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prompt-master

Route user requests to specialized modules for prompt extraction, assembly, and optimization.

35|10|Updated Dec 29, 2025
Search Tags:#prompt engineering#prompt optimization#content creation#ai generation#natural language processing#prompt analysis
One-click install
npx skills add https://github.com/ttmouse/skills --skill prompt-master-ttmouse
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-master
Source: https://github.com/ttmouse/skills/tree/main/prompt-master
Command: npx skills add https://github.com/ttmouse/skills --skill prompt-master-ttmouse

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill acts as an intelligent hub for managing and generating AI prompts, simplifying complex prompt engineering tasks by understanding user intent and routing requests to specialized sub-modules.

Core Features & Use Cases

  • Intent Recognition: Automatically identifies user intent (extract, build, optimize, recommend, analyze) from natural language.
  • Modular Prompt Generation: Assembles detailed and effective prompts based on user descriptions or optimizes existing ones.
  • Data-Driven Insights: Leverages internal libraries for facial features, modules, and prompt data to enhance generation and analysis.
  • Use Case: Instead of crafting a complex prompt from scratch, a user can simply ask "Generate a cinematic portrait of a young woman," and the skill will handle the detailed construction, ensuring high-quality output.

Quick Start

Use the prompt-master skill to generate a cinematic portrait of a young woman.

Frequently Asked Questions about prompt-master

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

FAQPage Schema
How do I optimize AI prompts for better content generation?▼

To optimize AI prompts, submit your existing text to the prompt optimizer module, which analyzes and refines the structure to enhance natural language processing outputs and generation quality.

What is the best way to generate a detailed AI prompt from a simple description?▼

Generating a detailed AI prompt from a simple description is best handled by routing your request to the prompt builder module, which assembles structured and effective prompts based on intent recognition.

How does intent recognition work for prompt analysis and extraction?▼

Intent recognition for prompt analysis works by automatically identifying user goals like extract, build, or optimize from natural language, then routing the request to specialized sub-modules for execution.

Can I use natural language to assemble prompts without prior prompt engineering knowledge?▼

Yes, you can use natural language to assemble prompts without prior prompt engineering knowledge, as the system automatically recognizes your intent and manages the modular execution for you.

What should I do if my AI generation prompt is not producing the desired output?▼

If your AI generation prompt is not producing the desired output, utilize the prompt analysis and optimization modules to refine the instructions and leverage internal JSON data sources for improved results.

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