skill-creator

Guide creation, structuring, and packaging of AI skills with validation.

31|9|Updated Feb 12, 2026
One-click install
npx skills add https://github.com/codemo1991/nanobot-webui --skill skill-creator-codemo1991
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/codemo1991/nanobot-webui/tree/main/nanobot/skills/skill-creator
Command: npx skills add https://github.com/codemo1991/nanobot-webui --skill skill-creator-codemo1991

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a comprehensive guide and tools for creating, structuring, and packaging new AI skills, ensuring they are efficient, well-organized, and ready for deployment.

Core Features & Use Cases

  • Skill Development Guidance: Offers principles for designing effective skills, including conciseness, appropriate freedom degrees, and progressive disclosure.
  • Resource Management: Details the use of scripts/, references/, and assets/ for modular skill design.
  • Packaging and Validation: Includes steps and commands for initializing, editing, and packaging skills into distributable formats.
  • Use Case: A developer needs to create a new skill to interact with a specific API. They would use this skill to understand the best practices for structuring the skill's code, documentation, and any necessary reference materials, and then use the provided scripts to initialize and package the skill.

Quick Start

Use the skill-creator to understand the process of creating 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 structure and package an AI skill for deployment?

To structure and package an AI skill, you should use modular directories like scripts/ and references/ for resource management, then follow validation steps to compile the skill into a distributable format.

What are the best practices for agent development and skill creation?

Best practices for agent development emphasize designing modular skills with appropriate freedom degrees, ensuring conciseness, and applying progressive disclosure to maintain efficiency and discoverability.

How do I manage resources like scripts and references when building AI skills?

Resource management for AI skills involves utilizing specific directories such as scripts/ for executable logic, references/ for documentation, and assets/ for supplementary files to maintain a modular structure.

What is the process to initialize and validate a new skill before distribution?

The process to initialize and validate a skill involves using provided development lifecycle commands to generate the foundational structure, edit content, and package the skill for final distribution.

Can I use this skill creation guide to build an agent that interacts with a specific API?

Yes, you can use this skill creation guide to develop an agent for a specific API by structuring the necessary code, documentation, and reference materials according to the provided packaging principles.

When should I modularize my AI skill components during the development lifecycle?

You should modularize AI skill components during initial development by separating code into scripts/ and documentation into references/, ensuring the skill remains efficient and well-organized before final packaging.