Standardizes the creation of Claude Code skills using a Test-Driven Development (TDD) approach to ensure AI compliance and documentation accuracy.
This skill adapts the fundamental Red-Green-Refactor cycle of Test-Driven Development to the process of writing AI documentation and agent skills. It guides users through creating pressure scenarios to identify baseline AI failures, drafting documentation to solve specific issues, and verifying compliance through rigorous testing. By focusing on 'Use when' triggers and Claude Search Optimization (CSO), it ensures that AI agents consistently reference full documentation rather than relying on brief, potentially misleading summaries, leading to more reliable and maintainable AI skillsets.
주요 기능
01Claude Search Optimization (CSO) best practices
02Red-Green-Refactor documentation workflow
03Standardized SKILL.md frontmatter and structure
04Token-efficient documentation patterns
05Pressure-test validation for agent compliance
060 GitHub stars
사용 사례
01Refining existing AI documentation to improve agent adherence
02Creating new specialized capabilities for Claude Code or Codex
03Standardizing team-wide patterns and technical reference guides