skill-refactor

What problem does it solve?

This meta-skill acts as an autonomous intelligent agent to orchestrate, audit, and evolve the entire skill system. It proactively monitors project health, decomposes complex tasks, learns from execution patterns, and continuously refactors the skill architecture for optimal performance and reusability.

Core Features & Use Cases

• Skill Discovery & Parsing: Automatically finds and extracts metadata and content from all SKILL.md files.
• 5-Layer Analysis: Conducts deep analysis on atomicity, redundancy, composability, state-awareness, and coverage gaps within the skill ecosystem.
• Refactoring Report: Generates a comprehensive Markdown report with findings and actionable recommendations for skill improvement.
• Proactive Awareness: Perceives real-time project state (codebase changes, data freshness, skill-code divergence) and suggests improvements or detects issues.
• Use Case: A user wants to optimize the entire AI skill system. This skill can analyze all existing skills, identify areas of low atomicity or redundancy, propose splitting complex skills, and suggest adding state-awareness to static skills, ultimately improving the system's efficiency and maintainability.

Quick Start

Analyze the entire skill system to generate a refactoring report, identifying areas for improvement in atomicity and redundancy.