What is a Claude Code Skill?

A Claude Code Skill is a specialized capability that enhances Claude's behavior during specific tasks by providing domain-specific guidance, implementation patterns, and best practices.

Why isn't my Claude Code skill being invoked?

Common issues include vague descriptions or missing trigger keywords. This validator helps you audit your YAML frontmatter to ensure Claude knows exactly when to use your skill.

Does this tool help with cross-model compatibility?

Yes, it provides a testing workflow to verify that your skill works consistently across Claude Haiku, Sonnet, and Opus models.

When should I split a skill into multiple files?

The Skill Quality Validator recommends splitting a skill into a directory structure (with EXAMPLES.md, scripts, etc.) if the primary SKILL.md exceeds 500 lines.

Skill Quality Validator

Name: Skill Quality Validator
Author: edmundmiller

byedmundmiller

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Developer Tools

Validates Claude Code skills against best practices for structure, content quality, and invocation effectiveness.

About

The Skill Quality Validator provides a comprehensive framework for creating, reviewing, and debugging Claude Code skills. It ensures your specialized capabilities follow optimal patterns for file structure, terminology consistency, and model invocation. By utilizing standardized checklists and validation criteria, it helps developers build skills that are highly effective across different Claude models while maintaining clear, actionable documentation and robust error handling.

Key Features

40 GitHub stars
Best practices for concrete, runnable code examples and scripts
Diagnosis and troubleshooting for skill invocation issues
Guidance on progressive disclosure and optimal file organization
Model-specific testing protocols for Haiku, Sonnet, and Opus
Automated validation checklists for skill structure and metadata

Use Cases

Preparing internal skills for public sharing or repository publication
Auditing existing skills for performance, reliability, and discoverability
Creating a new domain-specific skill from scratch with correct formatting

About

Key Features

40 GitHub stars
Best practices for concrete, runnable code examples and scripts
Diagnosis and troubleshooting for skill invocation issues
Guidance on progressive disclosure and optimal file organization
Model-specific testing protocols for Haiku, Sonnet, and Opus
Automated validation checklists for skill structure and metadata

Use Cases

Preparing internal skills for public sharing or repository publication
Auditing existing skills for performance, reliability, and discoverability
Creating a new domain-specific skill from scratch with correct formatting