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Myfro9
Myfro9COMMUNITY
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skill-creator

Create AI skills with SKILL.md files and automated evaluations.

Updated Aug 27, 2026
Search Tags:#prompt engineering#optimization#codex#skill creation#AI development#evaluation
One-click install
npx skills add https://github.com/Myfro9/skills --skill skill-creator-myfro9
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/Myfro9/skills/tree/main/skill-creator
Command: npx skills add https://github.com/Myfro9/skills --skill skill-creator-myfro9

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: Guides users through defining intent, interviewing for details, and writing the SKILL.md file.
  • Iterative Improvement: Facilitates testing, evaluation, and refinement of skills based on performance metrics and user feedback.
  • Description Optimization: Automatically tunes 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 fully functional, well-documented, and highly effective AI skill.

Quick Start

Use the skill-creator to help me build a new skill that can summarize code files.

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 an initial concept?▼

To create a new AI skill, define the intended capability intent and the system guides you through detailing requirements to generate a functional SKILL.md file. This process structures prompt engineering concepts into deployable assets.

What is the best way to improve AI skill triggering accuracy?▼

Improve AI skill triggering accuracy by using description optimization features that automatically tune the skill's descriptive metadata. This ensures the skill activates correctly when users submit relevant prompts.

Can I automate performance benchmarking for prompt engineering?▼

Yes, you can automate performance benchmarking for prompt engineering by running iterative testing and automated evaluations. This generates performance metrics to refine the skill based on actual execution data.

Does LLM agent integration support end-to-end skill development?▼

LLM agent integration supports end-to-end skill development by providing guided analysis and development throughout the entire lifecycle. It assists from the initial concept phase through to deployment and optimization.

Why does my AI skill description fail to trigger in evaluations?▼

AI skill descriptions fail to trigger in evaluations when the metadata lacks optimal vocabulary alignment. Use the description tuning feature to automatically refine the text for improved discoverability and accurate performance benchmarking.

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