skill-creator

Guide creating and structuring AI skills with SKILL.md and resource bundling.

Updated Feb 11, 2026
One-click install
npx skills add https://github.com/daodaolee/ai-driven-sdlc --skill skill-creator-daodaolee
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/daodaolee/ai-driven-sdlc/tree/main/.agents/skills/skill-creator
Command: npx skills add https://github.com/daodaolee/ai-driven-sdlc --skill skill-creator-daodaolee

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides guidance for creating effective skills, which are modular, self-contained packages that extend AI capabilities with specialized knowledge, workflows, or tool integrations.

Core Features & Use Cases

  • Skill Anatomy: Explains the structure of a skill (SKILL.md, scripts/, references/, assets/).
  • Design Principles: Covers conciseness, progressive disclosure, and setting degrees of freedom.
  • Creation Process: Details the steps for understanding, planning, initializing, editing, packaging, and iterating on a skill.
  • Use Case: When you need to build a new AI skill or improve an existing one, this guide will walk you through the best practices and required steps.

Quick Start

Use the skill-creator skill 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 an AI agent skill from scratch?

To create an AI agent skill, structure a modular package containing a SKILL.md file with specialized knowledge, alongside bundled scripts, references, and assets to extend AI workflows.

What is progressive disclosure in skill creation?

Progressive disclosure in skill creation is a design principle that structures AI workflows by revealing information sequentially, ensuring conciseness while setting appropriate degrees of freedom for the agent.

What is the best way to structure prompt engineering resources for AI workflows?

The best way to structure prompt engineering resources is to organize them into modular, self-contained directories, separating SKILL.md instructional content from executable scripts and static references.

How does the iterative development process work for workflow automation skills?

The iterative development process for workflow automation skills involves continuously cycling through understanding, planning, initializing, editing, and packaging to refine AI agent capabilities and knowledge integration.

Do I need to bundle scripts and references when building a developer guide skill?

Yes, you need to bundle scripts and references when building a developer guide skill to ensure the AI agent has self-contained access to specialized knowledge and required tool integrations.

Why set degrees of freedom for AI agent workflows?

You set degrees of freedom for AI agent workflows to constrain autonomous decision-making, ensuring the skill operates safely within predefined boundaries while executing specialized tasks.