skills.rest
DMT123
DMT123COMMUNITY
Explore all skills by this author →
GitHub

writing-skills

Enforces a RED-GREEN-REFACTOR testing cycle for AI agent Skill documentation.

Updated Mar 2, 2026
Search Tags:#skill development#tdd#compliance#rationalization#documentation testing#ai agent behavior
One-click install
npx skills add https://github.com/DMT123/claude-skills-collection --skill writing-skills-dmt123
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: writing-skills
Source: https://github.com/DMT123/claude-skills-collection/tree/main/plugins/superpowers/writing-skills
Command: npx skills add https://github.com/DMT123/claude-skills-collection --skill writing-skills-dmt123

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill ensures that your documentation (Skills) is clear, discoverable, and effectively guides AI agents by applying rigorous testing and refinement processes, preventing common pitfalls and rationalizations.

Core Features & Use Cases

  • Test-Driven Skill Development: Enforces the RED-GREEN-REFACTOR cycle for creating and updating Skills.
  • Rationalization Countermeasures: Provides strategies to prevent AI agents from bypassing documentation rules under pressure.
  • Use Case: When creating a new Skill for code review, you would first write scenarios where an agent fails to perform a proper review without the Skill (RED), then write the Skill to address those failures (GREEN), and finally test against new rationalizations to ensure compliance (REFACTOR).

Quick Start

Use the writing-skills skill to ensure your new skill documentation is thoroughly tested before deployment.

Frequently Asked Questions about writing-skills

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

FAQPage Schema
How do I test AI agent documentation to prevent bypassing or misinterpreting rules?▼

Testing AI agent documentation requires a test-driven development methodology applying structured RED, GREEN, and REFACTOR phases to Skill Units. This enforces compliance by validating instructions and applying countermeasures against common rationalizations.

What is test-driven development for AI agent skills?▼

Test-driven skill development is a methodology enforcing the RED-GREEN-REFACTOR cycle for creating and refining AI agent documentation. You write scenarios where an agent fails without the Skill, then write the Skill to fix those failures, and test against rationalizations.

How do I stop AI agents from rationalizing and bypassing documentation under pressure?▼

Stopping AI rationalization requires applying specific countermeasures during the REFACTOR testing phase. This tests your documentation against new rationalizations to ensure skills remain discoverable, compliant, and robust under pressure.

How do I apply the RED GREEN REFACTOR cycle when writing AI skill documentation?▼

Applying the RED-GREEN-REFACTOR cycle to skill documentation involves writing failure scenarios without the Skill (RED), writing the Skill to address those failures (GREEN), and testing against rationalizations to ensure compliance (REFACTOR).

Does test-driven documentation work for making AI skills more discoverable and compliant?▼

Yes, test-driven documentation ensures skills are discoverable and compliant by applying rigorous testing and refinement processes. This prevents common pitfalls and rationalizations, bulletproofing your documentation before deployment.

Related Skills

Explore More Software Engineering Skills→
allanninalallanninal
1

writing-skills

Create and refine AI skills using a Test-Driven Development methodology.

Community
Advanced
FacuMFacuM

writing-skills

Apply the RED-GREEN-REFACTOR cycle to author and refine AI skills.

Community
Advanced
mikkelkrogsholmmikkelkrogsholm
2

creating-subagents

Create Claude Code subagents with YAML frontmatter and system prompts.

Community
Basic
NeuralChainXNeuralChainX

writing-skills

Author agent skills using a RED-GREEN-REFACTOR cycle with pressure-based test scenarios.

Official
Advanced