What makes this prompt generator different from simple templates?

Unlike static templates, this skill uses a semantic reasoning engine and a framework-driven approach to ensure biological, cultural, and logical consistency across seven distinct categories of image attributes.

What is the 'Global Optimal Selection' strategy?

It is an algorithm that evaluates potential prompt elements based on keyword coverage, component quality scores, and semantic conflict checks to choose the most harmonious combination of traits.

Can I generate prompts for specific cinematic styles?

Yes, the skill includes specialized logic for director-inspired styles, such as the high-contrast lighting of Zhang Yimou or the atmospheric colors of Wong Kar-wai.

How does the skill handle cultural accuracy?

The skill applies dependency rules; for example, if the user specifies 'Ancient Chinese' clothing, the system automatically suggests matching traditional hairstyles and makeup to maintain historical consistency.

Does it work with different AI image models?

While the skill generates descriptive text, the structural output is optimized for high-end models like Midjourney, Stable Diffusion, and DALL-E that respond well to technical lighting and stylistic keywords.

Intelligent Prompt Generator

Name: Intelligent Prompt Generator
Author: ttmouse

byttmouse

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デザインツール

Generates high-fidelity, logically consistent AI image prompts using a structured multi-dimensional semantic framework.

概要

The Intelligent Prompt Generator is a specialized skill designed to transform brief user descriptions into complex, production-grade AI image prompts. By utilizing a 7-category framework—covering subject, facial features, styling, expression, lighting, scene, and technical specs—it ensures every generated prompt is comprehensive and balanced. The skill employs semantic reasoning to maintain cultural and biological consistency (such as matching hair color to ethnicity) and utilizes a global optimization algorithm to select the highest-quality components from its underlying database. It is particularly effective for creators needing cinematic character portraits with precise control over lighting, era-appropriate attire, and director-inspired aesthetics.

主な機能

Cinematic Atmosphere & Director Style Profiles (Wong Kar-wai, Zhang Yimou, etc.)
Automatic Dependency Mapping (e.g., Ancient era triggers traditional makeup styles)
Global Optimal Selection Algorithm for ranking and choosing database elements
7-Category Prompt Framework (Subject, Facial, Styling, Lighting, Scene, Technical, Expression)
31 GitHub stars
Semantic Consistency Engine for culturally and biologically accurate character traits

ユースケース

Ensuring historical and cultural accuracy in period-specific character generation
Automating the expansion of vague design ideas into detailed, structured technical prompts
Developing high-end character concept art prompts for Midjourney or Stable Diffusion

概要

主な機能

Cinematic Atmosphere & Director Style Profiles (Wong Kar-wai, Zhang Yimou, etc.)
Automatic Dependency Mapping (e.g., Ancient era triggers traditional makeup styles)
Global Optimal Selection Algorithm for ranking and choosing database elements
7-Category Prompt Framework (Subject, Facial, Styling, Lighting, Scene, Technical, Expression)
31 GitHub stars
Semantic Consistency Engine for culturally and biologically accurate character traits

ユースケース

Ensuring historical and cultural accuracy in period-specific character generation
Automating the expansion of vague design ideas into detailed, structured technical prompts
Developing high-end character concept art prompts for Midjourney or Stable Diffusion