skill-creator

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

Updated Feb 22, 2026
One-click install
npx skills add https://github.com/DamienDrash/arni --skill skill-creator-damiendrash
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/DamienDrash/arni/tree/main/.claude/skills/skill-creator
Command: npx skills add https://github.com/DamienDrash/arni --skill skill-creator-damiendrash

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of developing and refining AI skills, providing a structured process for creating new skills, optimizing existing ones, and assessing their performance.

Core Features & Use Cases

  • Skill Creation: Assist users in crafting new skills from scratch.
  • Skill Modification: Refine and enhance existing skills based on user feedback.
  • Performance Measurement: Evaluate skill performance through variance analysis and testing.
  • Description Optimization: Optimize skill descriptions for better triggering accuracy.
  • Use Case: A user who wants to create a skill for handling customer inquiries can utilize this Skill to design the skill, test it, and iterate on it based on performance metrics.

Quick Start

Run the 'skill-creator' skill to begin the process of creating a new AI skill.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I create an AI skill from scratch?

To create an AI skill, run the skill-creator to access a structured process for designing new skills, executing Python scripts, and defining skill descriptions for accurate triggering. It provides a complete workflow from initial design to execution.

What is the best way to measure AI skill performance?

Measuring AI skill performance is done through variance analysis and testing features provided by the skill-creator. It evaluates execution results against defined metrics so you can iterate and refine existing skills based on concrete performance data.

Do I need Python to optimize AI skill descriptions?

Yes, you need Python installed to optimize AI skill descriptions, as the skill-creator requires Python scripts for skill execution and evaluation. Dependencies also include json, yaml, and requests to support the description optimization and testing processes.

Can I modify and iterate on existing AI skills based on feedback?

You can modify and iterate on existing AI skills by running the skill-creator to refine skill logic and optimize descriptions. It supports a continuous improvement loop where you apply user feedback, test performance metrics, and update the skill design accordingly.

When should I use a structured process for AI skill creation?

You should use a structured process for AI skill creation when you need to build complex skills like customer inquiry handlers and require built-in performance measurement. It ensures your skills are designed, tested, and optimized for triggering accuracy before deployment.