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aifuun
aifuunCOMMUNITY
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skill-creator

Create and iteratively refine AI skills with automated testing and performance benchmarking.

Updated Aug 27, 2026
Search Tags:#skill development#testing#prompt engineering#optimization#evaluation#ai agent
One-click install
npx skills add https://github.com/aifuun/u-safe --skill skill-creator-aifuun
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/aifuun/u-safe/tree/main/.claude/skills/skill-creator.backup-2026-03-15-125843
Command: npx skills add https://github.com/aifuun/u-safe --skill skill-creator-aifuun

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 and improving AI skills, from initial concept to optimized performance, making AI development accessible and efficient.

Core Features & Use Cases

  • Skill Creation: Guide users through defining a skill's purpose, triggers, and functionality.
  • Iterative Development: Facilitate a cycle of drafting, testing with real-world prompts, evaluating results, and refining the skill.
  • Performance Benchmarking: Run automated tests comparing skill performance against baselines and visualize results.
  • Description Optimization: Improve how accurately a skill is triggered by users.
  • Use Case: A user wants to create a new AI skill to summarize meeting transcripts. This Skill will help them define the skill, write the initial SKILL.md, set up test prompts, run evaluations, analyze the output, and iterate on the skill until it performs as expected.

Quick Start

Use the skill-creator to help me build a new skill that can summarize 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 build and test AI skills from scratch?▼

AI skill development requires defining triggers, drafting logic, testing with real prompts, and evaluating results. This workflow ensures structured creation, automated benchmarking, and iterative refinement for optimized performance.

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

Optimizing AI agent skill descriptions requires iterative description tuning based on performance benchmarking. This process improves trigger accuracy and ensures the skill activates correctly for targeted user prompts.

Can I run automated performance benchmarking for prompt engineering workflows?▼

Yes, automated performance benchmarking compares skill outputs against baselines and visualizes results. This evaluates prompt engineering quality and guides iterative refinement for AI agents.

Does this skill development workflow support iterative refinement for novice developers?▼

Yes, this skill development workflow supports iterative refinement for novice and experienced developers. It provides structured definition, implementation, testing, and evaluation for accessible AI skill creation and enhancement.

Why does my AI skill fail to trigger correctly on user prompts?▼

AI skills fail to trigger correctly due to unoptimized descriptions. Description tuning and performance benchmarking refine triggers and improve accuracy during the evaluation phase.

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