skill-writer

Define and document AI agent skills with structured SKILL.md frontmatter.

21|1|Updated Jan 8, 2026
One-click install
npx skills add https://github.com/metalagman/agent-skills --skill skill-writer-metalagman
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-writer
Source: https://github.com/metalagman/agent-skills/tree/main/skill-writer
Command: npx skills add https://github.com/metalagman/agent-skills --skill skill-writer-metalagman

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

The Skill Writer enables teams to design, document, and standardize AI agent skills with a clear frontmatter contract, reusable patterns, and progressive disclosure to keep context lean and scalable.

Core Features & Use Cases

  • Templates and patterns for SKILL.md structure, references, and assets
  • Rules and workflows that govern skill creation, versioning, and orchestration across agents
  • Use cases include rapid skill onboarding, governance, and library maintenance

Quick Start

Draft a new skill by outlining its purpose, creating a SKILL.md with frontmatter, and planning optional references and assets per the Skill Writer guidelines.

Frequently Asked Questions about skill-writer

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

FAQPage Schema
How do I structure AI agent skills for consistent discovery and activation across multi-agent environments?

To structure AI agent skills for consistent discovery, you define a SKILL.md file with required frontmatter, organize content into structured directories like references and assets, and apply a formal quality checklist. This ensures reliable loading and activation across multi-agent environments.

What is the best way to document frontmatter requirements for reusable AI skill libraries?

The best way to document frontmatter requirements for AI skill libraries is to apply structured templates that enforce frontmatter contracts. This standardizes skill creation, versioning, and orchestration, enabling teams to maintain governance and reliable onboarding.

How do I create a new AI skill with proper documentation and progressive disclosure?

To create a new AI skill with proper documentation, outline its purpose, draft a SKILL.md with required frontmatter, and plan optional references and assets. This progressive disclosure approach keeps context lean and scalable for AI agents.

Can I use this documentation standard to manage skill governance for teams building libraries across Gemini, Claude, and Codex?

Yes, you can use this documentation standard to manage skill governance across Gemini, Claude, and Codex. It provides reusable patterns and rules that govern skill creation and orchestration, ensuring maintainability for teams building multi-agent skill libraries.

When do I need to use formal quality checklists and structured directories for AI workflow patterns?

You need to use formal quality checklists and structured directories for AI workflow patterns when building libraries of reusable skills. This enforces frontmatter requirements and ensures reliability, maintainability, and consistent activation across multi-agent environments.