writing-skills

To document and test AI agent skills effectively, use structured guidelines alongside a Test-Driven Development (TDD) approach to define scenarios, capture rationalizations, and iteratively refine skill validation and compliance.

TDD-inspired skill development for AI is a methodology where you run baseline scenarios to identify failures, implement the skill, and iteratively refine its compliance through rationalization capture and validation testing.

To start creating an AI agent skill using TDD principles, follow structured documentation guidelines, run baseline scenarios to observe failures, implement the skill, and refine its behavior based on observed rationalizations during testing.

Yes, skill testing requires understanding of TDD concepts because the validation process focuses on testing scenarios, rationalization capture, and rationalization analysis to ensure skill compliance and iterative improvement.

Your AI agent skill fails baseline scenario testing because running scenarios without the skill exposes initial failures and rationalizations, which you must then address and refine through iterative testing and structured documentation.