writing-skills

To create AI documentation using TDD, you write initial test cases for the expected functionality, observe the failures, and then write the skill document until it passes. This iterative process ensures clarity and effectiveness before deployment.

The best way to verify skill functionality is to apply test-driven development principles by defining pressure scenarios, running the skill to observe failures, and refining the documentation iteratively until all compliance and functional tests pass.

Yes, you need a solid understanding of test-driven development and documentation best practices. The approach requires you to write test cases first and use those failures to guide the creation and refinement of the SKILL.md document.

Test-driven documentation improves skill creation by streamlining the verification process. Writing tests first exposes flaws early, ensuring the final skill document achieves established standards and functional correctness through iterative refinement.

Validating a SKILL.md file requires providing initial pressure scenarios to test the skill's functionality. You observe the failures and iteratively refine the document, ensuring it complies with established standards before deployment.

You should avoid using TDD for writing skills if you lack understanding of test-driven development principles or documentation best practices, as the process relies heavily on writing effective test cases to guide document creation.