# Nano Banana Pro

> Generate and edit images using Google's Nano Banana Pro (Gemini 3 Pro Image) API. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports both text-to-image generation and image-to-image editing with configurable resolution (1K default, 2K, or 4K for high resolution). DO NOT read the image file first - use this skill directly with the --input-image parameter.

Source: https://skillsagentes.com/skills/intellectronica/agent-skills/nano-banana-pro
Repository: https://github.com/intellectronica/agent-skills
Author: intellectronica
License: CC0-1.0
Updated: hace 6 meses
Context cost: 141 tok installed, 1.1k tok once triggered, 2.5k tok with every bundled file
Bundle: 2 files, 10 KB
Permissions requested: none declared

## Install

```bash
npx -y skills add intellectronica/agent-skills --skill nano-banana-pro --agent claude-code
```

## What it does

- Genera imágenes nuevas a partir de texto usando la API de Nano Banana Pro (Gemini 3 Pro Image)
- Edita imágenes existentes aplicando instrucciones de modificación con --input-image
- Elige automáticamente la resolución (1K, 2K o 4K) según lo que pida el usuario
- Genera nombres de archivo con patrón yyyy-mm-dd-hh-mm-ss-nombre.png
- Guarda el PNG en el directorio de trabajo actual del usuario

## Use it when

- El usuario pide generar, crear, editar, modificar, cambiar o actualizar una imagen
- El usuario referencia una imagen existente y pide modificarla de cualquier forma

## What triggers it

- "Genera una imagen de un jardín japonés en primavera"
- "Cambia el fondo de esta foto por un atardecer"
- "Haz esta imagen en alta resolución 4K"
- "Elimina a la persona de esta imagen"

## Before you install

- Requiere una clave de API válida vía --api-key o la variable de entorno GEMINI_API_KEY, y uv instalado para ejecutar el script.
- Environment: GEMINI_API_KEY

## Files

- SKILL.md — 4 KB
- scripts/generate_image.py — 6 KB

## SKILL.md

Reproduced verbatim from intellectronica/agent-skills under CC0-1.0. This section is the upstream document and is in English.

# Nano Banana Pro Image Generation & Editing

Generate new images or edit existing ones using Google's Nano Banana Pro API (Gemini 3 Pro Image).

## Usage

Run the script using absolute path (do NOT cd to skill directory first):

**Generate new image:**
```bash
uv run ~/.claude/skills/nano-banana-pro/scripts/generate_image.py --prompt "your image description" --filename "output-name.png" [--resolution 1K|2K|4K] [--api-key KEY]
```

**Edit existing image:**
```bash
uv run ~/.claude/skills/nano-banana-pro/scripts/generate_image.py --prompt "editing instructions" --filename "output-name.png" --input-image "path/to/input.png" [--resolution 1K|2K|4K] [--api-key KEY]
```

**Important:** Always run from the user's current working directory so images are saved where the user is working, not in the skill directory.

## Resolution Options

The Gemini 3 Pro Image API supports three resolutions (uppercase K required):

- **1K** (default) - ~1024px resolution
- **2K** - ~2048px resolution
- **4K** - ~4096px resolution

Map user requests to API parameters:
- No mention of resolution → `1K`
- "low resolution", "1080", "1080p", "1K" → `1K`
- "2K", "2048", "normal", "medium resolution" → `2K`
- "high resolution", "high-res", "hi-res", "4K", "ultra" → `4K`

## API Key

The script checks for API key in this order:
1. `--api-key` argument (use if user provided key in chat)
2. `GEMINI_API_KEY` environment variable

If neither is available, the script exits with an error message.

## Filename Generation

Generate filenames with the pattern: `yyyy-mm-dd-hh-mm-ss-name.png`

**Format:** `{timestamp}-{descriptive-name}.png`
- Timestamp: Current date/time in format `yyyy-mm-dd-hh-mm-ss` (24-hour format)
- Name: Descriptive lowercase text with hyphens
- Keep the descriptive part concise (1-5 words typically)
- Use context from user's prompt or conversation
- If unclear, use random identifier (e.g., `x9k2`, `a7b3`)

Examples:
- Prompt "A serene Japanese garden" → `2025-11-23-14-23-05-japanese-garden.png`
- Prompt "sunset over mountains" → `2025-11-23-15-30-12-sunset-mountains.png`
- Prompt "create an image of a robot" → `2025-11-23-16-45-33-robot.png`
- Unclear context → `2025-11-23-17-12-48-x9k2.png`

## Image Editing

When the user wants to modify an existing image:
1. Check if they provide an image path or reference an image in the current directory
2. Use `--input-image` parameter with the path to the image
3. The prompt should contain editing instructions (e.g., "make the sky more dramatic", "remove the person", "change to cartoon style")
4. Common editing tasks: add/remove elements, change style, adjust colors, blur background, etc.

## Prompt Handling

**For generation:** Pass user's image description as-is to `--prompt`. Only rework if clearly insufficient.

**For editing:** Pass editing instructions in `--prompt` (e.g., "add a rainbow in the sky", "make it look like a watercolor painting")

Preserve user's creative intent in both cases.

## Output

- Saves PNG to current directory (or specified path if filename includes directory)
- Script outputs the full path to the generated image
- **Do not read the image back** - just inform the user of the saved path

## Examples

**Generate new image:**
```bash
uv run ~/.claude/skills/nano-banana-pro/scripts/generate_image.py --prompt "A serene Japanese garden with cherry blossoms" --filename "2025-11-23-14-23-05-japanese-garden.png" --resolution 4K
```

**Edit existing image:**
```bash
uv run ~/.claude/skills/nano-banana-pro/scripts/generate_image.py --prompt "make the sky more dramatic with storm clouds" --filename "2025-11-23-14-25-30-dramatic-sky.png" --input-image "original-photo.jpg" --resolution 2K
```

---

Skills Agentes — https://skillsagentes.com/skills/intellectronica/agent-skills/nano-banana-pro