skill-creator

Create, modify, test, and benchmark AI skills with variance analysis.

Updated Mar 8, 2026

Search Tags:#prompt engineering #optimization #ai development #skill creation #evaluation #llm skills

Ready to run

npx skills add https://github.com/xabierlameiro/price-tracker --skill skill-creator-xabierlameiro

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/xabierlameiro/price-tracker/tree/main/.agents/skills/skill-creator
Command: npx skills add https://github.com/xabierlameiro/price-tracker --skill skill-creator-xabierlameiro

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 accessible even for those new to AI development.

Core Features & Use Cases

Skill Creation: Guides users through defining intent, writing instructions, and structuring skills.
Iterative Improvement: Facilitates testing, evaluation, and refinement based on user feedback and performance metrics.
Description Optimization: Automatically tunes skill descriptions for better triggering accuracy.
Use Case: You have an idea for a new AI skill to help draft marketing copy. Use this Skill to define its purpose, write its instructions, test it with example prompts, and optimize its description so Claude uses it effectively.

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 test AI skills for LLM applications?▼

You can create and test AI skills by defining the intent, writing instructions, and running evaluations to measure performance. This facilitates the entire skill creation workflow from initial structure to iterative refinement.

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

Optimizing skill descriptions involves automatically tuning the text to improve triggering accuracy. This ensures the AI effectively selects and uses the correct skill based on user prompts during interactions.

Can I benchmark LLM skill effectiveness with variance analysis?▼

Yes, you can benchmark skill effectiveness by running evaluations that include variance analysis. This measures performance fluctuations to ensure consistent and reliable AI skill behavior across different test scenarios.

Do I need prior prompt engineering experience to modify existing AI skills?▼

No prior prompt engineering experience is required to modify existing AI skills. The process streamlines updates and iterative improvements, making AI development accessible even for new users modifying skill logic.

How does iterative improvement work for AI skill development?▼

Iterative improvement works by facilitating testing, evaluation, and refinement based on user feedback and performance metrics. This allows you to continuously update existing skills to achieve optimal results.