SkillsAdd

smithery.ai

nano-banana-pro

Generate images using Google's Nano Banana Pro (gemini-3-pro-image-preview).

First seen Mar 6, 2026

Installation

$ npx skills add https://smithery.ai
View on skills.sh ↗ Website ↗

Summary

  • 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.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Skill metadata

Parsed from SKILL.md frontmatter.

Allowed toolsBash(uv:*), Write, Read

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,221 B
  • docs SUMMARY.md 406 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 34 installs

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 GEMINIAPIKEY 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