nobody-writes-skills

Test-Driven Development for AI skills applies a RED-GREEN-REFACTOR cycle to ensure functional correctness. You first define failure scenarios, implement the skill to pass those tests, and then refine it to close loopholes in the process documentation.

To ensure a custom AI skill meets defined use cases, use a structured verification process that tests the agent against failure scenarios before and after implementation. This iterative development approach guarantees robust skill authoring and functional correctness.

Yes, the RED-GREEN-REFACTOR cycle facilitates process documentation by requiring structured scenario definition before implementation. This methodology documents the exact failure points and the subsequent refactoring steps taken to achieve robust skill authoring.

To close loopholes in a newly created AI skill, apply an iterative refactoring process during the final stage of the development cycle. This involves continuously testing against previously defined failure scenarios to ensure functional correctness and prevent edge-case bypasses.

Yes, you need to define failure scenarios before writing a new AI skill to demonstrate the agent's failure without the skill. This establishes a baseline for verification and ensures the subsequent implementation directly addresses the defined use cases.