MCPInstall

nanobanana

by gargantuaxMedia & Creative

Gemini-native Nano Banana image generation and editing across Nano Banana, Nano Banana 2, and Nano Banana Pro. Use when you need text-to-image, image-to-image edits, repeated local references, batch generation, dry-run request inspection, or a custom Gemini-compatible base URL such as a self-hosted gateway.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/gargantuax/openskills --skill nanobanana
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads nanobanana automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

Security audits

Independent scans of the skill's instructions and bundled files.

Gen Agent Trust Hub PassSAFE ·The 'nanobanana' skill provides a secure Python CLI for generating and editing images using Google's Gemini API. It uses only Python's standard library, requires no external dependencies, and follows security best practices for secret management by supporting environment variables and .env files. Analysis detected no malicious patterns or vulnerabilities.
Socket Warn1 alert: gptAnomaly
Snyk PassLOW ·Risk: LOW · No issues

SKILL.md

The instructions your agent reads when the skill is triggered.

Nano Banana

A single Python entrypoint for Gemini-native Nano Banana image generation and editing, with model aliases, strict option validation, batch runs, and custom endpoint support.

Workflow

  1. Open references/config.md to choose environment variables and override order.
  2. Open references/models-and-api.md to pick the right Nano Banana tier and check model-specific constraints.
  3. Prefer gemini-3.1-flash-image-preview (nanobanana-2) unless you need either the fastest low-cost default (nanobanana) or the highest-fidelity reasoning model (nanobanana-pro).
  4. Run scripts/nanobanana.py generate for one request or scripts/nanobanana.py batch for repeated variants.
  5. Add --dry-run first when the main risk is the payload shape, endpoint, or model-specific option support.
  6. Pass --base-url or GEMINI_BASE_URL when you need a custom Gemini-compatible gateway.
  7. Add --save-response <path> on generate when you need the raw JSON body for debugging.

Commands

Single text-to-image request:

python .\skills\nanobanana\scripts\nanobanana.py generate `
  --prompt "A retro-futurist product hero illustration for a developer tool" `
  --output .\out\hero.png `
  --model nanobanana-2 `
  --ratio 16:9 `
  --size 2K

Edit an existing image with two local references:

python .\skills\nanobanana\scripts\nanobanana.py generate `
  --prompt "Turn these references into a clean launch poster with legible title text" `
  --input-image .\refs\subject.png `
  --input-image .\refs\background.png `
  --output .\out\poster.png `
  --model nanobanana-pro `
  --ratio 4:5 `
  --size 2K

Use a custom Gemini-compatible gateway:

python .\skills\nanobanana\scripts\nanobanana.py generate `
  --prompt "A bold mascot sticker pack" `
  --output .\out\stickers.png `
  --base-url http://your-gateway.example.com/v1beta `
  --auth-mode bearer

Batch-generate five variants:

python .\skills\nanobanana\scripts\nanobanana.py batch `
  --prompt "Minimal app icon for a PDF workflow product" `
  --count 5 `
  --dir .\out\icons `
  --prefix icon `
  --model nanobanana `
  --ratio 1:1

Inspect the final request without sending it:

python .\skills\nanobanana\scripts\nanobanana.py generate `
  --prompt "An editorial illustration of AI agents at work" `
  --model nanobanana-2 `
  --output .\out\agents.png `
  --dry-run

Rules

  • --model accepts the aliases nanobanana, nanobanana-2, and nanobanana-pro, or an exact Gemini model ID.
  • nanobanana resolves to gemini-2.5-flash-image, nanobanana-2 resolves to gemini-3.1-flash-image-preview, and nanobanana-pro resolves to gemini-3-pro-image-preview.
  • image_size is only valid on Gemini 3 image models; nanobanana rejects --size.
  • 512 resolution is only valid on nanobanana-2.
  • Process environment variables override .env; CLI flags override both.
  • Never print secrets.
  • generate accepts repeated --input-image paths for image editing or multi-reference generation.
  • --base-url should point to the Gemini API root such as https://generativelanguage.googleapis.com/v1beta, not directly to /models/....
  • --auth-mode auto uses x-goog-api-key for the official Google endpoint and sends both Authorization: Bearer and x-goog-api-key for custom endpoints to maximize gateway compatibility.

Resources

  • Script: scripts/nanobanana.py
  • Config reference: references/config.md
  • Models and API reference: references/models-and-api.md

FAQ

What does the nanobanana skill do?

Gemini-native Nano Banana image generation and editing across Nano Banana, Nano Banana 2, and Nano Banana Pro. Use when you need text-to-image, image-to-image edits, repeated local references, batch generation, dry-run request inspection, or a custom Gemini-compatible base URL such as a self-hosted gateway.

How do I install nanobanana?

Run npx skills add https://github.com/gargantuax/openskills --skill nanobanana in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/nanobanana/ (personal) or .claude/skills/nanobanana/ (project).

Which AI agents can use nanobanana?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is nanobanana safe to install?

Security partners have reviewed it: Gen Agent Trust Hub passed; Socket flagged items to review; Snyk passed. As with any skill, read the SKILL.md and bundled scripts before installing.

Who maintains nanobanana?

It is published by gargantuax in gargantuax/openskills. It has 10,566 recorded installs.

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