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Epiphytic
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writing-skills

Create AI agent skill documentation with SKILL.md frontmatter and test-driven validation.

7|Updated Feb 6, 2026
Search Tags:#testing#tdd#documentation#skill creation#ai agents#skill.md
One-click install
npx skills add https://github.com/Epiphytic/ai-plugin-translator --skill writing-skills-epiphytic
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: writing-skills
Source: https://github.com/Epiphytic/ai-plugin-translator/tree/main/packages/core/test/fixtures/regression-output/superpowers-marketplace/superpowers/skills/writing-skills
Command: npx skills add https://github.com/Epiphytic/ai-plugin-translator --skill writing-skills-epiphytic

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps creators avoid ineffective AI skill documentation by providing guidance for designing reusable skills that are discoverable, tested, and aligned with real agent behavior.

Core Features & Use Cases

  • Skill Design Guidance: Defines how to structure SKILL.md files, frontmatter, descriptions, and supporting resources for effective discovery.
  • Test-Driven Skill Development: Applies RED-GREEN-REFACTOR principles to validate skills against agent failures and rationalizations.
  • Use Case: When building a new AI agent skill, use this guidance to create a clear, reusable instruction set and verify that agents follow it correctly.

Quick Start

Use the writing-skills skill to create or improve an AI agent skill with proper structure and validation practices.

Frequently Asked Questions about writing-skills

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

FAQPage Schema
How do I create reliable AI agent skills that follow instructions correctly?▼

To create reliable AI agent skills, you need structured authoring practices with SKILL.md frontmatter conventions and test-driven verification to validate agent behavior against the defined instructions.

What is test-driven development for AI agent skill documentation?▼

Test-driven skill development applies RED-GREEN-REFACTOR principles to validate AI agent skills, testing them against agent failures and rationalizations to ensure the documentation produces reliable behavior.

How do I structure SKILL.md files for AI coding assistants to ensure discoverability?▼

Structuring SKILL.md files for discoverability requires proper frontmatter conventions, clear descriptions, and supporting resources that align with real agent behavior and discovery optimization practices.

Why does my AI agent ignore or rationalize failures when using custom skills?▼

AI agents ignore custom skills when the documentation lacks test-driven verification, making structured authoring and validation against agent failures necessary to prevent rationalization.

Can I use test-driven development to validate reusable skills for AI coding assistants?▼

Yes, you can apply test-driven development to validate reusable skills for AI coding assistants by using RED-GREEN-REFACTOR principles to verify agents follow the instruction set correctly.

What are the limitations of creating AI agent skills without structured validation?▼

Creating AI agent skills without structured validation leads to ineffective documentation, poor discoverability, and unreliable agent behavior due to untested rationalizations and missing frontmatter conventions.

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