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prompt-extractor

Extract and categorize AI art prompt components into ten modules.

35|10|Updated Dec 29, 2025
Search Tags:#prompt engineering#template generation#prompt analysis#learning resources#ai art#module extraction
One-click install
npx skills add https://github.com/ttmouse/skills --skill prompt-extractor-ttmouse
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-extractor
Source: https://github.com/ttmouse/skills/tree/main/prompt-extractor
Command: npx skills add https://github.com/ttmouse/skills --skill prompt-extractor-ttmouse

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the tedious process of analyzing and structuring AI art prompts, allowing you to quickly understand prompt components, identify reusable patterns, and improve your prompt engineering skills.

Core Features & Use Cases

  • Modular Prompt Analysis: Breaks down complex prompts into 10 distinct modules (Subject, Style, Technical Parameters, etc.).
  • Reusable Module Extraction: Identifies and categorizes common prompt elements to build a personal module library.
  • Learning & Improvement: Generates learning cards, annotated prompts, and comparative analysis to help users create more effective prompts.
  • Use Case: You've collected 1000 AI art prompts. Use this Skill to analyze them, discover which modules are most frequently used for a specific style (e.g., 'cinematic lighting' for portraits), and generate templates for future use.

Quick Start

Use the prompt-extractor skill to analyze the provided AI art prompts.

Frequently Asked Questions about prompt-extractor

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

FAQPage Schema
How do I analyze and break down complex AI art prompts into reusable modules?▼

To analyze AI art prompts, this Skill automates the modular extraction process by identifying and categorizing prompt components into ten distinct modules, such as Subject, Style, and Technical Parameters. It processes various input formats to generate a structured breakdown of your prompt data.

What is the best way to batch process a large collection of AI art prompts for pattern analysis?▼

The best way to batch process AI art prompts is using an automated extraction tool that supports direct text input and bulk analysis. This Skill identifies frequently used modules across large datasets, like 1000 prompts, to discover common style patterns and generate reusable templates.

How do I generate learning resources and annotated prompts from existing AI art text?▼

You can generate learning resources by feeding existing AI art text into an automated prompt analysis workflow. This Skill creates annotated prompts, comparative analysis reports, and learning cards to help you understand component effectiveness and improve your prompt engineering skills.

Can I build a personal reusable template library from extracted prompt components?▼

Yes, you can build a personal template library by extracting and categorizing common prompt elements. This Skill identifies reusable modules from your analyzed inputs and structures them into a library for efficient prompt engineering and future art generation workflows.

Does prompt analysis support direct text input for testing individual AI art generation commands?▼

Yes, prompt analysis supports direct text input for testing individual AI art generation commands. You can input single prompts directly into the workflow to receive a modular breakdown, annotated learning cards, and comparative analysis without needing batch files.

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