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mikegogulski
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skill-creator

Guide developers through creating and refining AI skills with best practices.

Updated Feb 16, 2026
Search Tags:#documentation#workflow automation#skill creation#AI development#packaging#progressive disclosure
One-click install
npx skills add https://github.com/mikegogulski/abase-django-blog-integration-test --skill skill-creator-mikegogulski
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/mikegogulski/abase-django-blog-integration-test/tree/main/.agents/skills/skill-creator
Command: npx skills add https://github.com/mikegogulski/abase-django-blog-integration-test --skill skill-creator-mikegogulski

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive guide for creating and improving AI skills, ensuring they are efficient, well-structured, and effectively extend AI capabilities.

Core Features & Use Cases

  • Skill Anatomy: Understand the structure of a skill (SKILL.md, scripts, references, assets).
  • Design Principles: Learn best practices for conciseness, progressive disclosure, and setting degrees of freedom.
  • Creation Process: Follow a step-by-step guide from understanding requirements to packaging and iteration.
  • 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 best way to structure the skill's documentation, scripts, and reference materials for optimal AI performance.

Quick Start

Use the skill-creator to learn how to create a new AI skill.

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 an AI skill from scratch?▼

To create an AI skill, follow a step-by-step workflow from understanding requirements to packaging and iteration. This involves structuring the SKILL.md file, bundling scripts, and organizing reference materials to ensure modular, specialized AI capabilities.

What is progressive disclosure in AI skill design?▼

Progressive disclosure in AI skill design is a best practice that manages complexity by revealing information only as needed. It helps maintain conciseness and sets appropriate degrees of freedom for the AI agent during execution.

What is the best way to structure documentation for an AI agent skill?▼

The best way to structure AI skill documentation is using the SKILL.md anatomy alongside bundled scripts and references. This ensures optimal AI performance by adhering to design principles like conciseness and progressive disclosure.

Do I need Python to build an AI skill with this workflow?▼

Python 3 is required as a dependency to build and refine AI skills using this workflow. The environment supports packaging Python scripts and reference materials to extend AI agent capabilities effectively.

How do I bundle scripts and references when building AI skills?▼

Bundling scripts and references when building AI skills requires organizing them into a packaged structure alongside SKILL.md. This resource bundling follows best practices for structure and content to extend AI capabilities efficiently.

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