based approach. Each skill is defined by a SKILL.md file containing YAML front matter with metadata and Markdown instructions. The server automatically discovers skills, validates their structure, and exposes each as a tool that can either return skill instructions for AI model consumption or execute associated scripts in sandboxed temporary environments. Built with FastMCP and featuring security measures like path traversal prevention and restricted execution environments, it supports configurable payloads including files, arguments, environment variables, and stdin with proper isolation and timeout controls.
Source
Repository: https://github.com/intellectronica/skillz
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