imagen
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pinned to #3619692updated 3 months ago
Ask your AI client: “install skills/imagen”.
Requires the metahub MCP server installed in your client. Set up MCP.
mh install skills/imagenmetahub onboarded this repo on the author's behalf.
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Automated checks the publisher passed at publish time — structure, docs, safety, and whether the artifact behaves as claimed.3619692· 3 months ago
Behavioral checks ran but aren't published for this artifact; the static checks above ran at publish time.
Documentation
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A skill's manifest description doubles as its trigger — add one to SKILL.md (15+ words, e.g. “use this skill when …”).
README is present and substantial
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Tags / topics declared
20 total — agent-skills, ai-skills, atlassian, azure-devops, claude-code, claude-skills (+14)
README has usage / example sections
found: Installation · Usage
Homepage / docs URL declared
https://deepwiki.com/sanjay3290/ai-skills
Release history
1- releasecurrent3619692warn3 months ago
Contents
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_KEYenvironment 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
Reviews
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Related
Verification Before Completion
Evidence before assertions, always
Writing Plans
Turn specs into phased implementation plans
Test-Driven Development
Red → green → refactor discipline for any feature or bugfix
mh install skills/imagen