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bananahub-ai
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bananahub

Aggregate multiple image providers and optimize prompts for generation and editing.

118|Updated Mar 6, 2026
Search Tags:#workflow automation#image generation#prompt optimization#image editing#template system
One-click install
npx skills add https://github.com/bananahub-ai/bananahub-skill --skill bananahub
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bananahub
Source: https://github.com/bananahub-ai/bananahub-skill/tree/main
Command: npx skills add https://github.com/bananahub-ai/bananahub-skill --skill bananahub

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, pillow, openai-api, gemini-api, google-api, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

BananaHub addresses the complexities of image generation and editing by simplifying prompt management, optimizing provider selection, and streamlining workflows.

Core Features & Use Cases

  • Unified Command Interface: Access all image generation and editing capabilities through a single /bananahub command.
  • Prompt Optimization: Normalize and enhance prompts for better image generation results.
  • Provider Aggregation: Integrate with multiple image providers, including OpenAI GPT Image, Gemini, and host-native tools.
  • Template System: Utilize pre-defined templates for common tasks like infographic creation or image editing.
  • Use Cases: Whether you need to create a professional infographic, design a logo, or generate unique product images, BananaHub provides a streamlined workflow to achieve your goals.

Quick Start

Install the BananaHub skill: npx skills add https://github.com/bananahub-ai/bananahub-skill --skill bananahub Initialize your setup: /bananahub init Generate an image from a prompt: /bananahub 一只橘猫趴在键盘上打盹

Frequently Asked Questions about bananahub

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

FAQPage Schema
How do I optimize image generation prompts across multiple providers?▼

Prompt optimization for image generation is achieved by normalizing and enhancing input text to improve results across aggregated providers like OpenAI and Gemini. BananaHub applies this automatically via its unified command interface.

How do I automate image editing workflows with Python and Pillow?▼

You can automate image editing workflows by installing the BananaHub skill in a Python environment equipped with Pillow and API keys. The system provides a unified command interface to execute editing tasks programmatically.

Do I need API keys for OpenAI and Gemini to use an image generation template system?▼

Yes, utilizing the template system for image generation requires API keys for OpenAI and Gemini. BananaHub depends on these external APIs alongside Python and Pillow to execute its provider aggregation and prompt optimization features.

What is the best way to integrate multiple image providers into a single workflow?▼

Integrating multiple image providers into a single workflow is best handled by a unified command interface that aggregates OpenAI, Gemini, and native tools. BananaHub standardizes this process, enabling prompt optimization and template usage across providers.

Can I use pre-defined templates for infographic creation and image editing?▼

You can use pre-defined templates for tasks like infographic creation and image editing. BananaHub features a template system that streamlines these specific workflows, operating alongside its unified image generation and editing commands.

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