What image formats are supported?

The skill currently generates and saves images in PNG format, which is ideal for web development and design assets.

Do I need to install additional Python packages?

No, the skill is designed to use the Python standard library only, ensuring it runs out-of-the-box without needing pip installs.

Does this skill require a separate API key?

Yes, you must set the GEMINI_API_KEY environment variable to use the image generation capabilities through Google's API.

Where are the generated images saved?

By default, images are saved to your current working directory, but you can provide a custom file path to organize assets into specific folders.

Can I specify the image size?

Yes, the skill supports custom size parameters, such as 2K or specific pixel dimensions, to match your project's requirements.

Imagen AI Image Generator

Name: Imagen AI Image Generator
Author: sanjay3290

bysanjay3290

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Design Tools

Generates high-quality images, icons, and diagrams directly within Claude Code using Google Gemini's advanced vision models.

About

The Imagen skill integrates Google Gemini's image generation capabilities into the Claude Code environment, allowing developers to create visual assets without leaving their terminal. Whether you need placeholder images for frontend components, architectural diagrams for documentation, or custom UI icons, this skill automates the prompt-to-file workflow. It handles API communication and saves results directly to your project directory, making it an essential tool for developers and designers seeking to streamline visual content creation during the development lifecycle.

Key Features

Text-to-image generation using Google Gemini API
Direct-to-disk saving as standard PNG files
Customizable output paths and image resolutions
Cross-platform support for Windows, macOS, and Linux
Lightweight Python implementation with no external dependencies
37 GitHub stars

Use Cases

Creating UI mockups and placeholder assets for frontend development
Generating architectural diagrams and illustrations for README documentation
Designing custom app icons and logos during the prototyping phase

About

Key Features

Text-to-image generation using Google Gemini API
Direct-to-disk saving as standard PNG files
Customizable output paths and image resolutions
Cross-platform support for Windows, macOS, and Linux
Lightweight Python implementation with no external dependencies
37 GitHub stars

Use Cases

Creating UI mockups and placeholder assets for frontend development
Generating architectural diagrams and illustrations for README documentation
Designing custom app icons and logos during the prototyping phase