writing-skills

Create and validate AI agent skill documentation using TDD principles.

Updated Apr 11, 2026
One-click install
npx skills add https://github.com/fumtas1k/devtools --skill writing-skills-fumtas1k
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: writing-skills
Source: https://github.com/fumtas1k/devtools/tree/main/.agents/skills/writing-skills
Command: npx skills add https://github.com/fumtas1k/devtools --skill writing-skills-fumtas1k

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill unit helps you create, verify, and maintain high-quality documentation for AI agents using TDD principles, ensuring clarity and effectiveness in skill development.

Core Features & Use Cases

  • Skill Creation: Provides guidelines for writing skill documentation using TDD principles.
  • Skill Validation: Offers a framework for testing and refining skills before deployment.
  • Skill Refactoring: Assists in closing loopholes and improving skill robustness.
  • Use Case: When developing a new skill for an AI agent, use this Skill unit to follow the TDD cycle for documentation creation, starting with pressure scenarios to identify baseline behaviors, followed by writing the skill document, and finally refactoring to ensure compliance.

Quick Start

To create a new skill, run the following steps:

  1. Write Failing Test: Identify the scenario where the skill is needed and run it without the skill to observe the agent's baseline behavior.
  2. Write Minimal Skill: Document the skill based on the observed failures, ensuring it addresses the specific scenarios identified.
  3. Refactor: Test the skill with new scenarios and refine it to address any new rationalizations or violations.

Frequently Asked Questions about writing-skills

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

FAQPage Schema
How do I document AI agent skills using TDD principles?

To document AI agent skills using TDD principles, you start by writing a failing test scenario to observe baseline behavior, write minimal skill documentation to address the failure, and refactor to close loopholes.

What is the best way to validate AI agent skills before deployment?

The best way to validate AI agent skills is applying a TDD framework that tests the skill against pressure scenarios, identifies baseline behaviors, and refines documentation to ensure clarity, adherence to standards, and practical utility.

How do I close loopholes and improve robustness during skill refactoring?

To close loopholes and improve skill robustness during refactoring, test the skill with new scenarios and refine the documentation to address any new rationalizations or violations observed under pressure.

Do I need to understand Test-Driven Development to create skill documentation?

Yes, you need to understand Test-Driven Development principles, skill creation processes, and agent behavior under pressure to effectively use this framework for creating and validating AI agent documentation.

Why does my AI agent fail under pressure scenarios without a defined skill?

AI agents fail under pressure scenarios without a defined skill because they lack baseline documentation to guide behavior; writing a failing test first exposes these vulnerabilities before you write the minimal skill.

Can I use this TDD cycle for maintaining existing skill documentation?

Yes, you can use the TDD cycle for maintaining existing skill documentation by continuously testing current scenarios, observing new rationalizations, and refactoring the skill to ensure ongoing compliance and robustness.