Imagen - AI Image Generation Skill

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

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AGI Framework Integration

Adapted for @techwavedev/​agi-agent-kit Original source: antigravity-awesome-skills

Memory-First Protocol

Retrieve prior agent configurations, team compositions, and orchestration patterns. Critical for multi-agent system consistency.

# Check for prior AI agent orchestration context before starting
python3 execution/​memory_manager.py auto --query "agent patterns and orchestration strategies for Imagen"

Storing Results

After completing work, store AI agent orchestration decisions for future sessions:

python3 execution/​memory_manager.py store \
  --content "Agent pattern: hierarchical orchestration with Control Tower dispatcher, 3 specialist sub-agents" \
  --type decision --project <project> \
  --tags imagen ai-agents

Multi-Agent Collaboration

This skill is inherently multi-agent. Use cross-agent context to coordinate task distribution and avoid duplicate work.

python3 execution/​cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Agent architecture designed — Control Tower + specialist agents with shared Qdrant memory" \
  --project <project>

Control Tower Integration

Register agents and tasks with the Control Tower (execution/​control_tower.py) for centralized orchestration across machines and LLM providers.

Blockchain Identity

Each agent has a cryptographic Ed25519 identity. All memory writes are signed — enabling trust verification in multi-agent systems.

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