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imagegen

Generate and edit raster images for digital assets via CLI batch processing.

Updated Jul 6, 2026
Search Tags:#image generation#visual design#photo editing#ai art#ui mockup#raster graphics
One-click install
npx skills add https://github.com/shirulot/codex-skill --skill imagegen-shirulot
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: imagegen
Source: https://github.com/shirulot/codex-skill/tree/main/imagegen
Command: npx skills add https://github.com/shirulot/codex-skill --skill imagegen-shirulot

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill solves the challenge of creating or modifying bitmap assets like photos, illustrations, and UI mockups directly within your workflow without needing external design software.

Core Features & Use Cases

  • Generative Creation: Produce brand-new images from text prompts, including product mockups, concept art, and UI wireframes.
  • Intelligent Editing: Perform precise edits such as background removal, object replacement, and lighting adjustments on existing images.
  • Use Case: Quickly generate a hero image for a landing page or perform a background swap on a product photo to match a new brand aesthetic.

Quick Start

Use the imagegen skill to generate a photorealistic product mockup of a ceramic coffee mug with soft studio lighting.

Frequently Asked Questions about imagegen

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

FAQPage Schema
How do I generate UI mockups and product mockups from text prompts?▼

You can generate UI mockups and product mockups by providing text prompts to create brand-new raster images. This approach supports high-fidelity bitmap outputs for concept art and digital assets without external design software.

Can I perform background removal and object replacement on existing raster images?▼

Yes, you can perform intelligent editing on existing raster images including background removal, object replacement, and lighting adjustments. This allows precise modifications to match new brand aesthetics directly within your workflow.

Does this image generation approach support batch processing for complex visual tasks?▼

Batch processing is supported through explicit CLI-based commands for complex visual tasks. This integrates with existing project workflows to provide high-fidelity bitmap outputs while maintaining strict adherence to user-defined constraints.

Do I need OpenAI and Pillow dependencies to edit bitmap assets?▼

Yes, OpenAI and Pillow are required dependencies for generating and editing bitmap assets like photos and illustrations. They enable both AI-driven generation and explicit raster image processing within your digital asset workflow.

What are the limitations of using AI-driven generation for high-fidelity bitmap outputs?▼

AI-driven generation for high-fidelity bitmap outputs requires strict adherence to user-defined constraints and invariants. Limitations include dependency on external libraries like OpenAI and Pillow for processing complex visual tasks.

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