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, ensuring new skills actually change agent behavior 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). - Skill Discovery Optimization: Guidance on writing descriptions, keywords, and naming so future agents can find and trigger the skill correctly. - Testing Methodology: Includes references for pressure scenario design, persuasion principles, and Anthropic's official authoring best practices. - Use Case: When creating a new discipline-enforcing skill like TDD or verification-before-completion, use this Skill to test it against combined pressures (time, sunk cost, authority) before deploying it. ## Quick Start Use the writing-skills skill to create a new agent skill and verify it works under pressure scenarios before deployment.