skill-creator

Create and validate standardized directories for modular AI agent skills.

7|5|Updated May 7, 2026
One-click install
npx skills add https://github.com/14790897/MiQi --skill skill-creator-14790897
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/14790897/MiQi/tree/main/miqi/skills/skill-creator
Command: npx skills add https://github.com/14790897/MiQi --skill skill-creator-14790897

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill solves the challenge of creating consistent, high-quality, and reusable agent capabilities by providing a standardized framework for structuring procedural knowledge and bundled resources.

Core Features & Use Cases

  • Standardized Packaging: Automates the creation and validation of skill directories, ensuring all required metadata and structures are present.
  • Context Optimization: Implements progressive disclosure patterns to keep the agent's context window clean by separating core instructions from detailed references and scripts.
  • Use Case: Use this skill when you need to build a new capability for your agent, such as a specialized code-review tool or a domain-specific documentation assistant, to ensure it is properly initialized and ready for distribution.

Quick Start

Use the skill-creator to initialize a new skill named project-manager with scripts and references support in the current directory.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I package modular AI skills for agent-based task automation?

Packaging modular AI skills involves structuring scripts, references, and assets within a standardized directory architecture to ensure compliance with metadata requirements for agent-based task automation. This approach enforces consistent directory structures and context-efficient design patterns.

What is the best way to structure procedural knowledge for a new AI agent capability?

Structuring procedural knowledge for a new AI agent capability is best handled by separating core instructions from detailed references and scripts. This progressive disclosure pattern keeps the agent's context window clean and maintains high-quality, reusable capabilities within a standardized framework.

How do I create a specialized workflow for a domain-specific documentation assistant?

To create a specialized workflow for a domain-specific documentation assistant, you initialize a standardized skill directory that manages bundled scripts and references. This ensures the specialized capability is properly structured, validated, and ready for distribution.

Does this skill development framework support managing scripts and references together?

Yes, this skill development framework supports managing scripts and references together by maintaining them within a standardized directory architecture. It validates that all required metadata and bundled resources are present for context-efficient design patterns.

Why does my agent's context window get cluttered when adding new automation workflows?

Agent context windows become cluttered when adding new automation workflows because core instructions and detailed references are not properly separated. Implementing progressive disclosure patterns within a standardized skill directory architecture keeps the context window clean and optimized.

When do I need to validate metadata requirements for AI workflow design?

You need to validate metadata requirements for AI workflow design during the creation and structuring of modular agent skills. This validation ensures compliance with the standardized directory architecture before the specialized capability is initialized and ready for distribution.