create-skill

Create, refine, and assess AI skills using Python.

30|4|Updated May 3, 2026
One-click install
npx skills add https://github.com/OniroHuaver/openwarp --skill create-skill-onirohuaver
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: create-skill
Source: https://github.com/OniroHuaver/openwarp/tree/main/resources/bundled/skills/create-skill
Command: npx skills add https://github.com/OniroHuaver/openwarp --skill create-skill-onirohuaver

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, scikit-learn, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill empowers users to create, refine, and measure the performance of AI skills. It's ideal for those who want to build, optimize, or evaluate AI skills from scratch.

Core Features & Use Cases

  • Skill Creation: Facilitates the development of new AI skills.
  • Skill Refinement: Assists in improving existing skills based on user feedback and performance metrics.
  • Performance Measurement: Evaluates skill performance through quantitative and qualitative analysis.
  • Use Case: A user with limited AI expertise can use this Skill to build a skill that generates personalized recommendations based on user preferences and historical data.

Quick Start

Use the create-skill to guide a user through the process of creating a new skill for generating personalized recommendations.

Frequently Asked Questions about create-skill

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

FAQPage Schema
How do I create and refine AI skills using Python?

To create and refine AI skills using Python, this Skill guides you through iterative development and performance analysis, supporting libraries like pandas, numpy, and scikit-learn for task execution and evaluation.

How does performance measurement work for AI skill development?

Performance measurement for AI skill development works by evaluating skills through quantitative and qualitative analysis, allowing you to iteratively improve existing skills based on direct feedback and metrics.

Do I need advanced programming knowledge to build AI skills?

You need Python programming knowledge and a foundational understanding of AI development to build AI skills effectively, although the Skill itself can guide users with limited AI expertise through the creation process.

Can I use pandas and scikit-learn for AI skill performance measurement?

Yes, you can use pandas, numpy, and scikit-learn to support AI skill performance measurement, as these dependencies are integrated for task execution and comprehensive evaluation within the Python environment.

What is the best way to evaluate a personalized recommendation AI skill?

The best way to evaluate a personalized recommendation AI skill is to use this Skill's performance measurement capabilities to analyze historical data and user preferences through both quantitative and qualitative metrics.

Why is iterative development important for AI skill refinement?

Iterative development is important for AI skill refinement because it allows you to continuously improve existing skills based on user feedback and performance metrics, ensuring your AI solutions remain accurate and effective.