What problem does it solve? Writing documentation for AI agents often fails because untested instructions get rationalized away under pressure. This Skill applies test-driven development to skill authoring so you can verify agents actually comply before deployment. ## Core Features & Use Cases - TDD-Based Skill Authoring: Run baseline pressure scenarios with subagents (RED), write the skill addressing observed failures (GREEN), then close rationalization loopholes (REFACTOR). - Discovery Optimization: Guidance for Claude Search Optimization, including description writing rules, keyword coverage, naming conventions, and token efficiency targets. - Testing Methodology: Detailed reference for building multi-pressure scenarios, rationalization tables, red flag lists, and meta-testing techniques. - Use Case: When creating a new discipline-enforcing skill like TDD or verification-before-completion, run baseline scenarios without the skill, document verbatim rationalizations, then iterate until agents comply under maximum pressure. ## Quick Start Use the writing-skills skill to create a new skill for my agent following the test-driven development process.