Skill Authoring TDD

关于

This skill adapts the rigorous Red-Green-Refactor cycle to the creation of Claude Code skills, ensuring that documentation effectively guides AI agents in real-world scenarios. By requiring authors to observe an agent failing a task before writing the skill, it eliminates guesswork and ensures that instructions directly address specific failure modes and logic gaps. It provides a standardized framework for building robust, token-efficient, and highly discoverable reference guides that enhance Claude's capabilities across any project.

主要功能

• Standardized directory and frontmatter structures
• Red-Green-Refactor workflow adapted for documentation
• Pressure-testing strategies using subagent scenarios
• Claude Search Optimization (CSO) for better skill discovery
• Token-efficient formatting and progressive disclosure patterns
• 0 GitHub stars

使用场景

• Developing new reusable technical patterns for Claude Code
• Verifying that documentation actually influences agent behavior before deployment
• Refactoring existing workflows to be more concise and token-efficient