ds-image-gen

Generate or edit images via OpenRouter-compatible providers or nano-gpt endpoints.

Updated Apr 27, 2026
One-click install
npx skills add https://github.com/Conradmaker/copilot-cockpit --skill ds-image-gen
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ds-image-gen
Source: https://github.com/Conradmaker/copilot-cockpit/tree/main/.github/skills/ds-image-gen
Command: npx skills add https://github.com/Conradmaker/copilot-cockpit --skill ds-image-gen

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires certifi, openai, and includes scripts (resource) and assets (resource) components.

What problem does it solve?

Automate image generation and editing by coordinating OpenRouter-compatible providers or nano-gpt endpoints, handling provider setup, model selection, and file output.

Core Features & Use Cases

  • Supports prompt-only image generation, single-image edits, and multi-image compositions.
  • Manages provider configuration, model selection, API key handling, and output file naming.
  • Integrates with a system prompt and optional input images to maintain context across steps.

Quick Start

Provide a prompt and an output filename to generate an image.

Frequently Asked Questions about ds-image-gen

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

FAQPage Schema
How do I generate AI images using OpenRouter-compatible providers?

To generate AI images via OpenRouter-compatible providers, you provide a text prompt and an output filename. The system handles provider configuration, model selection, and API key management automatically to produce the saved image file.

Can I edit existing images or do multi-image compositions with OpenRouter?

Yes, you can perform single-image edits and multi-image compositions with OpenRouter. The workflow integrates input images with your prompt to maintain context across processing steps for accurate edits.

How do I manage API keys and switch providers for multimodal image generation?

You manage API keys using environment-based configuration for multimodal image generation. The system coordinates provider switching automatically, allowing you to route requests to different OpenRouter-compatible or nano-gpt endpoints dynamically.

Does this image generation workflow enforce output paths and MIME handling?

Yes, the image generation workflow enforces specific output paths and proper MIME handling. It manages output file naming and enforces input limits to ensure saved images are stored correctly and securely.

What is the best way to automate image generation and editing with nano-gpt endpoints?

The best way to automate image generation and editing with nano-gpt endpoints is to coordinate provider setup and model selection through a prompt-driven workflow. This handles file output and maintains context across steps.

Are there limitations when switching models in a multi-image workflow?

When switching models in a multi-image workflow, limitations include enforced input limits and strict MIME handling for saved images. You must ensure your environment-based API keys match the selected OpenRouter-compatible provider or nano-gpt endpoint requirements.