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From gemini-skills
Generates images from text prompts or edits/transforms input images using Google's Gemini model. Outputs images for infographics, diagrams, charts, visualizations, and illustrations.
npx claudepluginhub joshuarweaver/cascade-code-general-misc-4 --plugin stared-gemini-claude-skillsHow this skill is triggered — by the user, by Claude, or both
Slash command
/gemini-skills:nano-banana-proThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Generate images using Google's advanced Nano Banana Pro model (`gemini-3-pro-image-preview`).
Creates p5.js generative art with seeded randomness, noise fields, and interactive parameter exploration. Use for algorithmic art, flow fields, or particle systems.
Share bugs, ideas, or general feedback.
Generate images using Google's advanced Nano Banana Pro model (gemini-3-pro-image-preview).
The user must have GEMINI_API_KEY environment variable set with a valid Google AI API key.
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.
| Parameter | Required | Description |
|---|---|---|
prompt | Yes | Text description of the image to generate or transformation to apply |
-o, --output | Yes | Output filename (you decide the path based on context) |
-i, --image | No | Input image(s) for editing/transformation or as context/reference (can be used multiple times) |
--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) |
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
Edit an existing image:
uv run generate_image.py "Add a sunset sky to this image" -i photo.png -o edited.png
Transform with style:
uv run generate_image.py "Make this look like a watercolor painting" -i input.jpg -o watercolor.png
Combine multiple images:
uv run generate_image.py "Create a collage blending these images together" -i img1.png -i img2.png -o collage.png
Use image as context/reference:
uv run generate_image.py "Generate a new landscape in the same style as this reference" -i reference.png -o new_landscape.png
Nano Banana Pro excels at:
The script prints: