imagegen

Generate or edit raster images using the built-in image_gen tool.

Updated Sep 6, 2025

Search Tags:#ai #image-generation #generate #image-editing #ui-mockup #asset-creation #bitmap

Ready to run

npx skills add https://github.com/yyoonchul/agent-rules --skill imagegen-yyoonchul

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: imagegen
Source: https://github.com/yyoonchul/agent-rules/tree/main/agent-skills/skills/.system/imagegen
Command: npx skills add https://github.com/yyoonchul/agent-rules --skill imagegen-yyoonchul

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Generates or edits raster images for projects using AI-powered tools, removing the tedium of manual bitmap creation and enabling rapid visuals that fit your product or game.

Core Features & Use Cases

Built-in image_gen tool by default for generation and editing; optional CLI fallback via scripts/image_gen.py; guidance in references for prompting and workflows.
Clear save-path policies and support for multiple outputs and variants; use-case examples include website assets, game assets, UI mockups, and marketing visuals.
References and prompts guidance are provided in references/prompting.md and references/sample-prompts.md to shape prompts and ensure quality.

Quick Start

Invoke the built-in image_gen tool to generate or edit a bitmap image for your project.

Frequently Asked Questions about imagegen

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

FAQPage Schema

How do I generate bitmap images for UI mockups using AI?▼

AI image generation creates raster graphics from text prompts, providing rapid visuals for UI mockups. This tool uses a built-in image generation function to produce brand-new bitmaps, leveraging OpenAI and Pillow to render project-specific website or product assets.

Can I edit existing raster images and create variants for game assets?▼

Editing existing raster images and deriving variants for game assets is supported by transforming original bitmaps through AI-driven tools. The system processes reference images to generate modified outputs, applying safe defaults and validation to maintain asset quality.

What is the best way to structure prompts for AI image generation?▼

Structuring prompts for AI image generation requires referencing guidance files like prompting.md and sample-prompts.md. These references provide workflows and examples to shape text inputs, ensuring the generated bitmap images meet the visual requirements for marketing or product visuals.

Does this AI image editing tool offer a command line interface fallback?▼

A command line interface fallback is available via scripts/image_gen.py when explicitly requested. This CLI alternative supplements the default built-in image generation tool, offering a script-based method to generate or edit raster images for projects.

How are generated bitmap assets saved and managed for websites?▼

Generated bitmap assets are saved using clear save-path policies that support multiple outputs and variants. This organization ensures that derived images for websites, games, or marketing visuals are systematically stored and easily accessible for project integration.