Vertex AI Media Master - Jeremy's Multimodal AI Powerhouse

Comprehensive Google Vertex AI multimodal mastery for video processing, audio generation, image creation, and marketing automation.

🎯 Purpose

This plugin makes Claude Code an expert in Google Vertex AI's multimodal capabilities, with automatic activation for video, audio, image, and text processing workflows focused on marketing applications.

✨ Key Features

🎥 Video Processing (Gemini 2.0/2.5)

• Process videos up to 6 hours at low resolution
• 2M context window for massive content
• Multi-video analysis in single requests
• Audio track transcription and analysis
• Marketing insights extraction

🎵 Audio Generation (Lyria Model)

• Background music composition
• Voiceover generation
• Speech-to-text transcription
• Audio ads and radio spots
• Multilingual voiceovers

🖼️ Image Generation (Imagen 4)

• Highest quality text-to-image
• Interleaved image generation with Gemini 2.5 Flash Image
• Personalized ad images (Adios approach)
• Product visualization
• Campaign asset generation

📢 Marketing Automation

• ViGenAiR: Convert long videos to short formats automatically
• Adios: Generate personalized ad images
• Multi-channel campaign creation
• Content pipeline automation
• Product catalog enrichment

🚀 Installation

# Install the plugin
/plugin install 003-jeremy-vertex-ai-media-master@claude-code-plugins-plus

📋 Components

Agent Skills (1)

• vertex-media-master - Auto-activates for all Vertex AI multimodal operations

Slash Commands (1)

• /vertex-campaign - Generate complete multimodal marketing campaigns

💡 Usage Examples

Generate Marketing Campaign

/vertex-campaign

Product: Premium wireless earbuds
Audience: Fitness enthusiasts, 25-40
Goal: Product launch
Budget: $30K

Generates:

• 15+ product images
• Video scripts (multiple lengths)
• Background music
• Email sequences
• Social media content
• Blog posts
• Ad copy

Process Long-Form Video

"Analyze this 4-hour webinar video and extract key highlights for social media clips"

Auto-activates skill and:

• Processes full video (up to 6 hours)
• Extracts key moments
• Generates short-form clips
• Creates captions
• Suggests distribution strategy

Generate Personalized Ads

"Create 50 variations of this product ad, personalized for different audience segments"

Auto-generates:

• Demographic-specific imagery
• Localized copy
• Platform-optimized formats
• A/B test variations

🔧 Technical Implementation

Prerequisites

# Google Cloud setup
gcloud auth application-default login
export GOOGLE_CLOUD_PROJECT="your-project-id"

# Install SDK
pip install google-cloud-aiplatform[vision,audio] google-generativeai

API Integration

from google.cloud import aiplatform
from vertexai.preview.generative_models import GenerativeModel

# Initialize
aiplatform.init(project="your-project", location="us-central1")

# Gemini 2.5 Pro for video
model = GenerativeModel("gemini-2.5-pro")
response = model.generate_content([
    "Analyze this video for marketing insights",
    video_file  # Up to 6 hours
])

🎯 Marketing Use Cases

1. Campaign Asset Production

• Generate all assets from single brief
• Consistent brand messaging
• Multi-channel distribution
• Cost: ~$5-7 per campaign

2. Video Repurposing

• Long-form to short-form conversion
• Platform-specific formatting
• Automatic captioning
• Highlight extraction

3. Personalized Content at Scale

• Audience-specific variations
• Localized campaigns
• Dynamic product placement
• Real-time adaptation

4. Content Automation Pipeline

• Scheduled asset generation
• Approval workflows
• Multi-language support
• Performance tracking

💰 Cost Optimization

Pricing:

• Gemini 2.5 Pro: $3.50/1M input tokens
• Imagen 4: $0.04/image
• Lyria audio: Variable by duration

Best Practices:

• Use Gemini Flash for faster ops
• Batch image requests
• Cache video embeddings
• Monitor quota usage

📊 Success Metrics

Track:

• Asset generation speed (target: 5 images/min)
• Content approval rate (target: >80%)
• Personalization scale (target: 1000+ variants)
• Cost per asset (target: <$0.10/image)
• Time savings (target: 90% vs manual)

🔗 Integration Points

Google Cloud Services:

• Cloud Storage (asset management)
• BigQuery (analytics)
• Cloud Functions (automation)
• Vertex AI Pipelines (workflows)

Marketing Platforms:

• Google Ads (PMax)
• Meta Business Suite
• LinkedIn Campaign Manager
• HubSpot/Marketo
• WordPress/Contentful

📚 Documentation

Official Resources:

• Vertex AI Multimodal
• Gemini Models
• Imagen 4
• GenAI for Marketing

🎓 Training Resources

Learn:

• Video understanding with Gemini
• Image generation best practices
• Audio production workflows
• Marketing automation patterns
• Cost optimization techniques

🔒 Security & Compliance

• Store API keys in Secret Manager
• Use service accounts with minimal permissions
• Enable VPC Service Controls
• Log all API calls
• Comply with data residency requirements

🎯 When This Activates

Trigger phrases:

• "vertex ai", "gemini multimodal"
• "process video", "analyze video"
• "generate audio", "create images"
• "marketing campaign", "content generation"
• "imagen", "video understanding"

📈 Roadmap

Planned features:

• Gemini 2.5 Flash Thinking integration
• Real-time streaming capabilities
• Advanced A/B testing automation
• Predictive campaign optimization
• Multi-agent marketing orchestration

Part of Claude Code Plugins - 234 production-ready plugins

Author: Jeremy Longshore | License: MIT | Version: 1.0.0