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nanobanana-skill — Categories.community

v1.0.0
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About this Skill

Perfect for Visual Coding Agents needing advanced image generation and editing capabilities through Google Gemini API OpenAI Codex CLI settings, configurations, skills and prompts for vibe coding

feiskyer feiskyer
[0]
[0]
Updated: 2/20/2026

Quality Score

Top 5%
75
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add feiskyer/codex-settings/nanobanana-skill

Agent Capability Analysis

The nanobanana-skill MCP Server by feiskyer is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion.

Ideal Agent Persona

Perfect for Visual Coding Agents needing advanced image generation and editing capabilities through Google Gemini API

Core Value

Empowers agents to generate and edit images using the Google Gemini API, leveraging libraries like Pillow and google-genai, and supporting configuration through python-dotenv, all while utilizing the nanobanana tool for efficient vibe coding

Capabilities Granted for nanobanana-skill MCP Server

Generating images for web applications
Editing existing images using the Google Gemini API
Automating image processing tasks with Python3 and dependent packages

! Prerequisites & Limits

  • Requires GEMINI_API_KEY configuration
  • Needs Python3 with specific dependent packages installed (google-genai, Pillow, python-dotenv)
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Nanobanana Image Generation Skill

Generate or edit images using Google Gemini API through the nanobanana tool.

Requirements

  1. GEMINI_API_KEY: Must be configured in ~/.nanobanana.env or export GEMINI_API_KEY=<your-api-key>
  2. Python3 with depedent packages installed: google-genai, Pillow, python-dotenv. They could be installed via python3 -m pip install -r ~/.codex/skills/nanobanana-skill/requirements.txt if not installed yet.
  3. Executable: ~/.codex/skills/nanobanana-skill/nanobanana.py

Example .nanobanana.env:

bash
1GEMINI_API_KEY=sk-dummy

Instructions

For image generation

  1. Ask the user for:

    • What they want to create (the prompt)
    • Desired aspect ratio/size (optional, defaults to 9:16 portrait)
    • Output filename (optional, auto-generates UUID if not specified)
    • Model preference (optional, defaults to gemini-3-pro-image-preview)
    • Resolution (optional, defaults to 1K)
  2. Run the nanobanana script with appropriate parameters:

    bash
    1python3 ~/.codex/skills/nanobanana-skill/nanobanana.py --prompt "description of image" --output "filename.png"
  3. Show the user the saved image path when complete

For image editing

  1. Ask the user for:

    • Input image file(s) to edit
    • What changes they want (the prompt)
    • Output filename (optional)
  2. Run with input images:

    bash
    1python3 ~/.codex/skills/nanobanana-skill/nanobanana.py --prompt "editing instructions" --input image1.png image2.png --output "edited.png"

Available Options

Aspect Ratios (--size)

  • 1024x1024 (1:1) - Square
  • 832x1248 (2:3) - Portrait
  • 1248x832 (3:2) - Landscape
  • 864x1184 (3:4) - Portrait
  • 1184x864 (4:3) - Landscape
  • 896x1152 (4:5) - Portrait
  • 1152x896 (5:4) - Landscape
  • 768x1344 (9:16) - Portrait (default)
  • 1344x768 (16:9) - Landscape
  • 1536x672 (21:9) - Ultra-wide

Models (--model)

  • gemini-3-pro-image-preview (default) - Higher quality
  • gemini-2.5-flash-image - Faster generation

Resolution (--resolution)

  • 1K (default)
  • 2K
  • 4K

Optional Flags

  • --enable-google-search Enable Google Search tool for the model (default: disabled)
  • --include-thoughts Include model thinking in output (default: disabled)

Examples

Generate a simple image

bash
1python3 ~/.codex/skills/nanobanana-skill/nanobanana.py --prompt "A serene mountain landscape at sunset with a lake"

Generate with specific size and output

bash
1python3 ~/.codex/skills/nanobanana-skill/nanobanana.py \ 2 --prompt "Modern minimalist logo for a tech startup" \ 3 --size 1024x1024 \ 4 --output "logo.png"

Generate landscape image with high resolution

bash
1python3 ~/.codex/skills/nanobanana-skill/nanobanana.py \ 2 --prompt "Futuristic cityscape with flying cars" \ 3 --size 1344x768 \ 4 --resolution 2K \ 5 --output "cityscape.png"

Edit existing images

bash
1python3 ~/.codex/skills/nanobanana-skill/nanobanana.py \ 2 --prompt "Add a rainbow in the sky" \ 3 --input photo.png \ 4 --output "photo-with-rainbow.png"

Use faster model

bash
1python3 ~/.codex/skills/nanobanana-skill/nanobanana.py \ 2 --prompt "Quick sketch of a cat" \ 3 --model gemini-2.5-flash-image \ 4 --output "cat-sketch.png"

Error Handling

If the script fails:

  • Check that GEMINI_API_KEY is exported or set in ~/.nanobanana.env
  • Verify input image files exist and are readable
  • Ensure the output directory is writable
  • If no image is generated, try making the prompt more specific about wanting an image

Best Practices

  1. Be descriptive in prompts - include style, mood, colors, composition
  2. For logos/graphics, use square aspect ratio (1024x1024)
  3. For social media posts, use 9:16 for stories or 1:1 for posts
  4. For wallpapers, use 16:9 or 21:9
  5. Start with 1K resolution for testing, upgrade to 2K/4K for final output
  6. Use gemini-3-pro-image-preview for best quality, gemini-2.5-flash-image for speed

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