writing-skills

Test-driven development for AI skill documentation involves writing a failing pressure scenario first, then creating the skill to address that failure, and finally refactoring to close loopholes. This ensures clear, actionable guidance and effective compliance.

The best way to structure process documentation for AI skills is by defining the problem first, applying test-driven development to validate against pressure scenarios, and enforcing correct behavior through continuous refactoring to prevent rationalization.

To test AI skills against pressure scenarios, you write specific failing test cases that attempt to rationalize or bypass rules, then refine the skill documentation until it successfully resists these scenarios and enforces the correct behavior.

Yes, you need to understand TDD principles to create and test process documentation, as the methodology requires defining failure cases first, addressing them with skill documentation, and refactoring to ensure effective compliance.

Creating new skills using TDD requires defining the problem, writing a failing test or pressure scenario, writing the skill to address the failing test, and refactoring the skill to close any loopholes found during testing.

Test-driven development helps maintain clear and actionable process documentation by forcing you to document failure cases first, ensuring the final skill directly addresses known issues and resists rationalization during pressure scenario testing.