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/nano-banana-use

Generate, edit, and compose images using Gemini Nano Banana models via portable Python scripts. Handles authentication via API Key or Vertex AI environment variables. Available parameters: prompt, model, aspect-ratio, safety-filter-level. Always confirm parameters with the user

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$ npx -y skills add cnemri/google-genai-skills --skill nano-banana-use --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/nano-banana-use

Context preview

The summary Claude sees to decide when to auto-load this skill.

Generate, edit, and compose images using Gemini Nano Banana models via portable Python scripts. Handles authentication via API Key or Vertex AI environment variables. Available parameters: prompt, model, aspect-ratio, safety-filter-level. Always confirm parameters with the user

SKILL.md

nano-banana-use.SKILL.md
name: nano-banana-use
description: "Generate, edit, and compose images using Gemini Nano Banana models via portable Python scripts. Handles authentication via API Key or Vertex AI environment variables. Available parameters: prompt, model, aspect-ratio, safety-filter-level. Always confirm parameters with the user or explicitly state defaults before running."

Nano Banana Use

Use this skill to generate, edit, and compose images using Gemini's Nano Banana models (`gemini-2.5-flash-image` and `gemini-3-pro-image-preview`).

This skill uses portable Python scripts managed by `uv`.

Prerequisites

Ensure you have one of the following authentication methods configured in your environment:

1. **API Key**:

  • `GOOGLE_API_KEY` or `GEMINI_API_KEY`

2. **Vertex AI**:

  • `GOOGLE_CLOUD_PROJECT`
  • `GOOGLE_CLOUD_LOCATION`
  • `GOOGLE_GENAI_USE_VERTEXAI=1`

Usage

Generate an Image

**Step 1: Confirm Parameters** Before running the script, confirm the following parameters with the user or state the defaults you will use:

  • **Prompt**: The image description.
  • **Model**: Default is `gemini-3-pro-image-preview`.
  • **Aspect Ratio**: Default is `1:1`.
  • **Safety Filter**: Default is `BLOCK_MEDIUM_AND_ABOVE`.

**Step 2: Run the Script** Run the python script using `uv`:

uv run skills/nano-banana-use/scripts/generate_image.py "A futuristic banana city" --output city.png

Edit an Image

Modify an existing image based on a text prompt.

uv run skills/nano-banana-use/scripts/edit_image.py original.png "Make the sky purple" --output edited.png

Compose Images

Generate a new image based on multiple input images and a prompt.

uv run skills/nano-banana-use/scripts/compose_image.py --image style.png --image subject.jpg "A painting of the subject in the style of the first image" --output composition.png

Options

  • `prompt`: The text description of the image.
  • `--model`: The model to use. Defaults to `gemini-3-pro-image-preview`.
  • `--output`: The filename for the saved image. Defaults to `generated_image.png`.
  • `--aspect-ratio`: The aspect ratio of the generated image. Defaults to `1:1`. Supported: `1:1`, `16:9`, `4:3`, `3:4`, `9:16`.
  • `--safety-filter-level`: Safety filter threshold. Defaults to `BLOCK_MEDIUM_AND_ABOVE`.
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Ships withgoogle-genai-skills

A curated collection of agentic skills for Google AI frameworks and models. Designed to work seamlessly with Gemini CLI, Antigravity, Claude Code, and more. Author: Chouaieb Nemri

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