What problem does it solve?
This Skill addresses the challenge of creating clear, effective, and robust documentation for AI agents. It prevents the deployment of unclear or untested instructions that lead to agent confusion, errors, and rework, ensuring that skills are bulletproof against rationalization and misinterpretation.
Core Features & Use Cases
- Test-Driven Documentation (TDD): Applies the RED-GREEN-REFACTOR cycle to skill creation, ensuring documentation is validated against agent behavior.
- Rationalization Bulletproofing: Provides techniques to close loopholes and prevent agents from finding excuses to deviate from instructions.
- Skill Structure & Optimization: Guides on organizing
SKILL.md content, optimizing for Claude Search Optimization (CSO), and managing token efficiency.
- Use Case: When developing a new skill, use this guide to ensure it's thoroughly tested with subagents, preventing ambiguity and ensuring consistent, desired behavior from the AI.
Quick Start
To create a new skill, first, define pressure scenarios for a subagent to test without the skill. Document the subagent's failures and rationalizations. Then, write the skill to address these specific issues, and re-test until the subagent complies.