Auto-Pilot
Updated a month ago

imagen

Ssanjay3290
0.0k
sanjay3290/ai-skills/skills/imagen
74
Agent Score

💡 Summary

A skill that generates images by calling the Google Gemini image generation API based on a text prompt.

🎯 Target Audience

Frontend Developers needing UI assetsTechnical Writers creating documentationProduct Managers visualizing conceptsDesigners seeking quick mockups

🤖 AI Roast:It's a thin wrapper around an API call, offering the bare minimum to turn a prompt into a PNG.

Security AnalysisLow Risk

Risk: Exposes API key via environment variable, which could be leaked in logs or child processes. The script executes external network calls; a compromised API key or endpoint could lead to unauthorized image generation or cost abuse. Mitigation: Implement a secrets management system and validate/limit prompts server-side if possible.


name: imagen description: | Generate images using Google Gemini's image generation capabilities. Use this skill when the user needs to create, generate, or produce images for any purpose including UI mockups, icons, illustrations, diagrams, concept art, placeholder images, or visual representations.

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)

# 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
5-Dim Analysis
Clarity8/10
Novelty5/10
Utility9/10
Completeness7/10
Maintainability8/10
Pros & Cons

Pros

  • Simple, single-purpose functionality.
  • Uses a powerful, state-of-the-art model (Gemini).
  • No external Python dependencies required.

Cons

  • Completely dependent on a single external API and its costs/availability.
  • Lacks advanced features like image editing or style control.
  • README implies automatic activation which may be overly presumptive for an agent.

Related Skills

pytorch

S
toolCode Lib
92/ 100

“It's the Swiss Army knife of deep learning, but good luck figuring out which of the 47 installation methods is the one that won't break your system.”

agno

S
toolCode Lib
90/ 100

“It promises to be the Kubernetes for agents, but let's see if developers have the patience to learn yet another orchestration layer.”

nuxt-skills

S
toolCo-Pilot
90/ 100

“It's essentially a well-organized cheat sheet that turns your AI assistant into a Nuxt framework parrot.”

Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.

Copyright belongs to the original author sanjay3290.