provider-image

Generate, edit, and vary images across OpenAI, Gemini, and OpenRouter providers.

5|2|Updated Feb 8, 2026
One-click install
npx skills add https://github.com/project-ax/ax --skill provider-image
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: provider-image
Source: https://github.com/project-ax/ax/tree/main/.claude/skills/ax/provider-image
Command: npx skills add https://github.com/project-ax/ax --skill provider-image

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the process of generating images using various AI models, providing a unified interface and fallback mechanisms for reliable image creation.

Core Features & Use Cases

  • Multi-Provider Support: Integrates with multiple image generation APIs (OpenAI, Gemini, OpenRouter) for flexibility.
  • Fallback Routing: Automatically retries failed requests with different providers or models, ensuring task completion.
  • Image Editing & Variations: Supports input images for generating edits or variations based on prompts.
  • Use Case: Generate a product mockup by providing a base image and a text prompt describing the desired changes, with the skill automatically selecting the best available provider and handling any temporary API issues.

Quick Start

Use the provider-image skill to generate an image of a futuristic cityscape at sunset.

Frequently Asked Questions about provider-image

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

FAQPage Schema
How do I generate AI images using multiple providers like OpenAI and Gemini?

You can generate AI images across multiple providers like OpenAI and Gemini using a unified interface that manages API routing. This approach allows flexible model selection and automatically retries failed requests with different providers to ensure reliable image creation.

Can I use a base image to generate AI image edits and variations?

Yes, you can generate AI image edits and variations by providing a base input image alongside a text prompt. The system processes the input image to apply described changes or create visual variations using the configured AI image generation providers.

What is the best way to handle failed API requests during AI image generation?

The best way to handle failed API requests during AI image generation is using fallback routing with exponential backoff. This mechanism automatically retries failed tasks by switching to different available models or providers, ensuring resilient workflow completion.

Does this image generation skill support OpenRouter for model routing?

Yes, this image generation skill supports OpenRouter integration alongside OpenAI and Gemini. It facilitates configurable model routing across these platforms, allowing you to direct requests dynamically and fallback to alternative APIs when encountering generation failures.

How does fallback routing work for AI image generation workflows?

Fallback routing for AI image generation works by automatically detecting failed API requests and retrying them with alternative models or providers. Configurable routing combined with exponential backoff ensures temporary API issues do not halt the overall image creation workflow.

What do I need to set up before generating images across multiple AI providers?

Before generating images across multiple AI providers, you need valid API credentials for OpenAI, Gemini, or OpenRouter. Configuring these connections allows the unified interface to authenticate requests, route traffic, and manage fallbacks during your AI art generation process.