skill-creator

Create and refine AI skills with SKILL.md files and tests.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/roaming-rockenfels/ghostfolio --skill skill-creator-roaming-rockenfels
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/roaming-rockenfels/ghostfolio/tree/main/.agents/skills/skill-creator
Command: npx skills add https://github.com/roaming-rockenfels/ghostfolio --skill skill-creator-roaming-rockenfels

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 skills, making it accessible for users of all technical backgrounds.

Core Features & Use Cases

  • Skill Creation: Guide users through defining intent, writing SKILL.md, and setting up initial tests.
  • Iterative Improvement: Facilitate testing, analysis, and refinement of skills based on user feedback and performance metrics.
  • Description Optimization: Automatically tune skill descriptions for optimal triggering accuracy.
  • Use Case: You have an idea for a new AI capability. Use this Skill to turn that idea into a functional, well-documented, and highly effective AI skill.

Quick Start

Use the skill creator to help me build a new skill that can summarize meeting transcripts.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I create an AI agent from a prompt idea?

To create an AI agent, you need to define the skill objectives, author the SKILL.md file, and set up initial test cases to validate its behavior. This skill guides you through the entire end-to-end lifecycle from initial conception to functional development.

What is SKILL.md and how does it work for AI tools?

SKILL.md is the core file format used to define and document AI skills, serving as the structural foundation for the agent's instructions. It works by guiding the LLM on specific capabilities, objectives, and operational boundaries for accurate task execution.

How do I optimize AI skill descriptions for better triggering accuracy?

Optimizing AI skill descriptions involves iteratively refining the text based on performance metrics and evaluation results. This skill automatically tunes your descriptions to ensure the correct AI capability is triggered when users submit relevant prompts.

Can I generate test cases and run evaluations for LLM tools without coding experience?

Yes, you can generate test cases and run evaluations without deep technical knowledge. This skill streamlines the testing and analysis process, integrating with testing frameworks to make iterative improvement accessible for users of all backgrounds.

What is the best way to evaluate and refine prompt engineering performance?

The best way to evaluate prompt engineering performance is by running generated test cases, analyzing the metrics, and applying iterative refinement based on the results. This process ensures your AI skills maintain high effectiveness and optimal triggering accuracy.

Do I need specific testing frameworks to maintain AI skills?

No specific external frameworks are required as dependencies, but the skill integrates with existing testing frameworks to facilitate analysis. It provides the necessary guidance on best practices for skill design and maintenance directly within your environment.