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allanninal
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writing-skills

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

1|Updated Jan 31, 2026
Search Tags:#testing#tdd#documentation#skill creation#rationalization#ai skills
One-click install
npx skills add https://github.com/allanninal/claude-code-skills --skill writing-skills-allanninal
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: writing-skills
Source: https://github.com/allanninal/claude-code-skills/tree/main/skills/writing-skills
Command: npx skills add https://github.com/allanninal/claude-code-skills --skill writing-skills-allanninal

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a rigorous, test-driven framework for creating and refining AI skills, ensuring they are discoverable, effective, and resistant to common agent rationalizations.

Core Features & Use Cases

  • Test-Driven Skill Development: Apply the RED-GREEN-REFACTOR cycle to skill authoring.
  • Rationalization Countermeasures: Learn to identify and explicitly block common excuses agents use to bypass rules.
  • Use Case: When developing a new skill for code review, use this skill's methodology to write pressure scenarios that test compliance before deploying the skill, ensuring it works reliably under stress.

Quick Start

Use the writing-skills skill to guide the creation of a new skill, following the TDD methodology.

Frequently Asked Questions about writing-skills

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

FAQPage Schema
How do I use TDD to create reliable AI skills?▼

To create AI skills with TDD, you write pressure scenarios to baseline agent behavior, develop minimal skills to pass tests, and refactor to close loopholes against rationalization. This methodology ensures skills are effective and resistant to common agent bypasses.

What is rationalization in AI skill development and how do I prevent it?▼

Rationalization in AI skill development occurs when agents use excuses to bypass established rules. You prevent it by identifying common rationalizations and explicitly blocking them through refactoring your skill's constraints based on pressure scenario test results.

Can I apply test-driven development to all types of AI skills?▼

Yes, you can apply test-driven development to all AI skill types. The TDD methodology is applicable to discipline-enforcing, technique, pattern, and reference skills, ensuring broad reliability across different functional categories.

What's the best way to test AI agent compliance before deploying a skill?▼

The best way to test AI agent compliance is to write pressure scenarios that stress-test the skill's rules before deployment. This test-driven approach baselines agent behavior and verifies that the skill functions reliably under pressure.

How does the RED-GREEN-REFACTOR cycle work for skill authoring?▼

The RED-GREEN-REFACTOR cycle for skill authoring involves writing failing pressure tests, developing minimal skills to pass those tests, and refactoring to close loopholes. This framework ensures rigorous refinement of AI skills against rationalization.

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