skill-creator

Generate SKILL.md frontmatter and operational instructions for new Skill Units.

Updated May 11, 2026
One-click install
npx skills add https://github.com/AvaTar-ArTs/my-supremepowers --skill skill-creator-avatar-arts
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/AvaTar-ArTs/my-supremepowers/tree/main/qwen_skills/skill-creator
Command: npx skills add https://github.com/AvaTar-ArTs/my-supremepowers --skill skill-creator-avatar-arts

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Streamlines the end-to-end creation and refinement of Skills, including evaluation and optimization, reducing time to deploy reliable capabilities.

Core Features & Use Cases

  • Create new SKILL.md frontmatter and body to capture trigger, scope, and instructions.
  • Modify and improve existing skills, iterating based on eval results and user feedback.
  • Run evals and benchmarks to measure performance, reliability, and triggering accuracy.
  • Optimize triggering descriptions and documentation to improve discoverability and usability.
  • Organize resources (scripts, references, and assets) for modular reuse and on-demand execution.

Quick Start

Draft a new SKILL.md for the desired capability, add any needed scripts or references, and start the eval/iterate loop to refine it.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I automate skill creation and generate SKILL.md frontmatter?

Skill creation automation generates SKILL.md frontmatter and operational instructions to scaffold a new Skill Unit. It captures user needs, constraints, and evaluation criteria to structure the capability definition and ensure smooth integration.

What is the best way to test and refine a skill through evals and benchmarks?

Testing and refining a skill through evals and benchmarks measures performance, reliability, and triggering accuracy. You iteratively modify the skill based on eval results and user feedback to optimize documentation and discoverability.

How do I package optional resources like scripts and references for a new skill?

Packaging optional resources like scripts and references organizes them for modular reuse and on-demand execution. You assign dependencies and category metadata alongside these assets to ensure smooth integration and discovery of the skill.

Why does my skill trigger inaccurately and how do I optimize triggering descriptions?

Inaccurate skill triggering occurs when documentation lacks clear scope definitions. You optimize triggering descriptions by iteratively refining the SKILL.md body and running benchmarks to measure and improve triggering accuracy based on eval results.

Can I modify and improve existing skills based on user feedback?

You can modify and improve existing skills by iterating based on eval results and user feedback. This involves updating the SKILL.md body and operational instructions to capture changing constraints and optimize reliability through benchmark testing.