| name | imagen |
| description | AI image generation skill powered by Google Gemini, enabling seamless visual content creation for UI placeholders, documentation, and design assets. |
| type | skill |
| created | 2026-02-27T00:00:00.000Z |
| domain | ai-ml |
| category | llm-agents |
| risk | safe |
| source | https://github.com/sanjay3290/ai-skills/tree/main/skills/imagen |
| tags | ["skill","ai-ml","llm-agents","imagen"] |
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)
python scripts/generate_image.py "A futuristic city skyline at sunset"
python scripts/generate_image.py "A minimalist app icon for a music player" "./assets/icons/music-icon.png"
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
