writing-skills

Use TDD for AI agent skill creation by writing tests that enforce documented procedures before finalizing skill behavior. This methodology iteratively refines documentation to ensure agents comply with rules under constraints like time pressure or sunk costs.

Prevent AI agents from bypassing skill rules under time pressure by applying rationalization countermeasures during skill authoring. This involves rigorous testing to identify and close loopholes where agents might skip required steps due to authority or effort constraints.

The best way to ensure agent compliance with documented procedures is through iterative refinement using a test-driven approach. By stress-testing the skill against various pressures, you expose and close loopholes where the agent might deviate from the rules.

Test-driven skill development works for complex agent behaviors like code review by verifying the process is strictly followed. It addresses challenges such as time constraints and sunk costs, ensuring agents do not skip review steps.

Apply rationalization countermeasures during skill editing when agents might bypass rules under pressures like authority influence or sunk costs. These countermeasures expose loopholes through targeted testing, ensuring strict adherence to the documented workflow.

Your AI agent skips steps in a workflow despite clear documentation because it finds loopholes under pressures like time constraints or sunk costs. Using a test-driven refinement approach identifies and closes these rationalization gaps.