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skill-creator

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

Updated Mar 11, 2026
Search Tags:#skill development#prompt engineering#code generation#evaluation#AI skills#iterative design
One-click install
npx skills add https://github.com/michelve/hugin-v0 --skill skill-creator-michelve
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/michelve/hugin-v0/tree/main/skills/skill-creator
Command: npx skills add https://github.com/michelve/hugin-v0 --skill skill-creator-michelve

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the entire process of creating, refining, and evaluating AI skills, making it easier for developers to build powerful new capabilities.

Core Features & Use Cases

  • Skill Creation: Guides users through defining intent, writing SKILL.md, and structuring skill resources.
  • Iterative Improvement: Facilitates running evaluations, analyzing results, and rewriting skills based on feedback.
  • Description Optimization: Enhances skill triggering accuracy through automated testing and refinement.
  • Use Case: You have an idea for a new skill to help manage cloud deployments. Use this Skill to draft the initial SKILL.md, create test cases, run evaluations, and iterate on the description until it triggers reliably for deployment-related queries.

Quick Start

Use the skill-creator to help me build a new skill that summarizes 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 create and structure a new AI skill from scratch?▼

Iterative improvement for AI skills involves running automated evaluations, analyzing test results, and rewriting the skill based on feedback. This cycle ensures quantitative benchmarking and continuous performance optimization.

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

Description optimization enhances triggering accuracy through automated testing and refinement. By evaluating execution results and tuning the description, you ensure the skill triggers reliably for relevant queries.

Can I use automated testing for prompt execution and benchmarking in skill development?▼

Automated testing supports prompt execution and quantitative benchmarking during skill development. It allows you to execute test cases, measure performance, and iterate on the design for improved accuracy.

Do I need prior prompt engineering experience to refine complex AI skills?▼

Prior prompt engineering experience is beneficial but not strictly required. The skill facilitates the entire end-to-end lifecycle, guiding users through structured design, evaluation, and optimization for complex environments.

When should I use structured skill design instead of manual prompt engineering?▼

Structured skill design is needed when building robust, well-defined, and performant AI skills for complex application environments. It provides a systematic approach compared to manual engineering for reliable execution.

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