writing-skills

TDD for AI skills enforces a Red-Green-Refactor cycle during skill authoring to ensure documentation is robust, discoverable, and resistant to rationalization. You write failing test scenarios first, then craft the skill, and finally refactor it.

To create an AI skill using TDD, follow the Red-Green-Refactor testing phases: write failing test scenarios first, develop the skill to pass those tests, and refactor the documentation to ensure compliance under pressure.

To prevent AI agents from rationalizing instructions, apply bulletproofing techniques during the Refactor phase of TDD skill authoring. This closes loopholes and ensures agents adhere to best practices even under pressure.

Yes, you can use TDD to edit existing AI skills. The methodology applies to both creating new skills and refining existing ones by verifying their compliance and documentation standards under pressure.

The best way to verify an AI skill's compliance under pressure is by adhering to specific TDD testing phases (RED, GREEN, REFACTOR). This framework ensures the skill's documentation is robust and resistant to misuse.