skill-creator

Create, modify, and optimize skills with Python scripting and performance evaluation.

Updated Mar 15, 2026
One-click install
npx skills add https://github.com/yash-7575/all --skill skill-creator-yash-7575
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/yash-7575/all/tree/main/skills%20copy/skill-creator
Command: npx skills add https://github.com/yash-7575/all --skill skill-creator-yash-7575

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill unit enables users to create new skills from scratch, edit and optimize existing ones, and measure skill performance for enhanced triggering accuracy and quality.

Core Features & Use Cases

  • Skill Creation: Draft new skills and provide initial prompts and tests.
  • Skill Improvement: Refine and iterate on existing skills based on evaluation and feedback.
  • Skill Performance Measurement: Benchmark skill performance using variance analysis and optimize descriptions for better triggering.
  • Use Case: If a user wants to build a skill that generates summaries of long articles, they can use the Skill Creator to outline the skill's function, create test cases, and iterate on the skill's accuracy and performance.

Quick Start

Use the skill-creator skill to help a user create a new skill for generating summaries from articles.

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 iterate on skills for Claude?

To create and iterate on skills for Claude, use a framework that facilitates drafting initial prompts, refining existing skills, and evaluating performance to optimize descriptions for better triggering accuracy.

How does skill performance measurement work for triggering accuracy?

Skill performance measurement uses variance analysis to benchmark effectiveness, allowing you to evaluate test cases and optimize descriptions to ensure accurate skill triggering in various contexts.

Do I need Python and machine learning libraries to optimize skill descriptions?

Yes, skill optimization requires Python for scripting along with pandas, numpy, and matplotlib to run evaluation scripts, perform variance analysis, and generate visual performance benchmarks.

What is the best way to modify an existing skill to improve its quality?

The best way to modify an existing skill is through an iterative development process that incorporates performance evaluation and feedback, allowing you to refine descriptions and enhance overall triggering quality.

Can I use this framework to build a skill that generates summaries from long articles?

Yes, you can outline a summarization skill's function, create specific test cases for article inputs, and iteratively develop the skill to improve its summarization accuracy and performance.