writing-skills

To apply TDD to AI skill development, you define failing test cases and pressure scenarios using subagents before writing the skill. This RED-GREEN-REFACTOR cycle ensures the skill documentation is robust and only written to pass the predefined tests.

To prevent agent rationalization, you must define specific pressure scenarios and failing test cases before writing the skill. This approach explicitly closes loopholes by testing the agent against rationalization scenarios and refining the documentation until compliance is achieved.

The RED-GREEN-REFACTOR cycle for process documentation involves defining failing test cases with subagents (RED), writing the skill documentation to pass those tests (GREEN), and refining it to close loopholes (REFACTOR), ensuring robust agent behavior under pressure.

Yes, you need an understanding of Test-Driven Development principles and agent pressure scenarios. Effective implementation requires defining failing test cases with subagents before writing the skill to ensure documentation is resistant to rationalization.

The best way to bulletproof skill documentation is to define failing test scenarios where an agent might bypass rules, write the skill to pass those tests, and explicitly address rationalizations. This ensures reliability before the skill is finalized.

You should avoid using a test-driven approach for skill creation if you cannot define clear pressure scenarios or lack understanding of TDD. Without the ability to create failing test cases with subagents, the documentation cannot be effectively validated against loopholes.