What problem does it solve? Writing documentation-style skills for AI agents often produces instructions that agents ignore or misinterpret under pressure. This Skill applies test-driven development to skill authoring so every skill is verified against real agent behavior before deployment. ## Core Features & Use Cases - TDD-Based Skill Authoring: Run baseline pressure scenarios with subagents (RED), write the skill to address observed failures (GREEN), then close rationalization loopholes (REFACTOR). - Discovery Optimization: Guidance on writing descriptions, keywords, and naming so future agents can find the skill when it matters. - Testing Methodology: Includes pressure-scenario design, rationalization tables, red-flag lists, and persuasion principles for bulletproofing discipline-enforcing skills. - Use Case: You want to create a new skill that forces agents to verify work before completion. Use this Skill to first watch a subagent skip verification under time pressure, then write targeted counters and re-test until compliance holds. ## Quick Start Ask the agent to use the writing-skills skill to create a new skill for your chosen technique, starting with a baseline pressure scenario before writing any documentation.
