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nanobanana

Generate and edit images using Google Gemini 3 Pro Image (Nano Banana Pro).

Skill by ReScienceLab

IndexedApache-2.0★ 1,875
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/resciencelab-nanobanana

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About

Generate and edit images using Google Gemini 3 Pro Image (Nano Banana Pro). Supports text-to-image, image editing, various aspect ratios, and high-resolution output (2K/4K). Use when user wants to generate images, create images, use Gemini image generation, or do AI image generation.

Use cases: writing

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Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 3

  • aistudio.google.com · found in code
  • codeload.github.com · found in install command
  • github.com · found in code

Files it touches

  • ~/.claude/skills/nanobanana

What's inside

Skill name
nanobanana
Description
Generate and edit images using Google Gemini 3 Pro Image (Nano Banana Pro). Supports text-to-image, image editing, various aspect ratios, and high-resolution output (2K/4K). Use when user wants to generate images, create images, use Gemini image generation, or do AI image generation.
License
Apache-2.0
Instructions
198 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (5)

  • plugin.json · .claude-plugin/
  • SKILL.md
  • prompts.md · references/
  • batch_generate.py · scripts/
  • generate.py · scripts/

SKILL.md (first lines)

# Nano Banana - AI Image Generation

Generate and edit images using Google's Gemini 3 Pro Image model (`gemini-3-pro-image-preview`, nicknamed "Nano Banana Pro" 🍌).

## Prerequisites

**Required:**
- `GEMINI_API_KEY` - Get from [Google AI Studio](https://aistudio.google.com/apikey)
- Python 3.10+ with `google-genai` package

**Install dependencies:**
```bash
pip install google-genai pillow
```

## Quick Start

### Generate an image:
```bash
python3 <skill_dir>/scripts/generate.py "a cute robot mascot, pixel art style" -o robot.png
```

### Edit an existing image:
```bash
python3 <skill_dir>/scripts/generate.py "make the background blue" -i input.jpg -o output.png
```

### Generate with specific aspect ratio:
```bash
python3 <skill_dir>/scripts/generate.py "cinematic landscape" --ratio 21:9 -o landscape.png
```

### Generate high-resolution 4K image:
```bash
python3 <skill_dir>/scripts/generate.py "professional product photo" --size 4K -o product.png
```

## Script Reference

### `scripts/generate.py`

Main image generation script.

```
Usage: generate.py [OPTIONS] PROMPT

Arguments:
  PROMPT              Text prompt for image generation

Options:
  -o, --output PATH   Output file path (default: auto-generated)
  -i, --input PATH    Input image for editing (optional)
  -r, --ratio RATIO   Aspect ratio (1:1, 16:9, 9:16, 21:9, etc.)
  -s, --size SIZE     Image size: 2K or 4K (default: standard)
  --search            Enable Google Search grounding for accuracy
  -v, --verbose       Show detailed output
```

**Supported aspect ratios:**
- `1:1` - Square (default)
- `2:3`, `3:2` - Portrait/Landscape
- `3:4`, `4:3` - Standard
- `4:5`, `5:4` - Photo
- `9:16`, `16:9` - Widescreen
- `21:9` - Ultra-wide/Cinematic

### `scripts/batch_generate.py`

Generate multiple images with sequential naming.

```
Usage: batch_generate.py [OPTIONS] PROMPT

Arguments:
  PROMPT              Text prompt for image generation

Options:
  -n, --count N       Number of images to generate (default: 10)
  -d, --dir PATH      Output directory
  -p, --prefix STR    Filename prefix (default: "image")
  -r, --ratio RATIO   Aspect ratio
  -s, --size SIZE     Image size (2K/4K)
  --delay SECONDS     Delay between generations (default: 3)
```

**Example:**
```bash
python3 <skill_dir>/scripts/batch_generate.py "pixel art logo" -n 20 -d ./logos -p logo
```

## Python API

You can also use the module directly:

```python
from generate import generate_image, edit_image

# Generate image
result = generate_image(
    prompt="a futuristic city at night",
    output_path="city.png",
    aspect_ratio="16:9",
    image_size="4K"
)

# Edit existing image
result = edit_image(
    prompt="add flying cars to the sky",
    input_path="city.png",
    output_path="city_edited.png"
)
```

## Environment Variables

| Variable | Description | Default |
|----------|-------------|---------|
| `GEMINI_API_KEY` | Google Gemini API key | Required |
| `IMAGE_OUTPUT_DIR` | Default output directory | `./nanobanana-images` |

From ReScienceLab/opc-skills, Apache-2.0.

More from ReScienceLab/opc-skills

Signals

Stars
1,875
Forks
168
Open issues
10
Last commit (this folder)
Feb 15, 2026 (8 months ago)
Last release
Feb 23, 2026 (8 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
Website
opc.dev
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from ReScienceLab

Cite this page

nanobanana skill. Agent Mart. https://agentmart.dev/skills/resciencelab-nanobanana (last updated 2026-10-24)