skill-creator

Create, modify, and optimize AI skills through iterative testing.

Updated Mar 14, 2026
One-click install
npx skills add https://github.com/Alexbyxd/microservicio-venta-celulares --skill skill-creator-alexbyxd
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/Alexbyxd/microservicio-venta-celulares/tree/main/backend/.agents/skills/skill-creator
Command: npx skills add https://github.com/Alexbyxd/microservicio-venta-celulares --skill skill-creator-alexbyxd

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the process of creating, modifying, and optimizing AI skills, reducing time spent on iterative development and improving skill performance.

Core Features & Use Cases

  • Skill Creation: Assist in the creation of new skills from scratch.
  • Skill Improvement: Enhance existing skills through iterative testing and feedback.
  • Performance Measurement: Benchmark skill performance and optimize for better triggering accuracy.
  • Use Case: A developer wants to create a new skill for data analysis. This Skill guides them through defining the skill's purpose, writing the necessary code, running tests, and iterating based on feedback.

Quick Start

Use the skill-creator skill to generate a draft for a new skill focused on data analysis.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
What is the best way to create an AI skill from scratch?

Creating an AI skill from scratch is best handled through a structured framework for iterative development, which guides you in defining the skill's purpose, writing necessary code, and running tests.

How do I optimize AI skill performance and triggering accuracy?

To optimize AI skill performance, use iterative testing and benchmarking tools to measure execution results, evaluate feedback, and refine the skill architecture for better triggering accuracy.

Do I need a comprehensive understanding of skill architecture to modify an existing AI skill?

Yes, modifying an existing AI skill requires a comprehensive understanding of skill architecture and execution to effectively apply iterative testing and enhance performance optimization.

How does iterative testing improve AI skill development?

Iterative testing improves AI skill development by allowing you to run evaluations, gather feedback, and benchmark performance, which streamlines modifications and reduces overall development time.

What scripts and tools are needed for AI skill evaluation?

AI skill evaluation utilizes various scripts and references included in the skill's assets to test execution, measure performance, and validate the iterative development lifecycle.

Can I use this framework to benchmark a data analysis skill?

Yes, you can use this framework to benchmark a data analysis skill by guiding its creation, running iterative tests, and optimizing its performance based on measured feedback.