Guides the creation of new Claude Code Skills following best practices for structure, content, and discovery.
Provides a comprehensive guide and a set of best practices for creating new, high-quality Claude Code Skills. This skill outlines the standardized structure, including YAML frontmatter and specific markdown sections, to ensure consistency. It details core writing principles like focusing on goals over process, using positive framing, and showing desired patterns through examples. By following this guidance, developers can create effective, token-efficient, and easily discoverable skills that serve as reusable reference guides for AI-assisted coding tasks.
Key Features
0110 GitHub stars
02Defines a standardized skill structure with YAML frontmatter and required sections.
03Includes a quality checklist for reviewing and validating new skills.
04Provides guidelines for token efficiency and optimizing skills for discoverability.
05Outlines core writing principles like 'show, don't tell' and focusing on goals over process.
06Lists common mistakes to avoid, such as over-prescription and showing anti-patterns.
Use Cases
01Creating a new reusable skill for the ai-coding-config repository.
02Refactoring an existing skill to meet current quality and structure standards.
03Onboarding developers who are contributing new skills to the project.
