ZES-writing-skills

TDD for agent documentation uses a RED-GREEN-REFACTOR cycle to write and verify skill documents. You first define a failing pressure scenario, then write the minimal documentation required to ensure the agent reliably complies with complex workflows.

Agents break rules under pressure due to rationalization, bypassing instructions when facing conflicting inputs. Countermeasures using a TDD methodology identify and block these rationalizations, ensuring documentation is robust against pressure-induced failure.

Standardizing AI agent skills requires applying a Test-Driven Development methodology to process guides. This approach enforces discipline-enforcing rules and mental models through a structured verification cycle, guaranteeing agents follow technical techniques consistently.

You need a test-driven approach for agent skills documentation when creating or updating complex workflows that require strict compliance. It ensures your technical techniques and discipline-enforcing rules hold up against agent rationalization and pressure-induced failure.

Yes, you can update existing agent skills using TDD methodology. Applying the RED-GREEN-REFACTOR cycle to current documentation verifies its robustness and integrates rationalization countermeasures to prevent future rule-breaking under pressure.

Standard agent documentation without TDD often fails under pressure, allowing agents to rationalize rule-breaking. It lacks a structured verification cycle to test against failure scenarios, resulting in inconsistent compliance with complex workflows.