writing-skills

You apply TDD to skill authoring by following a RED-GREEN-REFACTOR cycle: write a failing test for the documentation, write the skill to pass it, then refactor to close loopholes. This ensures your AI agent skills are reliable and maintainable.

Test-driven documentation is a development process that uses testing to verify your skill docs are effective and relevant. By validating instructions against expected outcomes, you ensure AI agents interpret and execute the documented skills correctly.

You structure documentation for progressive disclosure by organizing skill content to provide just the right amount of information at the right time. This approach streamlines skill development by preventing information overload during AI agent execution.

Yes, you can use this TDD documentation process for maintaining existing AI skills. It encourages continuous improvement through feedback loops, allowing you to iteratively refine and verify skill behavior during ongoing skill verification processes.

The best way to close loopholes in AI agent skill instructions is through the REFACTOR phase of TDD documentation. After writing the skill to pass tests, you refactor the content to eliminate ambiguities and ensure strict reliability.