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create-skill

Create, modify, and evaluate AI skills with Python scripting.

88|19|Updated Apr 30, 2026
Search Tags:#skill creation#AI development#evaluation#AI optimization#performance measurement
One-click install
npx skills add https://github.com/Heartcoolman/warp-cn --skill create-skill-heartcoolman
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: create-skill
Source: https://github.com/Heartcoolman/warp-cn/tree/main/resources/bundled/skills/create-skill
Command: npx skills add https://github.com/Heartcoolman/warp-cn --skill create-skill-heartcoolman

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill empowers you to create new AI skills, modify existing ones, and measure their performance, streamlining the development process and ensuring optimal functionality.

Core Features & Use Cases

  • Skill Creation: Start from scratch or build upon existing skills, defining the scope and functionality.
  • Modifications & Optimization: Refine skills based on user feedback and performance metrics.
  • Performance Measurement: Run evaluations and benchmarking to assess skill effectiveness.

Quick Start

Run the 'create-skill' skill with the desired prompt to initiate the skill creation process.

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 evaluate custom AI skills for Python automation?▼

To create and evaluate AI skills for Python automation, you use a framework supporting agent-based execution and Python scripting to define scope, run evaluations, and benchmark performance metrics for optimization.

What is the best way to measure AI skill performance and benchmark effectiveness?▼

The best way to measure AI skill performance is by running evaluations and benchmarking assessments using agent-based execution tools to capture metrics, enabling data-driven optimization and modifications.

Do I need Python scripting knowledge to modify and optimize existing AI applications?▼

Yes, Python scripting is required to modify and optimize AI applications. The skill creation process relies on Python dependencies like pypdf, pdfplumber, and pdf2image to automate analysis and implement performance refinements.

Can I use pypdf and pdfplumber for AI development and performance measurement?▼

Yes, pypdf and pdfplumber are supported dependencies for AI development. They facilitate document data extraction and analysis, which are essential for automating evaluations and measuring skill performance accurately during optimization.

Why does my AI skill evaluation return inconsistent performance metrics during benchmarking?▼

Inconsistent performance metrics during AI skill evaluation often stem from unoptimized logic or varying input data. Running systematic evaluations and modifying the skill based on agent-based execution feedback helps stabilize benchmarking results.

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