hnh-create-skill

Create and modify AI skills with SKILL.md files and iterative testing.

3|Updated Mar 9, 2026

Search Tags:#skill development #testing #prompt engineering #code generation #evaluation #ai agent

Ready to run

npx skills add https://github.com/huynguyenh/skills --skill hnh-create-skill

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: hnh-create-skill
Source: https://github.com/huynguyenh/skills/tree/main/skills/hnh-create-skill
Command: npx skills add https://github.com/huynguyenh/skills --skill hnh-create-skill

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 new AI skills, improving existing ones, and measuring their performance, making AI development accessible and efficient.

Core Features & Use Cases

Skill Creation: Guides users through defining intent, writing SKILL.md, and structuring skill components.
Skill Improvement: Facilitates iterative refinement based on test case evaluations and user feedback.
Performance Measurement: Runs automated tests and benchmarks to quantify skill accuracy and efficiency.
Use Case: You have an idea for a new AI capability, like summarizing meeting notes. Use this Skill to draft the SKILL.md, create test prompts, run evaluations, and iterate on the description until it triggers reliably.

Quick Start

Use the hnh-create-skill to help me create a new skill that summarizes code documentation.

Frequently Asked Questions about hnh-create-skill

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

FAQPage Schema

How do I create a new AI skill from scratch?▼

To create a new AI skill, define the skill intent, write the SKILL.md file, and structure components like agents and scripts. This skill guides you through the entire creation process to ensure proper formatting and functionality.

What is the best way to evaluate AI skill performance and triggering accuracy?▼

Evaluating AI skill performance involves running automated tests and benchmarks to quantify accuracy and efficiency. You can iterate on the description optimization to improve triggering accuracy based on test case evaluations and user feedback.

Can I use this to modify and improve existing AI skills?▼

Yes, you can modify and improve existing AI skills through iterative refinement. The skill facilitates improvements based on test case evaluations and user feedback to enhance overall performance and reliability.

How do I structure SKILL.md files and component scripts for prompt engineering?▼

Structuring SKILL.md files involves defining the skill intent clearly, while component scripts handle specific agentic tasks. This skill provides guidance on organizing these elements effectively for optimal prompt engineering and code generation outcomes.

Why does my AI skill fail to trigger reliably during testing?▼

If your AI skill fails to trigger reliably, the description likely needs optimization. Use this skill to run iterative testing and benchmarking, then refine the description based on evaluations until it triggers accurately.