skill-creator

Generate, validate, and package AI agent skills with standardized SKILL.md templates.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/jjjermiah/dot-agents --skill skill-creator-jjjermiah
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/jjjermiah/dot-agents/tree/main/src/dot-agents/skills/skill-creator
Command: npx skills add https://github.com/jjjermiah/dot-agents --skill skill-creator-jjjermiah

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The Skill Creator guides teams in drafting, validating, and packaging AI agent skills, ensuring consistent structure, frontmatter quality, and reusable patterns across Skill units.

Core Features & Use Cases

  • Templates and examples for SKILL.md frontmatter and body to standardize skill structure
  • Built-in validation and packaging workflows to enforce quality and consistency
  • Guidance on progressive disclosure, ethical considerations, and reusable design patterns
  • Use cases include creating new skills, updating existing skills, and distributing packaged skills

Quick Start

Run the init_skill.py script to scaffold a new skill directory with SKILL.md and starter resources, then customize the documentation.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I create and package AI skills with consistent frontmatter and structure?

You can create and package AI skills by running the init_skill.py script to scaffold a standardized directory with SKILL.md frontmatter, workflow structure, and reusable templates. This enforces consistent quality and streamlines distribution.

What is progressive disclosure in AI skill design and when should I apply it?

Progressive disclosure in AI skill design is a pattern that structures documentation to reveal information contextually, ensuring token-efficient frontmatter. You should apply it when standardizing skill units to maintain quality and reduce context window bloat.

How do I validate SKILL.md quality before distributing packaged AI skills?

You validate SKILL.md quality using built-in validation workflows that check standardized frontmatter, workflow structure, and ethical guidance. This ensures your packaged AI skills meet consistency requirements before distribution.

Does the Skill Creator require pyyaml to generate and validate AI agent skills?

Yes, the Skill Creator requires the pyyaml dependency to parse and validate frontmatter within SKILL.md files. This ensures the generated AI agent skills have correctly structured metadata for packaging.

What's the best way to standardize documentation and templates for multiple AI skills?

The best way to standardize documentation for multiple AI skills is using a creator tool with built-in templates and validation workflows. This enforces reusable design patterns, consistent frontmatter, and progressive disclosure across all skill units.