nano-banana-pro

Generate three production-ready Nano Banana Pro image prompts with settings.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/samurano/ai-brain --skill nano-banana-pro-samurano
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nano-banana-pro
Source: https://github.com/samurano/ai-brain/tree/main/agent-harness/audit/NANO_BANANA_PRO_SKILL_EXTERNAL_AUDIT
Command: npx skills add https://github.com/samurano/ai-brain --skill nano-banana-pro-samurano

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It standardizes the creation of production-ready prompts for Nano Banana Pro / Gemini 3 Pro Image, solving the fragmentation of prompts across different tasks and ensuring consistent output quality, text rendering, and grounding.

Core Features & Use Cases

  • End-to-end prompt workflow: mode detection, hard requirement extraction, default filling, aspect ratio and image size selection, three variant generation, self-check, and prompt-only output.
  • 12-field prompt framework: structured coverage of subject, action, context, layout, lighting, palette, materials, mood, style, and text-in-image handling.
  • Grounding and factual prompts: supports verified inputs, avoids fabricating data, and guides grounding when current data is required.
  • Multi-reference and UI/infographic tasks: supports scene composition with multiple references and dense text layouts for posters, packaging, and dashboards.
  • Output contract and safety: three standalone variants with explicit Settings and Notes, no final assets, and clear on-image text preservation.

Quick Start

Provide a user request that the skill will respond to with three production-ready prompts, each including Settings and Notes.

Frequently Asked Questions about nano-banana-pro

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

FAQPage Schema
How do I write production-ready image generation prompts for text-heavy infographics?

To create production-ready image generation prompts for text-heavy infographics, this skill outputs three self-contained prompt variants. Each variant explicitly defines subject, composition, lighting, and on-image text handling to ensure consistent visual quality.

What is the best way to structure prompts for multi-reference packaging design?

The best way to structure prompts for multi-reference packaging design is using a 12-field framework. This approach covers subject, context, layout, materials, and text-in-image handling to generate three distinct prompt variants for grounded visuals.

Can I generate final images directly using these generated prompts?

You cannot generate final images directly. This skill produces only production-ready text prompts with explicit Settings and Notes, which you then input into Nano Banana Pro or Gemini 3 Pro Image to render the actual visual assets.

Does this prompt generation approach support grounding with verified data inputs?

This prompt generation approach fully supports grounding by identifying visual prompt contexts and avoiding fabricated data. It guides grounding specifically when your multi-reference or infographic tasks require verified inputs and current data.

Why do my image prompts lack consistent text rendering and layout composition?

Your image prompts lack consistent text rendering because they miss structured layout parameters. This skill solves fragmentation by applying a 12-field prompt framework that explicitly defines text-in-image handling, aspect ratio, and output settings.