skill-creator

Creates standardized AI skill scaffolds with SKILL.md frontmatter and resource directories.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill codifies a repeatable, scalable approach to building AI agent skills, ensuring consistent structure, frontmatter, and bundling resources so teams can rapidly bootstrap capabilities without ambiguity.

Core Features & Use Cases

  • Structured SKILL.md templates: Enforces YAML frontmatter with name and description and a focused Markdown body guiding usage.

  • Resource scaffolding: Recommends organizing resources under scripts/, references/, and assets/ to support deterministic tasks, in-depth guidance, and output templates.

  • Application lifecycle guidance: Provides steps for initializing, editing, validating, packaging, and iterating skills to maintain quality over time.

  • Use Case: When starting a new skill, use this guide to generate a consistent skeleton and standard workflows for onboarding agents.

Quick Start

Run the included init_skill.py to create a new skill scaffold, then edit SKILL.md to finalize the name/description and tailor the body. Optionally add resource directories (scripts, references, assets) and run the packaging tool to verify the artifact.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I create standardized AI skills with consistent YAML frontmatter?

Standardized AI skills require a baseline SKILL.md file with YAML frontmatter containing name and description fields. This skill provides templates and init_skill.py to scaffold the directory structure, ensuring consistent naming and packaging.

What is the best way to scaffold resources for a new AI agent skill?

Scaffolding resources for an AI agent skill involves organizing files into scripts/, references/, and assets/ directories. This structure supports deterministic task execution, in-depth guidance, and output templates for consistent skill packaging.

How does the skill packaging and validation process work?

Skill packaging and validation works by running package_skill.py to verify the SKILL.md frontmatter and bundle resource directories. This ensures the artifact maintains the required structure and quality standards before deployment.

Do I need any dependencies to use this skill creation workflow?

No dependencies are required for this skill creation workflow. It operates independently using included tooling like init_skill.py and package_skill.py to initialize, validate, and package AI skills without external libraries.

Can I use this template to iterate on existing AI skills?

Yes, you can use this template to iterate on existing AI skills. It provides lifecycle guidance for editing and validating SKILL.md, adding optional resource directories, and repackaging the artifact to maintain quality over time.