writing-skills

Applying Test-Driven Development to skill creation involves defining baseline failure scenarios first, writing minimal documentation to pass those scenarios, and refactoring to close loopholes. This enforces robust agent behavior through a structured RED-GREEN-REFACTOR cycle.

Bulletproofing process documentation requires using a TDD approach to anticipate rationalizations that lead to non-compliance. You write tests for loopholes, refine the documentation to enforce compliance under pressure, and verify the agent cannot bypass the rules.

Writing compliant AI agent skills requires defining scenarios where an agent might break standards, then writing the skill to enforce it. Refactoring the documentation closes loopholes and ensures the agent maintains compliance under pressure.

Use a TDD cycle for refining documentation when creating new or updated skills that must effectively guide AI agents. It is necessary when you need to ensure robustness and prevent agents from rationalizing their way around established rules.

Yes, defining baseline failure scenarios before writing the rules is the core requirement. Starting with scenarios where an agent might break the standard ensures the minimal documentation you write directly addresses and enforces those specific failures.

AI agents find loopholes in process documentation when it lacks refactoring against new rationalizations. Using a TDD cycle helps close these gaps by continuously testing the documentation against scenarios where the agent attempts to rationalize non-compliance.