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claude-skill-creator-skill-creator

Create, modify, and evaluate skills with Python-based benchmarking workflows.

Updated May 21, 2026
Search Tags:#skill creation#machine learning#AI development#skill optimization#performance measurement
One-click install
npx skills add https://github.com/saadmsft/ghcp-plugins-unofficial --skill claude-skill-creator-skill-creator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: claude-skill-creator-skill-creator
Source: https://github.com/saadmsft/ghcp-plugins-unofficial/tree/main/plugins/skill-creator/skills/claude-skill-creator-skill-creator
Command: npx skills add https://github.com/saadmsft/ghcp-plugins-unofficial --skill claude-skill-creator-skill-creator

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill empowers users to create new skills, modify existing ones, and measure their performance, streamlining the iterative process of skill development.

Core Features & Use Cases

  • Skill Creation: Start from scratch or improve existing skills.
  • Performance Measurement: Run evaluations to test and benchmark skill performance.
  • Description Optimization: Optimize skill descriptions for better triggering accuracy.
  • Use Case: A user wants to create a skill that extracts text from PDFs. This Skill guides them through the process, from defining the skill's purpose to running tests and iterating based on feedback.

Quick Start

Use the claude-skill-creator skill to create a skill that extracts text from PDFs.

Frequently Asked Questions about claude-skill-creator-skill-creator

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

FAQPage Schema
How do I create and evaluate AI development skills from scratch?▼

Skill creation involves defining the skill purpose, running Python evaluation scripts to benchmark performance, and iterating based on feedback to optimize description triggering accuracy.

What is the best way to optimize skill descriptions for better triggering accuracy?▼

The best way to optimize skill descriptions is by running evaluations to benchmark performance measurement results and iterating the text based on direct feedback.

Do I need Python and pandas to run skill performance measurement benchmarks?▼

Yes, running skill performance measurement and benchmarking scripts requires Python, pandas, and numpy dependencies installed in your environment.

Can I modify existing machine learning skills instead of starting from scratch?▼

Yes, you can modify existing machine learning skills by adjusting descriptions, running performance evaluations, and iterating based on benchmarking feedback.

How does performance measurement work during skill optimization?▼

Performance measurement works by executing Python evaluation scripts that benchmark skill outputs, generating feedback to guide iterative skill optimization.

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