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.