nano-banana

Generate AI images from prompts, reference images, and size controls.

Updated Mar 30, 2026

Search Tags:#image generation #cost tracking #ai art #reference images #style transfer #ui mockups #transparent assets

Ready to run

npx skills add https://github.com/miethe/signal_to_system --skill nano-banana-miethe

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: nano-banana
Source: https://github.com/miethe/signal_to_system/tree/main/.agents/skills/nano-banana
Command: npx skills add https://github.com/miethe/signal_to_system --skill nano-banana-miethe

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It removes the friction of creating and editing AI-generated images by giving you a single command for fast concept art, production assets, and variant generation.

Core Features & Use Cases

Image generation and editing: Create new visuals or transform existing ones with prompt-driven instructions and reference images.
Flexible asset creation: Produce UI mockups, marketing art, game sprites, mascots, and transparent assets at multiple resolutions and aspect ratios.
Practical workflows: Useful when you need quick iterations, style transfer, exact output sizing, green-screen transparency, or cost-aware generation.

Quick Start

Ask the skill to generate an image for your chosen prompt, size, aspect ratio, and reference images, then save the result to a named output file.

Frequently Asked Questions about nano-banana

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate AI images with transparent backgrounds for production assets?▼

To generate AI images with transparent backgrounds, you provide a text prompt and enable the optional background removal feature during output. This process supports green-screen transparency workflows, yielding production-ready game sprites and marketing assets.

Can I use reference images for style transfer in AI art generation?▼

You can use reference images for style transfer by supplying them alongside your prompt-driven instructions. The generation process transforms existing visuals into new artwork, applying the desired aesthetic while maintaining exact size controls and aspect ratios.

How do I control exact resolution and aspect ratio when creating UI mockups?▼

Controlling exact resolution and aspect ratio for UI mockups requires selecting your specific output dimensions before generation. The process enforces these size constraints and model choices to produce tailored marketing art and product design visuals.

Does AI image generation include cost tracking for marketing and video workflows?▼

AI image generation includes cost tracking to manage expenses across marketing and video workflows. The process requires model choice and monitors generation costs, ensuring cost-aware iterations for quick concept art and variant production.

What is the best way to create game assets and mascots using prompt-driven instructions?▼

The best way to create game assets and mascots is using prompt-driven instructions with exact size controls. This approach quickly generates flexible visual assets at multiple resolutions, removing the friction of manual editing for production variants.

Are there limitations when using reference images for AI art style transfer?▼

Limitations when using reference images for style transfer include the necessity of exact size controls and resolution selection. The process requires specific aspect ratio configurations and model choices to yield production-ready outputs without misaligned visual assets.