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skill-creator

Create, test, and refine AI skills with Python-based evaluation.

Updated Mar 1, 2026
Search Tags:#skill creation#AI development#skill refinement#skill evaluation#description optimization
One-click install
npx skills add https://github.com/cpfcoaching/glowing-palm-tree --skill skill-creator-cpfcoaching
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/cpfcoaching/glowing-palm-tree/tree/main/skills-library/skill-creator
Command: npx skills add https://github.com/cpfcoaching/glowing-palm-tree --skill skill-creator-cpfcoaching

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The Skill Creator addresses the challenges of skill development, offering a platform to create, refine, and evaluate AI skills efficiently.

Core Features & Use Cases

  • Skill Creation: Facilitates the creation of new skills and modification of existing ones.
  • Evaluation: Enables testing and benchmarking of skills through quantitative and qualitative evaluations.
  • Description Optimization: Helps optimize skill descriptions for better triggering accuracy.
  • Use Case: Suppose you want to develop a skill that summarizes meetings. Use the Skill Creator to draft the skill, run tests, get feedback, and iteratively improve the skill until it meets your expectations.

Quick Start

Use the skill-creator to generate a skill for summarizing meeting notes and provide feedback on the initial output.

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 evaluate an AI skill from scratch?▼

To optimize AI skill descriptions, use a framework that tests triggering accuracy and provides quantitative evaluations to iteratively refine the text for better performance.

How do I optimize AI skill descriptions for better triggering accuracy?▼

To optimize AI skill descriptions, use a framework that tests triggering accuracy and provides quantitative evaluations to iteratively refine the text for better performance.

Do I need Python to run AI skill evaluation and refinement tasks?▼

Yes, you need Python to execute the framework's scripts and run data analysis for skill evaluation and refinement tasks.

What is the best way to test and benchmark existing AI skills?▼

The best way to test and benchmark existing AI skills is to use a framework that runs detailed qualitative and quantitative evaluations to measure performance and guide modifications.

Can I use sklearn and pandas for AI skill development and evaluation?▼

Yes, you can use sklearn and pandas for AI skill development and evaluation, as these Python libraries serve as dependencies for running the framework's data processing and analysis scripts.

Why does my AI skill fail to trigger correctly in my workflow?▼

An AI skill fails to trigger correctly when its description lacks optimization, requiring you to run description evaluation tests and iteratively refine the text for better matching accuracy.

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