Skill Improvement Assistant
Analyzes and refactors Claude Code skills against a 100-point quality rubric to ensure adherence to industry best practices.
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Key features
- Multi-scope auditing across project and global directories
- Health report generation with automated validation scripts
- Automated improvement generation and refactoring
- Korean and English trigger keyword optimization
- 100-point quality rubric evaluation
Use cases
- Creating new skills based on standardized industry best practices and templates
- Auditing a collection of custom AI skills for documentation consistency
- Refactoring existing SKILL.md files to improve tool discovery and trigger accuracy
FAQ
What is the Skill Improvement Assistant for Claude Code?
The Skill Improvement Assistant is a specialized meta-skill designed to analyze, audit, and enhance other Claude Code skills. It evaluates SKILL.md files against a 100-point quality rubric to ensure they are optimized for performance, clarity, and reliability.
How does this skill improve my AI development workflow?
It automates the tedious process of manual skill maintenance. By identifying missing triggers, improper tool usage, or structural flaws, it generates refactored versions of your skills that work more reliably with the Claude Code agent.
Can I audit skills across different directories?
Yes. The assistant supports multi-scope auditing. You can target skills within your current 'project' directory, your 'global' ~/.claude/skills/ folder, or 'all' locations simultaneously using simple command keywords.
How does the 100-point quality rubric evaluate skills?
The rubric scores skills across three main categories: Frontmatter (40 points for metadata and triggers), Content Structure (30 points for clarity and examples), and Best Practices (30 points for file size, error handling, and progressive disclosure).
Does it support multilingual triggers?
Absolutely. The assistant includes specific checks for both English and Korean trigger keywords, ensuring your skills are optimized for international development environments and diverse user inputs.
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