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skill-creator

Guide creation and structuring of AI Skills with SKILL.md best practices.

18|Updated Feb 8, 2026
Search Tags:#skill development#workflow design#best practices#documentation#prompt engineering#ai agent
One-click install
npx skills add https://github.com/goldengrape/skills --skill skill-creator-goldengrape
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/goldengrape/skills/tree/main/startup-helper/.agent/skills/skill-creator
Command: npx skills add https://github.com/goldengrape/skills --skill skill-creator-goldengrape

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides comprehensive guidance and best practices for creating new AI Skills or updating existing ones, ensuring they are effective, efficient, and well-structured.

Core Features & Use Cases

  • Skill Anatomy: Explains the structure of a Skill (SKILL.md, scripts/, references/, assets/).
  • Design Principles: Details core principles like conciseness, progressive disclosure, and setting degrees of freedom.
  • Creation Process: Outlines a step-by-step process for developing Skills, from understanding requirements to packaging.
  • Resource Management: Guides on when and how to use scripts, references, and assets effectively.
  • Use Case: A developer wants to build a new Skill to help Claude process financial reports. They would use this Skill to understand the best way to structure their SKILL.md, organize reference documents for financial schemas, and potentially include scripts for data validation.

Quick Start

Use the skill-creator to learn how to structure and build a new AI skill.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
What is the best way to structure an AI agent skill?▼

Designing effective AI skills requires following core principles like conciseness, progressive disclosure, and setting appropriate degrees of freedom. These practices ensure the AI agent operates within intended boundaries while maintaining high performance and predictable behavior.

How do I create an AI skill from planning to packaging?▼

You create an AI skill by following a step-by-step development lifecycle: understanding requirements, drafting the SKILL.md content, organizing bundled resources like scripts and references, and finally packaging the directory structure for deployment.

When should I include scripts and references in my skill development?▼

You should include scripts and references in skill development when the AI agent needs executable logic for tasks like data validation or external schemas for context. Effective resource management ensures the skill only bundles necessary files for optimal performance.

Does building an AI agent skill require prior prompt engineering experience?▼

Building an AI agent skill does not strictly require prior prompt engineering experience, but understanding documentation best practices helps. The skill creation guide details design principles and structuring processes to assist developers at all levels.

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