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Nano Banana Use

Community
cnemri
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 or explicitly state defaults before running.

Overview

Publishercnemri
Repositorygoogle-genai-skills
Skill namenano-banana-use
Stars
128
Forks
12
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by cnemri on GitHub. Read the source before you install it.

Installation

Install the Nano Banana Use AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/cnemri/google-genai-skills/tree/main/skills/nano-banana-use
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/cnemri/google-genai-skills.git /tmp/google-genai-skills
mkdir -p .claude/skills
cp -r /tmp/google-genai-skills/skills/nano-banana-use .claude/skills/nano-banana-use
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nano Banana Use in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Nano Banana Use on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Nano Banana Use is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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:

bash
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.

bash
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.

bash
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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Nano Banana Use AI skill do?

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.

Why use Nano Banana Use on TypingMind?

Because you install it once and use it with any model. Nano Banana Use is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Nano Banana Use in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cnemri/google-genai-skills/tree/main/skills/nano-banana-use. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Nano Banana Use?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Nano Banana Use?

As many as you like. As long as a model supports skills, you can use Nano Banana Use with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Nano Banana Use AI skill free?

Yes. It is published on GitHub by cnemri under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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