imagen

sanjay3290's avatarfrom sanjay3290

Generate images using Google Gemini's image generation capabilities.Use this skill when the user needs to create, generate, or produce imagesfor any purpose including UI mockups, icons, illustrations, diagrams,concept art, placeholder images, or visual representations.

⭐1stars🔀0forks📁View on GitHub🕐Updated Dec 23, 2025

When & Why to Use This Skill

The Imagen skill integrates Google Gemini's powerful image generation capabilities directly into the Claude Code environment. It enables developers and designers to instantly generate high-quality visual assets—such as UI mockups, technical diagrams, icons, and illustrations—using simple text prompts. By automating the creation of visual content within the development workflow, it eliminates the need to switch between tools, accelerating frontend prototyping and documentation processes.

Use Cases

  • Frontend Development: Generate placeholder images, hero assets, or background textures for web and mobile UI components during the coding phase.
  • Technical Documentation: Create architectural diagrams, flowcharts, or conceptual illustrations to make README files and project docs more engaging and clear.
  • UI/UX Design: Produce custom icons, logos, and interface mockups to quickly visualize design ideas and iterate on user experience concepts.
  • Marketing & Prototyping: Generate high-fidelity visual representations for landing pages, ads, or pitch decks directly from the terminal.
nameimagen
description|

Imagen - AI Image Generation Skill

Overview

This skill generates images using Google Gemini's image generation model (gemini-3-pro-image-preview). It enables seamless image creation during any Claude Code session - whether you're building frontend UIs, creating documentation, or need visual representations of concepts.

Cross-Platform: Works on Windows, macOS, and Linux.

When to Use This Skill

Automatically activate this skill when:

  • User requests image generation (e.g., "generate an image of...", "create a picture...")
  • Frontend development requires placeholder or actual images
  • Documentation needs illustrations or diagrams
  • Visualizing concepts, architectures, or ideas
  • Creating icons, logos, or UI assets
  • Any task where an AI-generated image would be helpful

How It Works

  1. Takes a text prompt describing the desired image
  2. Calls Google Gemini API with image generation configuration
  3. Saves the generated image to a specified location (defaults to current directory)
  4. Returns the file path for use in your project

Usage

# Basic usage
python scripts/generate_image.py "A futuristic city skyline at sunset"

# With custom output path
python scripts/generate_image.py "A minimalist app icon for a music player" "./assets/icons/music-icon.png"

# With custom size
python scripts/generate_image.py --size 2K "High resolution landscape" "./wallpaper.png"

Requirements

  • GEMINI_API_KEY environment variable must be set
  • Python 3.6+ (uses standard library only, no pip install needed)

Output

Generated images are saved as PNG files. The script returns:

  • Success: Path to the generated image
  • Failure: Error message with details

Examples

Frontend Development

User: "I need a hero image for my landing page - something abstract and tech-focused"
-> Generates and saves image, provides path for use in HTML/CSS

Documentation

User: "Create a diagram showing microservices architecture"
-> Generates visual representation, ready for README or docs

UI Assets

User: "Generate a placeholder avatar image for the user profile component"
-> Creates image in appropriate size for component use