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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".

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
3,084
Hot score
99
Updated
March 20, 2026
Overall rating
C4.0
Composite score
4.0
Best-practice grade
B80.4

Install command

npx @skill-hub/cli install openclaw-skills-nanobanana-skill

Repository

openclaw/skills

Skill path: skills/feiskyer/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".

Open repository

Best for

Primary workflow: Analyze Data & AI.

Technical facets: Full Stack, Backend, Data / AI.

Target audience: everyone.

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: openclaw.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install nanobanana-skill into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/openclaw/skills before adding nanobanana-skill to shared team environments
  • Use nanobanana-skill for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

Original source / Raw SKILL.md

---
name: nanobanana-skill
description: '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".'
allowed-tools: Read, Write, Glob, Grep, Task, Bash(cat:*), Bash(ls:*), Bash(tree:*), Bash(python3:*)
---

# 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) to edit
   - What changes they want (the prompt)
   - Output filename (optional)

2. Run with input images:

   ```bash
   python3 ${CLAUDE_PLUGIN_ROOT}/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`

## Examples

### Generate a simple image

```bash
python3 ${CLAUDE_PLUGIN_ROOT}/skills/nanobanana-skill/nanobanana.py --prompt "A serene mountain landscape at sunset with a lake"
```

### Generate with specific size and output

```bash
python3 ${CLAUDE_PLUGIN_ROOT}/skills/nanobanana-skill/nanobanana.py \
  --prompt "Modern minimalist logo for a tech startup" \
  --size 1024x1024 \
  --output "logo.png"
```

### Generate landscape image with high resolution

```bash
python3 ${CLAUDE_PLUGIN_ROOT}/skills/nanobanana-skill/nanobanana.py \
  --prompt "Futuristic cityscape with flying cars" \
  --size 1344x768 \
  --resolution 2K \
  --output "cityscape.png"
```

### Edit existing images

```bash
python3 ${CLAUDE_PLUGIN_ROOT}/skills/nanobanana-skill/nanobanana.py \
  --prompt "Add a rainbow in the sky" \
  --input photo.png \
  --output "photo-with-rainbow.png"
```

### Use faster model

```bash
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"
```

## 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


---

## Skill Companion Files

> Additional files collected from the skill directory layout.

### _meta.json

```json
{
  "owner": "feiskyer",
  "slug": "nanobanana-skill",
  "displayName": "Nanobanana Skill",
  "latest": {
    "version": "0.1.0",
    "publishedAt": 1772248030468,
    "commit": "https://github.com/openclaw/skills/commit/08ef26da24a57666faa0d0a814116aa39bd9f795"
  },
  "history": []
}

```

nanobanana-skill | SkillHub