What problem does it solve? Writing documentation-style skills 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 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: Rules for writing name and description frontmatter, keyword coverage, token efficiency, and cross-referencing so agents can find the skill. - Testing methodology references: Includes guides for pressure-scenario testing, persuasion principles for discipline-enforcing skills, Anthropic's official best practices, and a graphviz diagram renderer. - Use Case: Before publishing a new TDD-enforcement skill, run a scenario where an agent has sunk cost and time pressure, document its verbatim rationalizations, then bulletproof the skill against each excuse. ## 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 SKILL.md content.