skill-creator

Create and update AI skills using SKILL.md templates and packaging workflows.

1|Updated Feb 14, 2026
One-click install
npx skills add https://github.com/ynitto/sandbox --skill skill-creator-ynitto
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/ynitto/sandbox/tree/main/.github/skills/skill-creator
Command: npx skills add https://github.com/ynitto/sandbox --skill skill-creator-ynitto

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a structured onboarding and tooling scaffold to create and update AI skills, reducing setup friction and ensuring consistency across new skills.

Core Features & Use Cases

  • Structured onboarding with SKILL.md templates and a starter folder layout (scripts/, references/, assets/)
  • Reusable scaffolds and references to accelerate skill creation and updates
  • Guided editing, validation, and packaging workflows integrated via helper scripts

Quick Start

Run the init script to create a new skill folder, then fill SKILL.md and add scripts, references, and assets as needed.

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 for an agent ecosystem?

AI skill creation involves using scaffolding templates to generate a standardized folder structure with scripts, references, and assets, ensuring your skill meets naming and frontmatter requirements for agent ecosystem integration.

What is the standard folder structure for onboarding a new AI skill?

The standard folder structure for a new AI skill includes a root directory with a SKILL.md file alongside three subdirectories: scripts/, references/, and assets/.

Can I update an existing AI skill without breaking its integration with the agent ecosystem?

Yes, you can update an existing AI skill without breaking integration by using guided editing and validation workflows that check standardized frontmatter and structure to ensure ongoing compliance with agent ecosystem requirements.

What is the best way to bootstrap a skill with standardized naming and frontmatter?

The best way to bootstrap a skill with standardized naming and frontmatter is to run an initialization script that applies reusable templates and scaffolds to automate the setup process.

Do I need to manually validate the packaging structure of my AI skill?

You do not need to manually validate the packaging structure; helper scripts provide automated validation workflows to ensure your skill is packaging-ready and conforms to required standards.