One-click install
npx skills add https://github.com/yukieiji/extremeroles.webui --skill skill-creator-yukieiji
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/yukieiji/extremeroles.webui/tree/main/.gemini/skills/skill-creator
Command: npx skills add https://github.com/yukieiji/extremeroles.webui --skill skill-creator-yukieiji

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, scikit-learn, transformers, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill unit allows users to create new skills from scratch, modify and improve existing skills, and measure skill performance. It streamlines the process of skill development and enhancement.

Core Features & Use Cases

  • Skill Creation: Create custom AI skills based on specific requirements and scenarios.
  • Skill Editing and Optimization: Modify existing skills to improve their performance and accuracy.
  • Skill Performance Measurement: Measure the performance of skills through evaluations and benchmarking.
  • Use Case: Imagine you need a skill to generate financial reports based on sales data. Use this Skill unit to create a new skill, specify the required inputs and outputs, and then optimize its performance through testing and iterative improvements.

Quick Start

Use the skill-creator skill to create a new skill for generating financial reports from sales data.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I create custom AI skills for specific task automation?

To create custom AI skills, use a development framework that allows you to define specific inputs, outputs, and processing logic, then iteratively refine the skill for your target application. This unit provides that framework.

What's the best way to optimize AI skills for better triggering accuracy?

Optimizing AI skills for triggering accuracy involves modifying existing skill logic and running performance evaluations. You benchmark the skill's outputs against expected results to identify and correct triggering inaccuracies.

Do I need Python and machine learning libraries to measure skill performance?

Yes, measuring AI skill performance requires Python alongside specific libraries like pandas, numpy, scikit-learn, and transformers to handle data processing, model evaluation, and benchmarking tasks.

Can I modify existing AI skills to improve their performance?

Yes, you can modify existing AI skills by editing their internal scripts and references. This allows you to adjust the processing logic and refine the skill for improved accuracy and application performance.

How does performance measurement work during AI skill development?

Performance measurement during AI skill development works by evaluating the skill against benchmarking tests. It analyzes the skill's outputs using data libraries to quantify accuracy and guide iterative improvements.

Are there limitations when using transformers for custom skill creation?

When using transformers for custom skill creation, limitations depend on your local environment's capacity to support the library. The skill's performance is constrained by how well the model handles your specific task's data formats and logic.