Generate images with Google's Nano Banana Pro (Gemini 3 Pro Image). Use when generating AI images via Gemini API, creating professional visuals, or building image generation features. Triggers on Nano Banana Pro, Gemini 3 Pro Image, gemini-3-pro-image-preview, Google image
Installs just this skill. Get the whole plugin for auto-invocation.
โก How it fires
How this skill gets triggered: by you, by Claude, or both.
Fires itselfClaude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/nano-banana-pro
๐๏ธ Context preview
The summary Claude sees to decide when to auto-load this skill.
Generate images with Google's Nano Banana Pro (Gemini 3 Pro Image). Use when generating AI images via Gemini API, creating professional visuals, or building image generation features. Triggers on Nano Banana Pro, Gemini 3 Pro Image, gemini-3-pro-image-preview, Google image
---name: nano-banana-pro
description: Generate images with Google's Nano Banana Pro (Gemini 3 Pro Image). Use when generating AI images via Gemini API, creating professional visuals, or building image generation features. Triggers on Nano Banana Pro, Gemini 3 Pro Image, gemini-3-pro-image-preview, Google image generation.
---# Nano Banana Pro (Gemini 3 Pro Image)
Generate high-quality images with Google's Gemini 3 Pro Image API.
## Overview
**Nano Banana Pro** is the marketing name for **Gemini 3 Pro Image** (`gemini-3-pro-image-preview`), Google's state-of-the-art image generation and editing model built on Gemini 3 Pro.
## Quick Start
### Get API Key
1. Go to [Google AI Studio](https://aistudio.google.com)
2. Click "Get API Key"
3. Store securely as environment variable
### Basic Image Generation (Python)
```python
from google import genai
from google.genai import types
client = genai.Client(api_key="YOUR_GEMINI_API_KEY")
response = client.models.generate_content(
model="gemini-3-pro-image-preview",
contents="A serene Japanese garden with cherry blossoms and a koi pond",
config=types.GenerateContentConfig(
response_modalities=['TEXT', 'IMAGE']