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FujishigeTemma
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skill-creator

Create, modify, and evaluate AI skills with SKILL.md files and test cases.

Updated Jan 25, 2026
Search Tags:#skill development#testing#prompt engineering#optimization#evaluation#ai agent
One-click install
npx skills add https://github.com/FujishigeTemma/listen --skill skill-creator-fujishigetemma
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/FujishigeTemma/listen/tree/main/.claude/skills/skill-creator
Command: npx skills add https://github.com/FujishigeTemma/listen --skill skill-creator-fujishigetemma

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 capabilities, from initial concept to polished performance, making AI development accessible and efficient.

Core Features & Use Cases

  • Skill Creation: Guides users through defining intent, writing SKILL.md, and structuring resources.
  • Iterative Improvement: Facilitates testing, evaluation, and refinement based on performance metrics and user feedback.
  • Description Optimization: Enhances skill triggering accuracy through automated prompt testing and analysis.
  • Use Case: You have an idea for a new AI assistant feature. Use this Skill to draft the core logic, create test cases, run evaluations, and optimize the trigger description so Claude uses it effectively.

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 create and test an AI skill from scratch?▼

You can optimize AI skill triggering accuracy by using automated prompt testing and analysis to iteratively evaluate and refine the skill description for better performance.

What is the process for evaluating AI agent performance?▼

Evaluating AI agent performance involves generating test cases, running evaluations with baseline comparisons, analyzing the results, and iteratively refining the skill descriptions to improve accuracy.

How do I optimize prompt engineering for better skill triggering?▼

You optimize prompt engineering for skill triggering by running automated prompt tests, analyzing evaluation results, and iteratively refining the skill description to improve accuracy.

Can I run baseline comparisons when testing AI skills?▼

Yes, the skill creation framework supports running baseline comparisons during evaluations to analyze performance metrics and benchmark iterative improvements.

Do I need prior testing frameworks to use this skill development tool?▼

No, this skill integrates directly with testing frameworks to provide built-in evaluation and benchmarking tools, requiring no external testing setup to begin iterative development.

What is the best way to structure resources when building an AI agent?▼

The best way to structure resources for AI agent development is to define the skill intent, write the SKILL.md file, and organize components to support iterative evaluation and refinement.

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