Vertex AI Media Master
Automatic activation for ALL Google Vertex AI multimodal operations - video processing, audio generation, image creation, and marketing campaigns. **TRIGGER PHRASES:** - "vertex ai", "gemini multimodal", "process video", "generate audio", "create images", "marketing campaign" - "imagen", "video understanding", "multimodal", "content generation", "media assets" **AUTO-INVOKES FOR:** - Video processing and understanding (up to 6 hours) - Audio generation and transcription - Image generation with Imagen 4 - Marketing campaign automation - Social media content creation - Ad creative generation - M
npx skills add majiayu000/claude-skill-registry --skill vertex-media-master-intent-solutions-io-plugins-nixtla-6bdf5a74 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Vertex AI Media Master - Comprehensive Multimodal AI Operations This Agent Skill provides comprehensive mastery of Google Vertex AI multimodal capabilities for video, audio, image, and text processing with focus on marketing applications. ## Core Capabilities ### 🎥 Video Processing (Gemini 2.0/2.5) - **Video Understanding**: Process videos up to 6 hours at low resolution or 2 hours at default resolution - **2M Context Window**: Gemini 2.5 Pro handles massive video content - **Audio Track Processing**: Automatic audio transcription from video - **Multi-video Analysis**: Process multiple videos in single request - **Video Summarization**: Extract key moments, scenes, and insights - **Marketing Use Cases**: - Analyze competitor video ads - Extract highlights from long-form content - Generate video summaries for social media - Transcribe and caption video content - Identify brand mentions and product placements ### 🎵 Audio Generation & Processing - **Lyria Model (2025)**: Native audio and music generation - **Speech-to-Text**: Transcribe audio with speaker diarization - **Text-to-Speech**: Generate natural voiceovers - **Music Composition**: Background music for campaigns - **Audio
- Core Capabilities
- 🎥 Video Processing (Gemini 2.0/2.5)
- 🎵 Audio Generation & Processing
- 🖼️ Image Generation (Imagen 4 & Gemini 2.5 Flash Image)
- 📢 Marketing Campaign Automation
- 🔧 Technical Implementation
- 📊 Marketing Workflow Automation
- 🎯 Best Practices for Jeremy
- 🚀 Advanced Marketing Use Cases
- 📚 Reference Documentation
- When This Skill Activates
- Integration with Other Tools
- Success Metrics
Set environment variables export GOOGLE_CLOUD_PROJECT="your-project-id" export GOOGLE_APPLICATION_CREDENTIALS="path/to/service-account.json" Install SDK pip install google-cloud-aiplatform[vision,audio] google-generativeai
What does the Vertex AI Media Master skill do?
Automatic activation for ALL Google Vertex AI multimodal operations - video processing, audio generation, image creation, and marketing campaigns. **TRIGGER PHRASES:** - "vertex ai", "gemini multimodal", "process video", "generate audio", "create images", "marketing campaign" - "imagen", "video understanding", "multimodal", "content generation", "media assets" **AUTO-INVOKES FOR:** - Video processing and understanding (up to 6 hours) - Audio generation and transcription - Image generation with Imagen 4 - Marketing campaign automation - Social media content creation - Ad creative generation - M
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill vertex-media-master-intent-solutions-io-plugins-nixtla-6bdf5a74 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.