Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Generate or edit images using Google Gemini API via nanobanana. Triggers: "nanobanana", "generate image", "create image", "edit image", "AI drawing", "图片生成",...
Generate or edit images using Google Gemini API via nanobanana. Triggers: "nanobanana", "generate image", "create image", "edit image", "AI drawing", "图片生成",...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Generate or edit images using Google Gemini API through the nanobanana tool.
GEMINI_API_KEY: Must be configured in ~/.nanobanana.env or export GEMINI_API_KEY=<your-api-key> Python3 with depedent packages installed: google-genai, Pillow, python-dotenv. They could be installed via python3 -m pip install -r ${CLAUDE_PLUGIN_ROOT}/skills/nanobanana-skill/requirements.txt if not installed yet. Executable: ${CLAUDE_PLUGIN_ROOT}/skills/nanobanana-skill/nanobanana.py
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) Run the nanobanana script with appropriate parameters: python3 ${CLAUDE_PLUGIN_ROOT}/skills/nanobanana-skill/nanobanana.py --prompt "description of image" --output "filename.png" Show the user the saved image path when complete
Ask the user for: Input image file(s) to edit What changes they want (the prompt) Output filename (optional) Run with input images: python3 ${CLAUDE_PLUGIN_ROOT}/skills/nanobanana-skill/nanobanana.py --prompt "editing instructions" --input image1.png image2.png --output "edited.png"
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
gemini-3-pro-image-preview (default) - Higher quality gemini-2.5-flash-image - Faster generation
1K (default) 2K 4K
python3 ${CLAUDE_PLUGIN_ROOT}/skills/nanobanana-skill/nanobanana.py --prompt "A serene mountain landscape at sunset with a lake"
python3 ${CLAUDE_PLUGIN_ROOT}/skills/nanobanana-skill/nanobanana.py \ --prompt "Modern minimalist logo for a tech startup" \ --size 1024x1024 \ --output "logo.png"
python3 ${CLAUDE_PLUGIN_ROOT}/skills/nanobanana-skill/nanobanana.py \ --prompt "Futuristic cityscape with flying cars" \ --size 1344x768 \ --resolution 2K \ --output "cityscape.png"
python3 ${CLAUDE_PLUGIN_ROOT}/skills/nanobanana-skill/nanobanana.py \ --prompt "Add a rainbow in the sky" \ --input photo.png \ --output "photo-with-rainbow.png"
python3 ${CLAUDE_PLUGIN_ROOT}/skills/nanobanana-skill/nanobanana.py \ --prompt "Quick sketch of a cat" \ --model gemini-2.5-flash-image \ --output "cat-sketch.png"
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
Be descriptive in prompts - include style, mood, colors, composition For logos/graphics, use square aspect ratio (1024x1024) For social media posts, use 9:16 for stories or 1:1 for posts For wallpapers, use 16:9 or 21:9 Start with 1K resolution for testing, upgrade to 2K/4K for final output Use gemini-3-pro-image-preview for best quality, gemini-2.5-flash-image for speed
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