imagegen

Generate and edit raster images using AI prompts.

Updated Apr 11, 2026
One-click install
npx skills add https://github.com/jetteim/platform-workstation-bootstrap --skill imagegen-jetteim
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: imagegen
Source: https://github.com/jetteim/platform-workstation-bootstrap/tree/main/agents/skills/codex-curated/.system/imagegen
Command: npx skills add https://github.com/jetteim/platform-workstation-bootstrap --skill imagegen-jetteim

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Generate and edit raster images for projects using AI prompts, reducing manual time spent on visual asset production.

Core Features & Use Cases

  • Built-in image_gen tool by default for normal image generation and editing tasks.
  • Fallback explicit CLI path (scripts/image_gen.py) for advanced use, batch processing, or when the built-in tool is unavailable.
  • Prompt augmentation and workspace-handling guidance; references for prompting best practices are provided in the references directory.

Quick Start

Run the built-in image_gen tool by default for image generation and editing tasks.

Frequently Asked Questions about imagegen

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

FAQPage Schema
How do I generate raster images using AI prompts?

You generate raster images by running the built-in image_gen tool, which executes AI prompts offline where possible and loads the visual assets directly into your workspace.

Can I batch process AI image generation and editing tasks?

Yes, you can batch process AI image generation by using the explicit CLI fallback path at scripts/image_gen.py, which supports advanced workflows and automated prompt-driven asset production.

Do I need network and API access for AI image editing?

You need network and API access only when using the explicit CLI fallback for advanced or batch workflows; the default built-in image_gen tool runs offline where possible.

What's the best way to improve prompt engineering for AI art generation?

The best way to improve prompt engineering is to consult the prompting best practices provided in the references directory, which guides prompt augmentation for generating raster visual assets.

Does this AI image generation approach work with existing input images for editing?

Yes, the explicit CLI fallback supports input images alongside prompts and output handling, enabling you to edit existing raster assets rather than solely generating new ones.