banana

Orchestrate Gemini Nano Banana image generation workflows with optimized prompts and batch pipelines.

Updated Apr 21, 2026
One-click install
npx skills add https://github.com/chriswestt/claude-skills --skill banana-chriswestt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: banana
Source: https://github.com/chriswestt/claude-skills/tree/main/banana
Command: npx skills add https://github.com/chriswestt/claude-skills --skill banana-chriswestt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Banana acts as a Creative Director for Gemini Nano Banana image generation, orchestrating prompts, model selection, and workflow coordination so non-experts can produce professional visuals without manual prompt engineering.

Core Features & Use Cases

  • Structured prompt engineering using the 5-component framework (Subject, Action, Location/Context, Composition, Style) to consistently generate high-fidelity images.
  • Supports generation, editing, multi-turn visual sessions, batch variations, and brand/style presets to ensure brand-consistent assets across campaigns.
  • Provides domain routing guidance, aspect-ratio and imageSize control, and integration with MCP-based tooling plus local fallbacks for reliability.

Quick Start

Ask Banana to generate a 2K landscape image of a serene mountain lake at golden hour.

Frequently Asked Questions about banana

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

FAQPage Schema
How do I structure prompts for AI image generation to get consistent professional results?

You can achieve consistent AI image generation by using a structured prompt engineering framework that defines Subject, Action, Location/Context, Composition, and Style to reliably produce high-fidelity visuals.

Can I generate batch variations and brand-consistent marketing visuals using Gemini?

Yes, you can generate batch variations and maintain brand consistency by applying brand and style presets across marketing, design, and product visual campaigns within the Gemini image generation workflow.

Does this approach support multi-turn image editing and aspect ratio control?

This approach supports multi-turn visual sessions for image editing, providing precise aspect ratio and imageSize control alongside deterministic generation pipelines for accurate visual outputs.

What is the best way to manage model selection and safety checks for text-to-image creation?

The best way to manage text-to-image creation is using a Creative Director workflow that orchestrates model selection, applies automated safety checks, and coordinates MCP-based integration with local fallbacks for reliability.

Do I need MCP-based tooling to use automated prompt engineering for image assets?

You do not strictly need MCP-based tooling, as the workflow provides local fallbacks for reliability, but MCP integration optimizes the automated prompt engineering and batch generation pipelines for your image assets.