writing-skills

Name: writing-skills
Availability: InStock
Author: kanutocl

Create and verify AI skills using Test-Driven Development cycles.

Updated Jan 19, 2026

Search Tags:#testing #tdd #documentation #refactoring #skill creation #ai skills

Ready to run

npx skills add https://github.com/KanuToCL/SonoTag --skill writing-skills-kanutocl

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: writing-skills
Source: https://github.com/KanuToCL/SonoTag/tree/main/.claude/skills/writing-skills
Command: npx skills add https://github.com/KanuToCL/SonoTag --skill writing-skills-kanutocl

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a rigorous, test-driven development (TDD) framework for creating and verifying AI skills, ensuring they are effective, reliable, and discoverable.

Core Features & Use Cases

Skill Authoring Framework: Adapts TDD principles (Red-Green-Refactor) to the process of writing SKILL.md documentation.
Testing Methodology: Defines how to write pressure scenarios and baseline tests to ensure skills teach the right thing.
Use Case: When you need to create a new AI skill or update an existing one, use this Skill to ensure it's well-documented, tested, and adheres to best practices before deployment.

Quick Start

Use the writing skills skill to create a new skill for handling API documentation.

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 and verify AI skills?▼

To write AI skills with TDD, you apply RED-GREEN-REFACTOR cycles to author and edit SKILL.md documentation, ensuring the skills teach the right thing through pressure scenario testing before deployment.

What is the best way to test AI skills before deployment?▼

The best way to test AI skills is by writing pressure scenarios and baseline tests within a test-driven development framework, verifying that the documentation adheres to standards and reliably teaches the intended behavior.

How does test-driven development apply to skill documentation?▼

Test-driven development applies to skill documentation by using RED-GREEN-REFACTOR cycles to guide the authoring and editing process, ensuring the documentation meets compliance standards and effectively instructs the AI.

Do I need specific YAML frontmatter for skill creation and discovery?▼

Yes, skill creation requires specific YAML frontmatter to ensure the final AI skill is properly formatted for discovery and adheres to the necessary documentation standards before deployment.

Can I update existing AI skills using a test-driven methodology?▼

Yes, you can update existing AI skills using a test-driven methodology by applying RED-GREEN-REFACTOR cycles to edit the current documentation, running pressure scenario tests to verify compliance and effectiveness.

When should I use a TDD framework for skill authoring?▼

You should use a TDD framework for skill authoring when you need to create a new AI skill or update an existing one, ensuring the output is well-documented, reliable, and meets compliance standards before deployment.