skill-creator

Create, modify, and optimize AI skills with test cases and evaluation.

1|Updated May 22, 2023
One-click install
npx skills add https://github.com/WilsonNet/.dotfiles --skill skill-creator-wilsonnet
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/WilsonNet/.dotfiles/tree/main/.config/opencode/skills/skill-creator
Command: npx skills add https://github.com/WilsonNet/.dotfiles --skill skill-creator-wilsonnet

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a comprehensive framework for creating, modifying, and optimizing AI skills, enabling users to efficiently develop and refine their models.

Core Features & Use Cases

  • Skill Creation: Assist users in creating new skills from scratch, defining their functionality, and setting up test cases.
  • Skill Modification: Allow users to edit existing skills, retest them, and make improvements based on feedback.
  • Skill Optimization: Provide tools and guidance for optimizing skill descriptions for better triggering accuracy and performance.
  • Use Case: Suppose you want to build a skill that generates code snippets based on user requirements. Use this Skill to define the skill's behavior, test it, get feedback, and refine it until it meets your expectations.

Quick Start

To create a new skill, start by specifying the desired functionality, define the trigger conditions, and provide the expected output format. The Skill Creator will guide you through the process of defining the skill, setting up test cases, and evaluating its performance.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I create a new AI skill from scratch?

To create a new AI skill, specify its desired functionality, define trigger conditions, and provide the expected output format. The framework then guides you through setting up test cases and evaluating performance to refine the model.

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

Optimizing AI skill descriptions requires using dedicated tools to evaluate performance and refine trigger conditions. This process improves triggering accuracy by testing the skill against defined cases and incorporating feedback.

Can I modify and retest an existing AI skill to improve its performance?

Yes, you can modify existing AI skills by editing their definitions and retesting them. This allows you to make iterative improvements based on direct feedback until the model meets your expectations.

Do I need to understand AI skill architecture to use this creation hub?

Yes, a deep understanding of AI skill architecture is required. The framework facilitates interaction with various skill components, demanding advanced technical knowledge to properly define, test, and evaluate models.

What are the limitations when modifying AI skills with this framework?

The framework requires advanced knowledge of AI skill architecture and depends on specific scripts and references. Users lacking this technical background or these dependencies may struggle to effectively evaluate and refine models.