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anthropic:skill-creator

Guide creation, structuring, and packaging of AI skills with SKILL.md components.

2|Updated Jan 30, 2026
Search Tags:#documentation#skill creation#AI development#agent workflow#packaging#progressive disclosure
One-click install
npx skills add https://github.com/amdmax/claude_marketplace --skill anthropic-skill-creator-amdmax
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: anthropic:skill-creator
Source: https://github.com/amdmax/claude_marketplace/tree/main/.claude/skills/anthropic%3Askill-creator
Command: npx skills add https://github.com/amdmax/claude_marketplace --skill anthropic-skill-creator-amdmax

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a comprehensive guide and process for creating, structuring, and packaging new AI skills, ensuring they are efficient, well-documented, and discoverable.

Core Features & Use Cases

  • Skill Anatomy: Understand the required SKILL.md and optional scripts/, references/, assets/ components.
  • Design Principles: Learn about conciseness, progressive disclosure, and setting appropriate degrees of freedom.
  • Development Workflow: Follow a step-by-step process from understanding the skill to iteration and packaging.
  • Use Case: A developer needs to build a new skill to automate code refactoring. They use this Skill to understand the best practices for organizing their Python scripts, documentation, and the SKILL.md file, ensuring the refactoring skill is robust and easy to use.

Quick Start

Use the anthropic:skill-creator skill to understand the process of creating a new AI skill.

Frequently Asked Questions about anthropic: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 agent workflows?▼

To package AI skills, structure your project with a required SKILL.md file alongside optional scripts, references, and assets directories. This modular approach ensures your agent capabilities are well-documented, discoverable, and robust.

What is progressive disclosure in AI skill development?▼

Progressive disclosure is a core design principle that structures AI skills to remain concise while revealing deeper complexity only when needed. It ensures efficient agent operation by preventing context overload during task execution.

How do I structure a modular code refactoring skill with Python scripts?▼

Structure a refactoring skill by placing Python automation scripts in the scripts directory, supporting documentation in references, and the core instructions in SKILL.md. This configuration makes the skill modular, configurable, and battle-tested.

What is the workflow for developing AI skills from planning to iteration?▼

The AI skill development workflow follows a step-by-step process: understanding the skill requirements, planning the structure, creating the components, and iterating through refinement. This ensures the final packaged skill meets agent capability requirements.

Do I need any dependencies to build and package new AI skills?▼

No dependencies are required to build and package new AI skills. The creation process relies on understanding skill anatomy and design principles to configure modular components like scripts and references for enhanced agent capabilities.

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