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skill-creator

Create and refine AI skills with SKILL.md and automated evaluations.

Updated Jan 22, 2024
Search Tags:#automation#skill development#prompt engineering#evaluation#ai skills#llm agents
One-click install
npx skills add https://github.com/nathankoerschner/dotfiles --skill skill-creator-nathankoerschner
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/nathankoerschner/dotfiles/tree/main/agent-skills/_shared-skills/skill-creator
Command: npx skills add https://github.com/nathankoerschner/dotfiles --skill skill-creator-nathankoerschner

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 and improving AI skills, from initial concept to robust performance evaluation, making AI development accessible and efficient.

Core Features & Use Cases

  • Skill Creation: Guides users through defining intent, writing SKILL.md, and structuring skill directories.
  • Iterative Improvement: Facilitates testing, evaluation, and refinement based on user feedback and performance metrics.
  • Description Optimization: Enhances skill triggering accuracy through automated prompt testing and analysis.
  • Use Case: You have an idea for a new AI skill to manage project documentation. Use this Skill to draft the SKILL.md, create test cases, run evaluations, and optimize the description so the AI reliably uses your new skill.

Quick Start

Use the skill creator to start building a new skill for summarizing 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 and structure a new AI skill from scratch?▼

To create an AI skill, you define its intent and write a structured SKILL.md file to guide the LLM agent. This process structures skill directories to streamline the end-to-end lifecycle of AI skill development.

What is automated skill evaluation and how does it improve LLM agents?▼

Automated skill evaluation tests AI skills using baseline comparisons alongside qualitative and quantitative metrics. It validates robust performance and ensures LLM agents trigger the correct skills reliably.

How can I optimize an AI skill description for better agentic triggering?▼

You optimize AI skill descriptions through automated prompt testing and analysis to enhance triggering accuracy. This description tuning ensures the LLM agent reliably invokes your skill when needed.

Can I iteratively refine AI skills using performance metrics and user feedback?▼

Yes, you can iteratively refine AI skills by running evaluations and analyzing performance metrics against baselines. This facilitates continuous improvement based on quantitative test results and user feedback.

Do I need an existing evaluation framework to validate AI skills?▼

No external framework is required as this skill integrates with evaluation frameworks directly to validate robust skill performance. It provides automated testing with baseline comparisons out of the box.

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