What problem does it solve?
Creating high-quality AI skills requires following strict best practices for structure, documentation, security, and trigger design, but most skill creators lack a clear, standardized way to assess their SKILL.md files, leading to skills that fail to activate correctly, have unclear instructions, or pose security risks.
Core Features & Use Cases
- Five-Dimension Quality Scoring: Evaluates SKILL.md files across structure, documentation quality, security compliance, maintainability, and trigger precision with weighted scores out of 100.
- Automatic Gap Diagnosis: Identifies specific weaknesses in your skill file, such as missing trigger words, unclear instructions, or unmarked dependencies.
- Actionable Fix Suggestions: Provides prioritized, specific recommendations to improve your skill's score and performance.
- Use Case: A skill creator building a new travel-planner skill can use this tool to pre-check their SKILL.md before publishing, catching issues like missing trigger phrases that would prevent the skill from activating when users ask for travel itineraries.
Quick Start
Use the skill-quality-analyzer to evaluate the quality of your meeting-notes SKILL.md file and get a prioritized list of improvements to implement.
