skill-creator

Create, modify, and benchmark AI skills using Python and YAML.

3.6k|505|Updated Feb 9, 2026
One-click install
npx skills add https://github.com/TinyAGI/tinyagi --skill skill-creator-tinyagi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/TinyAGI/tinyagi/tree/main/.agents/skills/skill-creator
Command: npx skills add https://github.com/TinyAGI/tinyagi --skill skill-creator-tinyagi

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of creating, modifying, and optimizing AI skills, enabling users to develop and refine their skills efficiently.

Core Features & Use Cases

  • Skill Creation: Facilitates the creation of new skills from scratch.
  • Skill Modification: Allows for editing and improving existing skills.
  • Performance Measurement: Provides tools to benchmark and optimize skill performance.
  • Use Case: Ideal for users who want to build a skill from an idea, refine an existing skill, or enhance the triggering accuracy of a skill.

Quick Start

Run the skill-creator to begin creating or modifying your AI skills.

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 optimize AI skills from scratch?

To create and optimize AI skills, you need a framework that supports iterative development and performance benchmarking. This skill provides the necessary scripts and references to build new skills from scratch, refine existing ones, and enhance triggering accuracy.

Can I use Python to benchmark AI skill performance?

Yes, you can use Python to benchmark AI skill performance. The framework requires Python for script execution and provides dedicated tools to measure, evaluate, and optimize the operational performance of your AI skills.

What is the best way to modify and improve existing AI skills?

The best way to modify existing AI skills is using an iterative framework that allows editing and refining configurations. This skill supports modifying existing skills by providing structured references and optimization tools to enhance their triggering accuracy.

Do I need YAML to configure new AI skills?

Yes, you need YAML to configure new AI skills. The framework requires YAML for configuration management alongside Python for executing the scripts that drive skill creation and optimization.