Applies Test-Driven Development principles to create, verify, and optimize reusable Claude Code skills.
This skill provides a rigorous framework for authoring and maintaining Claude Code skills by treating documentation as code. It leverages a specialized Red-Green-Refactor cycle to ensure every skill is necessary, effective, and properly followed by AI agents. By focusing on Claude Search Optimization (CSO) and token efficiency, it helps developers build a library of high-performance guidance that improves agent autonomy and accuracy across diverse technical tasks.
Key Features
01Pressure testing guidelines for verifying agent compliance
02Red-Green-Refactor workflow for documentation verification
030 GitHub stars
04Token-efficient documentation patterns to minimize context usage
05Claude Search Optimization (CSO) for improved skill discovery
06Standardized SKILL.md structure with YAML frontmatter support
Use Cases
01Creating searchable reference guides for complex internal APIs
02Refactoring existing skills to fix agent compliance loopholes
03Establishing standardized coding patterns for team-wide AI usage
