Agent-Skills.md

Agent Skills: Nano Banana Pro Image Generator

Generate images using Google's Nano Banana Pro (gemini-3-pro-image-preview). Accepts text prompts and optionally images (for editing/transformation) as INPUT. Returns generated IMAGES as OUTPUT. Use when user asks to create, generate, edit, or draw images, infographics, visualizations, diagrams, charts, or illustrations. Excellent for data-accurate infographics and text rendering.

UncategorizedID: stared/gemini-claude-skills/nano-banana-pro

Repository

stared/gemini-claude-skills
staredLicense: MIT
61

Install this agent skill to your local

pnpm dlx add-skill https://github.com/stared/gemini-claude-skills/tree/HEAD/skills/nano-banana-pro

Skill Files

Browse the full folder contents for nano-banana-pro.

Download Skill

Loading file tree…

skills/nano-banana-pro/SKILL.md

Skill Metadata

Name
nano-banana-pro
Description
Generate images using Google's Nano Banana Pro (gemini-3-pro-image-preview). Accepts text prompts and optionally images (for editing/transformation) as INPUT. Returns generated IMAGES as OUTPUT. Use when user asks to create, generate, edit, or draw images, infographics, visualizations, diagrams, charts, or illustrations. Excellent for data-accurate infographics and text rendering.

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 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) |

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

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

Model Capabilities

Nano Banana Pro excels at:

  • Accurate infographics with real data (uses Google Search grounding)
  • Text rendering in images
  • Image editing and transformation from input images
  • Context-aware generation using reference images for style, composition, or subject
  • 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