imagen
AI image generation skill powered by Google Gemini, enabling seamless visual content creation for UI placeholders, documentation, and design assets.
Best use case
imagen is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
AI image generation skill powered by Google Gemini, enabling seamless visual content creation for UI placeholders, documentation, and design assets.
Teams using imagen should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/imagen/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How imagen Compares
| Feature / Agent | imagen | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
AI image generation skill powered by Google Gemini, enabling seamless visual content creation for UI placeholders, documentation, and design assets.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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 ### Python (Cross-Platform - Recommended) ```bash # 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 ``` ## Limitations - Use this skill only when the task clearly matches the scope described above. - Do not treat the output as a substitute for environment-specific validation, testing, or expert review. - Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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