nanobanana-skill
Generate or edit images using Google Gemini API via nanobanana. Triggers: "nanobanana", "generate image", "create image", "edit image", "AI drawing", "图片生成", "AI绘图", "图片编辑", "生成图片".
npx skills add majiayu000/claude-skill-registry --skill nanobanana-skill-feiskyer-claude-code-settings --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 ${CLAUDE_PLUGIN_ROOT}/skills/nanobanana-skill/requirements.txt` if not installed yet. 3. **Executable**: `${CLAUDE_PLUGIN_ROOT}/skills/nanobanana-skill/nanobanana.py` ## 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 python3 ${CLAUDE_PLUGIN_ROOT}/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)
- Requirements
- Instructions
- For image generation
- For image editing
- Available Options
- Aspect Ratios (--size)
- Models (--model)
- Resolution (--resolution)
- Examples
- Generate a simple image
- Generate with specific size and output
- Generate landscape image with high resolution
- Edit existing images
- Use faster model
python3 ${CLAUDE_PLUGIN_ROOT}/skills/nanobanana-skill/nanobanana.py --prompt "description of image" --output "filename.png"
python3 ${CLAUDE_PLUGIN_ROOT}/skills/nanobanana-skill/nanobanana.py --prompt "editing instructions" --input image1.png image2.png --output "edited.png"
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 \What does the nanobanana-skill skill do?
Generate or edit images using Google Gemini API via nanobanana. Triggers: "nanobanana", "generate image", "create image", "edit image", "AI drawing", "图片生成", "AI绘图", "图片编辑", "生成图片".
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill nanobanana-skill-feiskyer-claude-code-settings --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.