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skill-creator

Creates AI skills with SKILL.md files, tests, and benchmark-driven optimization.

Updated Mar 14, 2026
Search Tags:#skill development#developer tools#prompt engineering#optimization#evaluation#ai assistant
One-click install
npx skills add https://github.com/marcusfelix/barney --skill skill-creator-marcusfelix
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/marcusfelix/barney/tree/main/src/prompts/skills/skill-creator
Command: npx skills add https://github.com/marcusfelix/barney --skill skill-creator-marcusfelix

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 structuring skill directories.
  • Iterative Improvement: Facilitate testing, feedback collection, and refinement of existing skills.
  • Performance Evaluation: Run benchmarks, analyze results, and optimize skill descriptions for better triggering.
  • Use Case: You have an idea for a new AI assistant skill to help with code documentation. Use this Skill to draft the SKILL.md, create test cases, run evaluations, and iterate on the description until it triggers reliably.

Quick Start

Use the skill creator to start building a new skill for summarizing meeting notes.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I build and test AI skills from scratch?▼

To build and test AI skills, you define the intent, draft the SKILL.md file, structure directories, and run iterative evaluations. This process streamlines skill development from initial concept through deployment and optimization.

What is the best way to optimize AI assistant skill descriptions for reliable triggering?▼

Optimizing AI assistant skill descriptions involves tuning the text for better discoverability and invocation accuracy. You run benchmarks, analyze performance results, and iteratively refine the description until it triggers reliably.

Can I use prompt engineering to evaluate deterministic task verification for AI skills?▼

Yes, you can integrate prompt engineering with evaluation frameworks to achieve deterministic task verification. This allows you to analyze performance via benchmarking and ensure the AI skill performs its intended logic accurately.

Does skill development require prior coding experience to create an AI assistant?▼

No, skill development does not require prior coding experience. The process makes creating, improving, and evaluating AI skills accessible for users of all technical backgrounds by guiding you through defining intent and structuring directories.

How do I refine an existing AI skill using user feedback?▼

To refine an existing AI skill, you facilitate testing, collect user feedback, and apply iterative improvements. This lifecycle refinement enhances the skill's performance and ensures it meets the intended use case effectively.

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