Find your landing page message
Connect a product’s value to a specific audience and write a clear first-screen message.
AI image generation skill powered by Google Gemini, enabling seamless visual content creation for UI placeholders, documentation, and design assets.
--- name: imagen-ce091e830a14 description: "AI image generation skill powered by Google Gemini, enabling seamless visual content creation for UI placeholders, documentation, and design assets." risk: safe source: "https://github.com/sanjay3290/ai-skills/tree/main/skills/imagen" date_added: "2026-02-27" --- # 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.--- name: imagen-ce091e830a14 description: "AI image generation skill powered by Google Gemini, enabling seamless visual content creation for UI placeholders, documentation, and design assets." risk: safe source: "https://github.com/sanjay3290/ai-skills/tree/main/skills/imagen" date_added: "2026-02-27" --- # 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.
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.