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superimage-generator

Convert image prompts into structured superprompts for multiple generation backends.

28|4|Updated Dec 3, 2025
Search Tags:#validation#prompt-engineering#multimodel#image-prompt#flattening#superprompt
One-click install
npx skills add https://github.com/BluebagAI/skills --skill superimage-generator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: superimage-generator
Source: https://github.com/BluebagAI/skills/tree/main/skills/superimage-generator
Command: npx skills add https://github.com/BluebagAI/skills --skill superimage-generator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Transforms basic prompts into fully structured, model-ready superprompts that work across multiple image generation backends.

Core Features & Use Cases

  • Convert generic prompts into model-specific schemas for Flux, Flux Kontext Max, Nano Banana, Midjourney, Ideogram, Recraft, Luma, Reve, Grok Imagine, and GPT Image 1.5.
  • Validate prompts against required fields and model constraints, ensuring compatibility before flattening.
  • Quick-start oriented workflows for rapid iteration in creative and production pipelines.

Quick Start

Provide a basic prompt and choose a target model to generate a complete structured superprompt.

Frequently Asked Questions about superimage-generator

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

FAQPage Schema
How do I convert a plain image prompt into a structured format for Midjourney or Flux?▼

To convert an image prompt, the system transforms basic text into model-ready superprompts. It applies model-specific schemas and mandatory fields to ensure compatibility with target backends like Midjourney and Flux.

What is a superprompt and when do I need schema validation for image generation?▼

A superprompt is a fully structured prompt that enforces model-specific schemas and mandatory fields. You need schema validation when working across multiple image-generation backends to ensure compatibility before flattening.

Can I use the same prompt structure for multiple image generation models?▼

You can use the same base prompt to generate model-specific schemas for multiple backends. The system applies flattening and compatibility rules to adapt the structured superprompt for models like Recraft, Luma, and Ideogram.

How do I validate image prompts against model constraints before generation?▼

To validate image prompts, the system checks your text against required fields and model constraints. This validation step ensures multi-model compatibility before applying flattening rules.

What are the limitations of flattening rules for cross-model image prompts?▼

Flattening rules standardize structured prompts into a compatible format, but limitations arise from strict model-specific schemas. If required fields fail validation, the flattening process cannot produce a model-ready superprompt.

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