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MrAlexisCord
MrAlexisCordCOMMUNITY
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writing-skills

Enforce a TDD methodology for authoring and maintaining AI skills.

Updated Mar 14, 2026
Search Tags:#skill development#testing#tdd#documentation#refactoring#agent behavior
One-click install
npx skills add https://github.com/MrAlexisCord/chatbot-prototype --skill writing-skills-mralexiscord
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: writing-skills
Source: https://github.com/MrAlexisCord/chatbot-prototype/tree/main/.agents/skills/writing-skills
Command: npx skills add https://github.com/MrAlexisCord/chatbot-prototype --skill writing-skills-mralexiscord

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a rigorous, test-driven framework for creating, editing, and verifying skills, ensuring they are robust, discoverable, and effective.

Core Features & Use Cases

  • Test-Driven Skill Development: Apply the RED-GREEN-REFACTOR cycle to skill authoring.
  • Pressure Scenario Testing: Design tests that simulate real-world agent behavior under stress to uncover vulnerabilities.
  • Rationalization Countermeasures: Develop strategies to prevent agents from bypassing skill rules through loopholes or excuses.
  • Use Case: When developing a new skill for code review, you would first write pressure scenarios where an agent might skip review under time constraints. Then, you'd write the skill to enforce the review, and finally, refactor it to prevent any rationalizations for skipping it.

Quick Start

Follow the RED-GREEN-REFACTOR cycle to create or update a skill.

Frequently Asked Questions about writing-skills

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

FAQPage Schema
How do I apply test-driven development to AI skill creation?▼

Test-driven skill development applies the RED-GREEN-REFACTOR cycle to skill authoring by first writing pressure scenarios that fail, implementing the minimal skill logic, and then refactoring to close loopholes.

What are pressure scenarios in agent behavior testing?▼

Pressure scenarios are tests simulating real-world agent behavior under stress to uncover vulnerabilities, ensuring skills remain robust and compliant even when an agent attempts to bypass rules under constraints.

How do I prevent AI agents from bypassing skill rules through rationalization?▼

Rationalization countermeasures prevent AI agents from bypassing skill rules by iteratively closing loopholes during the refactoring phase, ensuring strict adherence to the intended skill behavior.

What is the best way to structure skill documentation for robustness?▼

Structuring skill documentation for robustness requires adherence to strict testing phases including baseline failure analysis, minimal skill implementation, and iterative loophole closure to validate effectiveness before deployment.

Can I use this TDD methodology to refactor existing AI skills?▼

Yes, you can refactor existing AI skills by applying the test-driven framework to verify their effectiveness, designing new pressure scenarios to find vulnerabilities, and iteratively closing any discovered loopholes.

Why does my AI skill fail under pressure despite having clear documentation?▼

AI skills fail under pressure when baseline failure analysis and rationalization countermeasures are missing, allowing agents to exploit loopholes; strict TDD phases are required to close these vulnerabilities.

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