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Markson22
Markson22COMMUNITY
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reversa-image-prompt-json

Generate structured JSON prompts for product image rendering with Nano Banana 2.

Updated Nov 4, 2025
Search Tags:#prompt#cinematic#image-prompt#product-photography#luxury#nanobanana-2#google-antigravity
One-click install
npx skills add https://github.com/Markson22/MKV-SYTEM --skill reversa-image-prompt-json-markson22
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: reversa-image-prompt-json
Source: https://github.com/Markson22/MKV-SYTEM/tree/main/.agents/skills/reversa-image-prompt-json
Command: npx skills add https://github.com/Markson22/MKV-SYTEM --skill reversa-image-prompt-json-markson22

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill creates structured JSON prompts for generating high-quality product images with cinematic luxury aesthetics, easing the process for designers and marketers.

Core Features & Use Cases

  • Structured JSON prompts tailored for product photography with Nano Banana 2, optimized for Google Antigravity.
  • Guided prompt workflow including interview steps, confirmation, and final JSON generation for consistent outputs.
  • Use Case: crafting ready-to-run prompts for product photography of cosmetics, jewelry, fashion, and consumer goods.

Quick Start

Tell the assistant the product and the desired cinematic style to obtain a ready-to-use JSON prompt.

Frequently Asked Questions about reversa-image-prompt-json

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

FAQPage Schema
How do I generate structured JSON prompts for product photography?▼

To generate structured JSON prompts for product photography, you provide the product details and desired cinematic style. The skill then uses a guided interview flow to produce a ready-to-use master_prompt payload optimized for high-quality image rendering.

What is a master_prompt payload and when do I need it for image generation?▼

A master_prompt payload is a structured JSON output containing premium adjectives and cinematic luxury aesthetics. You need it when rendering high-end product images to ensure consistent, model-specific constraints for platforms like Nano Banana 2.

Can I use this workflow to create image prompts for Google Antigravity?▼

Yes, you can use this workflow to create image prompts for Google Antigravity. The generated JSON output is specifically formatted as a compatible master_prompt payload that works seamlessly with Nano Banana 2 via the Google Antigravity platform.

How do I craft luxury cinematic prompts for cosmetics and jewelry rendering?▼

To craft luxury cinematic prompts for cosmetics and jewelry, you input your product details into the guided workflow. The system enforces premium adjective usage and applies cinematic luxury aesthetics to produce a ready-to-run JSON payload.

What's the best way to format image prompts for Nano Banana 2?▼

The best way to format image prompts for Nano Banana 2 is using a structured JSON payload. This skill generates model-specific output constraints within a master_prompt, ensuring the rendering platform correctly interprets the premium product photography instructions.

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