skill-creator

Create Claude Skills with SKILL.md structure and evaluation loops.

Updated Apr 12, 2026
One-click install
npx skills add https://github.com/KILWA73/MiniSoc --skill skill-creator-kilwa73
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/KILWA73/MiniSoc/tree/main/.agents/skills/skill-creator
Command: npx skills add https://github.com/KILWA73/MiniSoc --skill skill-creator-kilwa73

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Creating and maintaining Claude Skills requires discipline: coordinating drafts, iterative evaluations, and description optimization. This Skill provides a repeatable loop to draft, test, review, and improve skills, reducing cognitive load and accelerating high-quality skill delivery.

Core Features & Use Cases

  • Create new skills with a standard SKILL.md structure and starter metadata.
  • Run evaluation loops (train/test) to gauge trigger accuracy and effectiveness.
  • Automate improvement cycles by integrating eval results, history, and description optimization.
  • Generate and optimize trigger descriptions to improve discovery and activation.

Quick Start

Draft your first SKILL.md, run an evaluation loop, then iteratively improve the skill description based on results.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I create and package Claude Skills with a standard metadata structure?

To create Claude Skills, you draft a standard SKILL.md file with starter metadata and optional resources. This approach enforces progressive-disclosure design, ensuring consistent skill discovery and activation across projects.

Can I run evaluation loops to test workflow automation skills before deployment?

Yes, you can run train and test evaluation loops to gauge trigger accuracy and effectiveness. This structured testing evaluates skill quality, benchmark results, and trigger descriptions before activating the skill.

What's the best way to improve skill trigger descriptions for better discovery?

Improving trigger descriptions involves automated optimization cycles integrating evaluation results and history. This iterative process refines metadata to maximize discovery and activation rates for your skills.

Does the skill evaluation process require Python and yaml dependencies?

The skill evaluation loops and automation scripts rely on Python and require the yaml dependency. These components structure the testing, benchmarking, and description optimization workflows.

How does progressive-disclosure design work when building automation skills?

Progressive-disclosure design structures skills into metadata, body, and optional resources. This layered packaging ensures consistent skill discovery and rigorous evaluation without overwhelming the user.

When should I use automated improvement cycles for skill development?

Use automated improvement cycles when you need repeatable loops to draft, test, review, and refine skills. This reduces cognitive load and accelerates high-quality skill delivery across team projects.