imagen
Lets your agent generate images using AI. It's useful for creating visuals for interfaces, documents, and other design assets.
What it does
This tool creates images from text descriptions using Google Gemini's artificial intelligence. It's useful for generating visuals for websites, documents, or any project needing images.
When to use it
- ✓When you need an image for a website or app.
- ✓To create illustrations for documents or presentations.
- ✓To generate icons, logos, or other visual elements.
Example of what to ask your AI
“Create an image of a cat astronaut floating in space with Earth in the background.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
You describe the image you want in text. The tool sends this description to Google Gemini, which creates the image and saves it to your computer.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill imagenOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/imagen/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Imagen - AI Image Generation Skill
Overview
This skill bundles a reviewed standard-library helper for an explicitly selected supported Gemini image model; model availability and pricing must be checked before an authorized call. 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
Use within the actual host's image-tool workflow and authorized provider scope 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 --model "$GEMINI_MODEL" "A futuristic city skyline at sunset" "./generated-image.png"
# 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_KEYenvironment variable must be set- Python 3.10+ (standard library helper, no pip install needed)
- Explicit reviewed
GEMINI_MODELor--model; verify supported size/API schema - Existing authorized private output directory and a new
.pngfilename
Data, cost and output checks
Prompts are transmitted to Google and may incur provider charges; approve the service/data and cost scope first. Do not auto-install credentials, retry an uncertain billable call or overwrite files. The bundled helper refuses redirects, bounds response bytes and validates PNG MIME/signature; it is not a full image decoder or proof of visual correctness. The socket timeout is not a guaranteed total wall-clock budget. Review dimensions, content and rights after delivery, and publish only when authorized. Use the host's purpose-built image tool where its contract requires it.
Current Gemini image API; upstream provenance.
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.
FAQ
Do I need to install anything to use it?
No, this tool comes ready to use with Python, without needing extra installations.
Where is the image saved?
By default, the image is saved in the same folder you are working in, but you can choose another location.
Can I choose the image size?
Yes, you can specify the desired size for the generated image.
Details
Original description by the author
AI image generation skill powered by Google Gemini, enabling seamless visual content creation for UI placeholders, documentation, and design assets.
Popularity
- GitHub stars
- 48k
- Ranking position
- #3322
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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