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nyosegawa
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skill-creator

Guide users through creating and structuring modular AI skills.

56|Updated Feb 11, 2026
Search Tags:#skill development#best practices#documentation#workflow automation#prompt engineering#ai agent
One-click install
npx skills add https://github.com/nyosegawa/skills --skill skill-creator-nyosegawa
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/nyosegawa/skills/tree/main/reference_skills/anthropics-skills-skill-creator
Command: npx skills add https://github.com/nyosegawa/skills --skill skill-creator-nyosegawa

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a comprehensive guide and best practices for creating effective, modular AI skills that extend an AI's capabilities with specialized knowledge, workflows, or tool integrations.

Core Features & Use Cases

  • Skill Anatomy: Understand the structure of a skill (SKILL.md, scripts, references, assets).
  • Design Principles: Learn about conciseness, progressive disclosure, and setting degrees of freedom.
  • Development Process: Follow a step-by-step guide for understanding, planning, initializing, editing, packaging, and iterating on skills.
  • Use Case: A developer needs to create a new skill to help an AI agent interact with a specific internal API. They use this Skill to understand the required structure, best practices for documentation, and how to package the final skill.

Quick Start

Use the skill-creator to learn how to 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 skill for modularity and progressive disclosure?▼

An AI skill structure consists of components like SKILL.md, scripts, references, and assets. This modular anatomy supports progressive disclosure, allowing you to manage complexity and set degrees of freedom for efficient AI agent interactions.

How do I create an AI skill from understanding requirements to packaging the final skill?▼

Creating an AI skill requires a step-by-step workflow: understand requirements, plan, initialize, edit, package, and iterate. This process ensures your skill adheres to best practices for documentation, conciseness, and efficient workflow automation.

What are the core principles of prompt engineering for AI agent skill development?▼

Core principles for AI skill development include conciseness, progressive disclosure, and setting degrees of freedom. These design principles guide how an AI agent interprets instructions and interacts with specialized workflows or tool integrations.

Do I need specific dependencies to build an AI skill for workflow automation?▼

No specific dependencies are required to build an AI skill for workflow automation. The skill development process focuses on structuring the SKILL.md, scripts, and references to guide AI agents without relying on external packages.

When should I use a modular AI skill instead of a single prompt?▼

You should use a modular AI skill instead of a single prompt when extending an AI's capabilities with specialized knowledge, complex workflows, or tool integrations. A skill provides structured documentation and progressive disclosure that a single prompt cannot achieve.

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