What problem does it solve? Writing documentation for AI agents often fails because authors never verify whether agents actually follow the instructions under pressure. This Skill applies test-driven development to skill authoring so every skill is validated against real agent behavior before deployment. ## Core Features & Use Cases - TDD-Based Skill Authoring: Run baseline pressure scenarios without the skill (RED), write the skill addressing observed failures (GREEN), then close rationalization loopholes (REFACTOR). - Discovery Optimization: Guidance for writing descriptions, keywords, and naming so future agents can find the skill via search. - Testing Methodology: Detailed reference for building multi-pressure scenarios with subagents, capturing rationalizations verbatim, and bulletproofing discipline-enforcing skills. - Use Case: You want to create a new skill enforcing code review before commits. You first run scenarios where an agent is tempted to skip review, document its excuses, then write the skill with explicit counters to each rationalization and re-test until compliance holds. ## Quick Start Ask the agent to help you create a new skill using the writing-skills TDD workflow, starting with a baseline pressure scenario before drafting any content.