writing-skills

Apply test-driven development to create, edit, and validate skill documentation.

3|Updated Oct 18, 2025
One-click install
npx skills add https://github.com/DYAI2025/Stoppclock-page --skill writing-skills-dyai2025
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: writing-skills
Source: https://github.com/DYAI2025/Stoppclock-page/tree/main/stoppclock_speckit/.claude/commands/SKILL (13).md
Command: npx skills add https://github.com/DYAI2025/Stoppclock-page --skill writing-skills-dyai2025

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the challenge of creating effective, robust AI skills that agents consistently use, even under pressure. It applies Test-Driven Development (TDD) principles to documentation, ensuring skills are clear, comprehensive, and resistant to rationalization.

Core Features & Use Cases

  • TDD for Skills: Write failing tests (scenarios), then write the skill to make agents comply, and refactor to close loopholes.
  • Rationalization Prevention: Bulletproof skills against common excuses agents use to bypass rules.
  • Use Case: Develop new internal AI skills for your team, ensuring they are immediately effective and adopted, reducing errors and improving workflow consistency.

Quick Start

1. RED: Run a pressure scenario WITHOUT your skill.

Document agent's choices and rationalizations.

2. GREEN: Write your skill to address those failures.

Run scenario WITH skill; agent should comply.

3. REFACTOR: If agent finds new rationalizations,

add explicit counters and re-test.

Frequently Asked Questions about writing-skills

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I use test-driven development to write AI skills that agents actually follow?

Test-driven development for skills means running pressure scenarios first to document how agents fail or rationalize, then writing skill documentation to make them comply, and refactoring to close loopholes. This RED-GREEN-REFACTOR cycle ensures your skills are bulletproof and consistently adopted.

What's the best way to prevent AI agents from bypassing skill rules?

Document agent rationalizations during pressure scenarios, then add explicit counters to your skill documentation. Re-test after each refactor to catch new workarounds. This iterative approach closes gaps agents use to justify non-compliance.

When should I apply TDD to skill documentation instead of writing skills first?

Apply TDD to skill documentation whenever you need agents to follow rules reliably under pressure. It's essential for internal team skills where consistency matters and agents might rationalize exceptions. Testing before writing catches failures early and reduces deployment errors.

Can I use this approach for both new skills and editing existing ones?

Yes. TDD applies across creating, editing, and validating skills. Run pressure scenarios against your current skill, document failures and rationalizations, update the documentation to address them, and iterate until compliance is achieved.

How do I know when my skill documentation is ready for deployment?

Your skill is deployment-ready when agents pass all pressure scenarios without rationalizing exceptions. Run tests before writing, enforce the RED-GREEN-REFACTOR lifecycle, and iterate until both compliance and robustness are verified.

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