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lvzhengbin
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skill-creator

Create and refine AI skills with SKILL.md files and evaluation loops.

2|1|Updated May 30, 2025
Search Tags:#skill development#prompt engineering#optimization#evaluation#ai agent#llm tools
One-click install
npx skills add https://github.com/lvzhengbin/AI-Prompts --skill skill-creator-lvzhengbin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/lvzhengbin/AI-Prompts/tree/main/skills/skill-creator
Command: npx skills add https://github.com/lvzhengbin/AI-Prompts --skill skill-creator-lvzhengbin

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 skills, making it accessible for users of all technical backgrounds.

Core Features & Use Cases

  • Skill Creation: Guides users through defining intent, interviewing for edge cases, and writing SKILL.md files.
  • Iterative Improvement: Facilitates testing, feedback collection, and refinement of skills based on performance metrics.
  • Description Optimization: Automatically tunes skill descriptions for better triggering accuracy using an evaluation loop.
  • 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 create an AI agent skill from scratch?▼

To create an AI agent skill, use this tool to define your intent, interview for edge cases, and generate the SKILL.md file, which serves as the foundational prompt logic for the agent.

How can I optimize AI skill descriptions for better LLM triggering?▼

Optimize AI skill descriptions by running an automated evaluation loop that tunes the text for better triggering accuracy, ensuring the LLM invokes the correct skill based on user intent.

What is the process for testing and refining prompt engineering logic?▼

Testing and refining prompt engineering logic involves iteratively running evaluations, collecting performance feedback, and updating the skill definitions to improve benchmarking metrics.

Do I need prior coding experience to build and evaluate LLM tools?▼

No, you do not need prior coding experience to build and evaluate LLM tools. This skill streamlines the end-to-end lifecycle, making development accessible for users of all technical backgrounds.

Can I benchmark AI skill performance against test cases automatically?▼

Yes, you can benchmark AI skill performance automatically. It integrates with evaluation frameworks to test skills against specific cases and analyze performance metrics for iterative refinement.

Why is my AI agent not triggering the correct skill?▼

An AI agent fails to trigger the correct skill when descriptions are poorly tuned. Use the automated description optimization feature to run evaluation loops and refine the matching accuracy.

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