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drxaibi
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skill-creator

Create, refine, and evaluate AI skills with automated testing.

Updated Mar 9, 2026
Search Tags:#automation#skill development#AI tools#prompt engineering#evaluation#iterative refinement
One-click install
npx skills add https://github.com/drxaibi/vibe-setup --skill skill-creator-drxaibi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/drxaibi/vibe-setup/tree/main/.github/skills/skill-creator
Command: npx skills add https://github.com/drxaibi/vibe-setup --skill skill-creator-drxaibi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the entire process of creating, improving, and evaluating AI-powered skills, making it easier to build powerful and accurate AI tools.

Core Features & Use Cases

  • Skill Creation: Guide users through defining intent, triggers, and output formats for new skills.
  • Iterative Improvement: Refine existing skills based on test case results and user feedback.
  • Performance Evaluation: Run automated tests and benchmarks to measure skill accuracy and efficiency.
  • Description Optimization: Automatically tune skill descriptions for better triggering accuracy.
  • Use Case: You have an idea for a new AI skill to summarize meeting notes. Use this Skill to draft the SKILL.md, create test cases, run evaluations, and optimize the description so Claude uses it effectively.

Quick Start

Use the skill-creator to help me build a new skill that summarizes meeting notes.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I build an AI tool from a prompt idea?▼

To build an AI tool, this Skill guides you through defining intent, triggers, and output formats to draft the initial skill structure. It supports the end-to-end lifecycle from initial conception through automated testing.

How do I evaluate AI prompt accuracy with automated testing?▼

You evaluate AI prompt accuracy by running automated tests and benchmarks within the execution environment. This measures skill performance and highlights areas needing iterative refinement.

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

Optimizing AI skill descriptions involves automatically tuning the metadata to improve triggering accuracy. This ensures the correct skill is selected and executed when users submit relevant queries.

Can I refine existing AI skills based on test case results?▼

Yes, you can refine existing AI skills by analyzing test case results and user feedback. This iterative improvement workflow allows you to modify and enhance performance over time.

Do I need specific frameworks to start developing AI skills?▼

No external frameworks are required to start developing AI skills. This Skill operates independently with internal scripts and references, integrating directly with internal LLM execution environments for analysis.

Why does my AI skill trigger inaccurately during execution?▼

Inaccurate AI skill triggering often occurs when descriptions are poorly tuned. Use the description optimization feature to automatically refine triggers and improve execution accuracy.

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