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 verify agents actually comply before deploying. ## 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 on writing descriptions, keywords, and naming so future agents find the skill when it matters. - Bulletproofing Toolkit: Rationalization tables, red flag lists, and persuasion principles to make discipline-enforcing rules resist workarounds. - Use Case: Before deploying a new TDD-enforcement skill, run a scenario where an agent has sunk cost and time pressure, document its excuses verbatim, then write counters for each one. ## Quick Start Ask the agent to create a new skill following the writing-skills TDD process, starting with a baseline pressure scenario before writing any documentation.