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adamhjk
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skill-creator

Automate prompt generation, evaluation, and feedback integration for AI skill development.

2|2|Updated May 1, 2026
Search Tags:#feedback#prompt engineering#skill creation#evaluation#iterative improvement
One-click install
npx skills add https://github.com/adamhjk/mvtt --skill skill-creator-adamhjk
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/adamhjk/mvtt/tree/main/.agents/skills/skill-creator
Command: npx skills add https://github.com/adamhjk/mvtt --skill skill-creator-adamhjk

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill simplifies developing, editing, and refining AI skills by providing structured guidance and automation tools.

Core Features & Use Cases

  • Skill Drafting and Editing: Help users write clear, effective SKILL.md files from scratch or existing templates.
  • Evaluation Automation: Generate test prompts, run evaluations, and interpret results to enhance skill reliability.
  • Iterative Improvement: Assist in refining skills through feedback analysis and description optimization, reducing manual effort.
  • Use Case: A developer drafts a new skill, tests it against sample prompts, reviews the results, and refines the instructions seamlessly.

Quick Start

Use this Skill to help create a new AI skill, from initial draft to iterative testing.

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 test AI skills from scratch?▼

To create and test AI skills, draft a SKILL.md file and use automated evaluation to generate test prompts, run assessments, and interpret results for iterative improvement.

What is iterative improvement for prompt engineering?▼

Iterative improvement for prompt engineering is the process of refining AI skills through feedback analysis and description optimization to enhance reliability and reduce manual effort.

Do I need to know Python and YAML to develop AI skills?▼

Yes, developing AI skills requires knowledge of Markdown, YAML, and Python scripts to structure instructions, configure components, and implement evaluation mechanisms effectively.

Can I automate evaluation for existing AI skills?▼

Yes, you can automate evaluation for existing AI skills by generating test prompts, running evaluations, and interpreting results to refine instructions and optimize descriptions.

What is the best way to refine and optimize AI skill instructions?▼

The best way to refine AI skill instructions is integrating feedback analysis and description optimization to iteratively enhance reliability across programming, content, or data domains.

Why does my AI skill return inconsistent results during testing?▼

Inconsistent results during testing indicate a need for iterative improvement, where you analyze evaluation feedback and optimize the SKILL.md descriptions to enhance skill reliability.

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