
from bananahub-skill117
Multi-provider image workflow that normalizes and optimizes non-English prompts, generates and edits images across Gemini/OpenAI providers, and manages reusable
BananaHub adds a consolidated image-generation and editing workflow to an agent. It normalizes mixed-language or non-English prompts into English, applies conservative prompt optimization, routes requests to provider adapters (Gemini/Nano Banana, OpenAI, or compatible endpoints), and supports template-based generation and discovery. The skill handles generation, mask edits, multi-reference edits, and template-driven workflows while offering model recommendations and safe fallbacks.
Use BananaHub when a user explicitly requests /bananahub or mentions BananaHub and needs image generation or editing from multiple provider backends — especially for non-English prompts or when template-driven, repeatable workflows are desired. Do NOT trigger on generic image-generation messages like "生成图片". Typical triggers: /bananahub, bananahub discover, bananahub edit, and localized phrases calling out BananaHub.
Best suited for Claude Code and other agent runtimes that can call Python scripts and supply provider API keys; can also be adapted for systems using Open Agent Skills that run external skill scripts.
This skill has not been reviewed by our automated audit pipeline yet.