image-gen-prompts

What problem does it solve?

It solves the problem of generating high-quality, consistent image prompts across many different image generation and editing models without losing control over subject, edits, identity, or formatting.

Core Features & Use Cases

• Universal prompt engineering for image generation/editing: Provides a shared prompt anatomy (subject, environment, lighting, camera/lens, style, format, preserve/negative constraints) that works across major models.
• Model-aware routing and syntax guidance: Automatically switches to per-model reference files (e.g., Midjourney flags, GPT Image 2 structured prompts, Nano Banana natural-language reference handling) when the user names a model.
• Editing workflows with non-destructive identity preservation: Supports background swaps, inpainting/masked edits, object add/remove, and multi-image fusion with explicit “preserve” clauses.
• Structured prompts, templating, and typography reliability: Includes guidance for JSON/YAML/XML prompt formats and stronger text rendering modes when you need in-image labels or posters.

Quick Start

Use the image-gen-prompts skill to create an identity-preserving edit prompt: keep the face and pose from the uploaded photo while changing only the background to a cinematic golden-hour city street, for GPT Image 2.