Create and refine AI Skills using a RED-GREEN-REFACTOR test-driven cycle.
npx skills add https://github.com/Fancu1/dotfile --skill writing-skills-fancu1
Please help me install this Agent Skill. Skill: writing-skills Source: https://github.com/Fancu1/dotfile/tree/main/skills/writing-skills Command: npx skills add https://github.com/Fancu1/dotfile --skill writing-skills-fancu1
This Skill provides a rigorous, test-driven framework for creating and refining AI Skills, ensuring they are discoverable, effective, and robust against common failure modes.
Follow the RED-GREEN-REFACTOR process outlined in this skill's documentation to create a new skill.
High-intent search queries and answers about installing and using this skill.
TDD for AI skill development applies a strict RED-GREEN-REFACTOR cycle: write baseline tests first, create minimal skill logic to pass, then refactor to close loopholes. This ensures skills remain compliant and robust against failure modes.
Preventing AI rationalization requires pressure testing during skill creation. By simulating real-world pressures like time or sunk cost, you write skills that explicitly counter rationalizations for bypassing documented rules and processes.
Pressure testing improves AI compliance by simulating real-world constraints like time, sunk cost, and authority. This verifies that the skill enforces documented processes and resists bypassing rules under simulated stress.
Yes, you can apply the RED-GREEN-REFACTOR cycle to refactoring existing AI skills. It involves establishing baseline tests, writing minimal updates, and refactoring to close loopholes, ensuring continued compliance under pressure.
Yes, baseline testing is required to ensure your AI skill is discoverable and effective. It provides the initial RED phase in the TDD cycle, validating requirements before minimal skill writing and refactoring begin.
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