Applies Test-Driven Development principles to the creation and refinement of process documentation to ensure reliable AI compliance.
This skill streamlines the development of high-quality Claude Code skills by treating documentation as production code. It follows a strict Red-Green-Refactor cycle where users define pressure scenarios, observe baseline AI failures, and iteratively close logic loopholes until the skill is bulletproof against agent rationalization. By focusing on Claude Search Optimization (CSO) and token efficiency, it ensures that reference guides are discoverable, concise, and effectively guide agent behavior across diverse technical domains.
Key Features
011 GitHub stars
02Claude Search Optimization (CSO) for improved skill discovery
03Token efficiency patterns to minimize context usage