skill-creator

Create, refine, and evaluate AI skills with SKILL.md structure.

496|59|Updated Mar 5, 2026
One-click install
npx skills add https://github.com/MagicCube/agentara --skill skill-creator-magiccube
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/MagicCube/agentara/tree/main/user-home/.claude/skills/skill-creator
Command: npx skills add https://github.com/MagicCube/agentara --skill skill-creator-magiccube

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 easier for anyone to build powerful custom tools for AI assistants.

Core Features & Use Cases

  • Skill Creation: Guide users through defining intent, writing SKILL.md, and structuring skill directories.
  • Iterative Improvement: Run evaluations, analyze results, and refine skills based on performance metrics and user feedback.
  • Testing & Benchmarking: Execute test cases, compare skill performance against baselines, and generate detailed reports.
  • Description Optimization: Automatically tune skill descriptions for better triggering accuracy.
  • Use Case: You have an idea for a new AI skill to manage project tasks. Use this Skill to draft the SKILL.md, create test prompts, run evaluations, and optimize the description so Claude Code reliably invokes it when needed.

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 build and test custom AI skills for Claude Code?

To build and test custom AI skills, you can use this tool to define intent, draft SKILL.md files, structure directories, and run automated evaluations. It guides the end-to-end skill development lifecycle from creation to refinement.

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

Optimizing AI skill descriptions for better model triggering involves automatically tuning the text to improve accuracy. This tool analyzes performance metrics to refine descriptions so Claude Code reliably invokes the skill when needed.

Can I run quantitative benchmarking to evaluate AI prompt engineering performance?

Yes, you can run quantitative benchmarking to evaluate AI prompt engineering performance. The tool executes test cases via subagents, compares results against baselines, and generates detailed evaluation reports.

Do I need any specific frameworks to start AI skill development?

No specific frameworks are required as dependencies to start AI skill development. You only need to provide your skill concept, and the tool will guide you through structuring directories and writing the SKILL.md file.

Why does my custom AI skill fail to trigger correctly during testing?

Custom AI skills often fail to trigger correctly due to poorly optimized descriptions or unrefined intent definitions. You can resolve this by running automated evaluations, analyzing baseline metrics, and iteratively refining the skill.