skill-creator

Create, refine, and evaluate AI skills with SKILL.md and test cases.

56|18|Updated Apr 26, 2022
One-click install
npx skills add https://github.com/nuclia/frontend --skill skill-creator-nuclia
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/nuclia/frontend/tree/main/.claude/skills/skill-creator
Command: npx skills add https://github.com/nuclia/frontend --skill skill-creator-nuclia

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 easier for users to build powerful custom tools.

Core Features & Use Cases

  • Skill Creation: Guides users through drafting new skills from scratch.
  • Iterative Improvement: Helps refine existing skills based on user feedback and performance metrics.
  • Testing & Evaluation: Runs automated tests to benchmark skill performance and identify areas for improvement.
  • Description Optimization: Fine-tunes 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 initial prompt, write test cases, run evaluations, and optimize the description so Claude uses it effectively.

Quick Start

Use the skill creator to help me draft a new skill that can summarize technical documentation.

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 test an AI skill from scratch?

To create an AI skill from scratch, you define the skill intent and draft the initial SKILL.md content. You then generate test cases, run automated evaluations with baseline comparisons, and analyze the results to refine the skill performance.

What is AI skill description optimization and when do I need it?

AI skill description optimization fine-tunes the SKILL.md content for enhanced triggering accuracy. You need it when your custom AI tools fail to activate or execute correctly in response to user inputs.

Can I benchmark existing AI skills against a baseline?

Yes, you can benchmark existing AI skills against a baseline. The skill development lifecycle supports running automated tests to evaluate performance metrics, identify areas for improvement, and guide iterative refinement.

How do I write effective test cases for prompt engineering?

Writing effective test cases for prompt engineering involves defining specific scenarios to evaluate skill intent. You generate test cases within the development lifecycle, run evaluations, and analyze the results to measure performance.

What is the best way to refine an AI skill that is not triggering properly?

The best way to refine an AI skill that is not triggering properly is through description optimization. You fine-tune the skill descriptions to improve triggering accuracy and run iterative evaluations to verify the enhancement.

Are there limitations to iterative AI skill improvement using this approach?

Iterative AI skill improvement relies on generating relevant test cases and analyzing baseline comparisons. If the initial skill intent is poorly defined or test cases lack coverage, the evaluation results may not identify the true areas for improvement.