ReddRadar
Agent skill
nano-banana-pro
Generate images using Google's Nano Banana Pro (gemini-3-pro-image-preview). Use when user asks to create, generate, or draw images, infographics, visualizations, diagrams, charts, illustrations, or any visual content. Excellent for data-accurate infographics and text rendering.
Install this agent skill to your Project
npx add-skill https://github.com/landfill/devtool-and-rule/tree/main/skills/nano-banana-pro
SKILL.md
Nano Banana Pro Image Generator
Generate images using Google's advanced Nano Banana Pro model (gemini-3-pro-image-preview).
Prerequisites
The user must have GEMINI_API_KEY environment variable set with a valid Google AI API key.
Usage
The script is located in the same directory as this SKILL.md file. Run it with uv run:
uv run /path/to/skills/nano-banana-pro/generate_image.py "your prompt" -o output.png
When this skill is invoked, locate generate_image.py in the skill directory and run it.
Parameters
| Parameter | Required | Description |
|---|---|---|
prompt |
Yes | Text description of the image to generate |
-o, --output |
Yes | Output filename (you decide the path based on context) |
--aspect-ratio |
No | One of: 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9 (default: 1:1) |
--size |
No | Image size: 1K, 2K, 4K (default: 1K) |
Examples
Basic image generation:
uv run generate_image.py "A sunset over mountains" -o sunset.png
Infographic with specific aspect ratio:
uv run generate_image.py "Infographic showing the water cycle with labeled stages" -o water_cycle.png --aspect-ratio 9:16
High-resolution ultrawide:
uv run generate_image.py "Professional photo of a modern office space" -o office.png --aspect-ratio 21:9 --size 4K
Model Capabilities
Nano Banana Pro excels at:
- Accurate infographics with real data (uses Google Search grounding)
- Text rendering in images
- Cartographic visualizations and maps
- Detailed instruction following
- Chain-of-thought reasoning for complex visual tasks
Output
The script prints:
- Progress message while generating
- Path to saved image on success
- Any text response from the model
- Error message if no image was generated
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