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xleliberty
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skill-creator

Develop, test, and optimize custom AI skills with automated benchmarking.

Updated Nov 3, 2016
Search Tags:#automation#skill development#prompt engineering#benchmarking#evaluation#ai engineering
One-click install
npx skills add https://github.com/xleliberty/mydotfiles --skill skill-creator-xleliberty
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/xleliberty/mydotfiles/tree/main/.config/.claude/plugins/marketplaces/claude-plugins-official/plugins/skill-creator/skills/skill-creator
Command: npx skills add https://github.com/xleliberty/mydotfiles --skill skill-creator-xleliberty

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill solves the challenge of creating high-quality, reliable AI skills by providing a structured, iterative framework for development, testing, and performance benchmarking.

Core Features & Use Cases

  • Iterative Development: Guides you through the entire lifecycle of skill creation, from intent capture to final refinement.
  • Quantitative Benchmarking: Automates the execution of test cases and generates comparative metrics to ensure your skill performs consistently.
  • Trigger Optimization: Includes a specialized loop to refine your skill's description, ensuring it triggers accurately when needed.
  • Use Case: If you want to build a custom skill for your team to automate report generation, this tool helps you draft the instructions, create test prompts, evaluate the output quality, and optimize the triggering mechanism.

Quick Start

Use the skill-creator to help me draft a new skill for summarizing technical documentation and setting up an evaluation loop.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I build and test AI skills iteratively?▼

Iterative AI skill development involves a structured framework for end-to-end creation, automated test case execution, and quantitative benchmarking. This manages test execution and performance analysis to ensure reliable, high-performance skill outputs.

What is quantitative benchmarking for prompt engineering?▼

Quantitative benchmarking for prompt engineering is the automated execution of test cases to generate comparative performance metrics. It evaluates output consistency and quality, enabling iterative refinement of custom AI skills through objective performance analysis.

Can I automate trigger description optimization for AI skills?▼

Yes, you can automate trigger description optimization using a specialized refinement loop. This improves how accurately an AI skill triggers when needed, ensuring the skill activates reliably in response to the correct user prompts.

Does skill development require manual evaluation of test cases?▼

Skill development does not require manual evaluation when using automated benchmarking frameworks. The system automates test case execution and generates comparative metrics to evaluate output quality, enabling continuous refinement without manual assessment.

What is the best way to evaluate custom AI skill performance?▼

The best way to evaluate custom AI skill performance is through quantitative benchmarking that automates test case execution. This generates comparative metrics for objective performance analysis, ensuring your skill performs consistently across different scenarios.

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