Enforce a test-driven RED-GREEN-REFACTOR cycle for creating AI skills.
npx skills add https://github.com/GregoryHo/arcforge --skill arc-writing-skills
Please help me install this Agent Skill. Skill: arc-writing-skills Source: https://github.com/GregoryHo/arcforge/tree/main/skills/arc-writing-skills Command: npx skills add https://github.com/GregoryHo/arcforge --skill arc-writing-skills
This Skill provides a rigorous, test-driven framework for creating and refining AI skills, ensuring they are discoverable, effective, and resistant to common AI rationalizations.
Follow the RED-GREEN-REFACTOR cycle to write a new skill for your AI agent.
High-intent search queries and answers about installing and using this skill.
Test-driven development for AI prompt engineering applies the RED-GREEN-REFACTOR cycle to skill creation, ensuring AI agents comply with rules before deployment. This methodology tests skills under pressure scenarios to prevent rationalization and enforce documentation standards.
AI agents rationalize outputs under pressure when skills lack rigorous testing and loophole closures. Preventing AI rationalization requires applying specific testing protocols with subagents to ensure compliance and enforce skill rules during edge cases.
Structuring AI documentation for discoverability requires following specific documentation standards that outline use cases, testing methodologies, and core features. Adhering to these standards ensures skills remain effective, clear, and easily found by agents across the lifecycle.
Testing AI skills against common shortcuts involves evaluating them with subagents under pressure scenarios. This approach closes loopholes and prevents AI agents from bypassing skill rules, ensuring the skill remains enforceable during deployment.
Prior testing experience is not explicitly required, but adherence to the RED-GREEN-REFACTOR cycle is mandatory. The skill development workflow guides users through testing protocols and documentation standards to ensure created skills are clear and enforceable.
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