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create-skill

Guide creation of modular AI skills with structured metadata and validation.

Updated Mar 26, 2026
Search Tags:#workflow design#validation#skill creation#ai agents#claude#metadata
One-click install
npx skills add https://github.com/Masterleeaus/zero --skill create-skill-masterleeaus
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: create-skill
Source: https://github.com/Masterleeaus/zero/tree/main/CodeToUse/_Quarantine/AI_aicore_AICores_duplicate/zylos-core-main/skills/create-skill
Command: npx skills add https://github.com/Masterleeaus/zero --skill create-skill-masterleeaus

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps creators design and package effective AI skills by providing structured guidance for workflows, metadata, resources, and validation.

Core Features & Use Cases

  • Skill Design Guidance: Provides principles for creating concise, reusable skills with appropriate instructions and resource organization.
  • Resource Planning: Explains how to use scripts, references, and assets for specialized workflows and reusable capabilities.
  • Skill Validation: Supports creating and checking skill structures with frontmatter requirements and validation workflows.

Quick Start

Use the create-skill skill to design a new AI capability package with the correct structure and metadata.

Frequently Asked Questions about create-skill

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

FAQPage Schema
How do I structure metadata for AI agent skill creation?▼

Metadata for AI agent skill creation requires structured frontmatter and resource conventions to package modular capabilities. Validation workflows check these structural requirements to ensure the capability package is discoverable.

What is the best way to design reusable workflows for Claude?▼

Designing reusable workflows for Claude involves creating modular skills with concise instructions and bundled resources. This approach uses proven patterns to organize scripts and references for specialized tasks.

How does frontmatter validation work for AI skills?▼

Frontmatter validation checks the required metadata fields and resource structure conventions within a skill package. This process ensures the AI capability is correctly formatted and discoverable before deployment.

When do I need to bundle scripts and references into a skill?▼

Bundle scripts and references into a skill when building specialized workflows that require reusable capabilities. Organizing these resources modularly ensures the AI agent can execute complex, multi-step tasks effectively.

Can I update an existing AI skill workflow without breaking the structure?▼

Updating an existing AI skill workflow requires modifying the structured instructions while maintaining the frontmatter validation rules. The modular design allows you to adjust resources and metadata without breaking the package.

Why does my skill metadata fail validation?▼

Skill metadata fails validation when it does not adhere to the required frontmatter structure and resource conventions. Checking the modular instructions and frontmatter fields against validation workflows resolves structural errors.

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