writing-skills

Test-driven development for documentation involves creating test cases first, implementing the skill to pass them, and refactoring to ensure higher quality and fewer mistakes throughout the process.

The TDD approach for writing AI agent skills applies test-driven development principles to documentation, guiding you through creating test cases, implementing the skill, and verifying its effectiveness to reduce errors.

Yes, using this skill development process requires an existing understanding of superpowers:test-driven-development and related skills, as the workflow builds directly upon those foundational TDD principles.

To create and verify new AI agent features step by step, you write test cases for the feature, implement the skill documentation, and then verify its effectiveness using test-driven development principles.

The best way to refine documentation using test-driven development is to iterate through creating test cases, implementing the skill, and refactoring the documentation to systematically eliminate mistakes and improve quality.

You should reconsider using TDD for skill development and documentation if your project lacks clear testing criteria or if you do not have a foundational understanding of test-driven development principles.