Skill

imagen

AI image generation skill powered by Google Gemini, enabling seamless visual content creation for UI placeholders, documentation, and design assets.

npx claudepluginhub mit-network/antigravity-awesome-skills

Tool Access

This skill uses the workspace's default tool permissions.

Preview

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.

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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

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

Usage

Python (Cross-Platform - Recommended)

# 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