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skill-creator

Create, test, and validate AI skills with Python validation scripts.

3|Updated Apr 30, 2026
Search Tags:#automation#development#validation#AI skills#benchmark
One-click install
npx skills add https://github.com/ribeirogab/agent-skills --skill skill-creator-ribeirogab
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/ribeirogab/agent-skills/tree/main/.claude/skills/skill-creator
Command: npx skills add https://github.com/ribeirogab/agent-skills --skill skill-creator-ribeirogab

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires yaml, zipfile, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a comprehensive suite of tools for creating, improving, and validating AI skills, streamlining the development cycle.

Core Features & Use Cases

  • Skill Development: Write, test, and iterate on new skills from scratch or existing templates.
  • Validation and Validation Scripts: Autonomously check skills for errors, formatting, and adherence to standards.
  • Evaluation and Benchmarking: Run tests, generate quantitative metrics, and compare skill variants for quality.
  • Use Case: A team develops a new PDF extraction skill, validates its formatting using skill-improver, benchmarks its performance with aggregate_benchmark.py, and refines its description via improve_description.

Quick Start

Use skill-creator to generate a new skill file, validate its formatting, and initiate an iterative improvement process.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I validate AI skills for formatting standards and functional correctness?▼

You can validate AI skills by running validation scripts like quick_validate.py, which autonomously check skills for formatting errors and functional correctness to ensure they meet required development standards.

What is the best way to benchmark AI skill performance during development?▼

To benchmark AI skill performance, use aggregate_benchmark.py to run tests, generate quantitative metrics, and compare skill variants for quality assurance and iterative improvement.

Can I use automation scripts to package AI skills for deployment?▼

Yes, you can use package_skill.py to automate the packaging of AI skills, preparing them for deployment and ensuring they meet formatting standards before distribution.

Do I need yaml and zipfile dependencies to build and test AI skills?▼

Yes, yaml and zipfile are required dependencies to build, test, and validate AI skills, as the scripts rely on them for configuration parsing and asset packaging.

How do I improve an existing AI skill description for better performance?▼

You can improve an AI skill description by using the improve_description script, which refines the text to enhance clarity and performance during the iterative development workflow.

What tools are available for rapid creation and testing of AI skills?▼

The skill-creator provides a suite of scripts and validation tools that facilitate rapid creation, testing, and validation of AI skills from scratch or existing templates.

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