Can this skill handle long video files?

Yes, it leverages Gemini 2.5 Pro to process and analyze video content up to 6 hours at low resolution or 2 hours at default resolution.

What is the Vertex AI Media Master skill for Claude Code?

It is a specialized skill that integrates Google Vertex AI's multimodal capabilities into Claude Code, allowing for automated video, audio, and image processing.

Which image generation models are supported?

The skill supports Imagen 4 for high-quality text-to-image generation and Gemini 2.5 Flash for interleaved image and text creation.

What are the core technical requirements?

Users need a Google Cloud project with Vertex AI APIs enabled and the google-cloud-aiplatform SDK installed in their environment.

How does this benefit marketing teams?

It automates the production of campaign assets, generates personalized ad variants, and repurposes long-form video into social-ready clips automatically.

Vertex AI Media Master

Name: Vertex AI Media Master
Author: BbgnsurfTech

byBbgnsurfTech

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Marketing Automation

Automates high-fidelity multimodal operations including video processing, audio generation, and image creation via Google Vertex AI.

About

Vertex AI Media Master is a specialized Claude Code skill designed to streamline complex multimodal workflows using Google’s advanced AI models like Gemini 2.5, Imagen 4, and Lyria. It enables developers and marketers to process hours of video content, generate production-grade images and audio, and automate entire marketing campaign asset pipelines directly within their coding environment. This skill is particularly useful for teams needing to repurpose long-form content, generate personalized ad variations at scale, and integrate Google Cloud's generative media capabilities into their existing software development lifecycle.

Key Features

Automated marketing campaign asset creation and localization
3 GitHub stars
End-to-end video understanding and analysis for content up to 6 hours
Native audio and music generation using the Google Lyria model
Production-quality image generation with Imagen 4 and Gemini 2.5 Flash
Advanced video repurposing tools for short-form social media highlights

Use Cases

Repurposing long-form webinar or presentation videos into short-form social media content
Generating high-quality audio voiceovers and background music for video production pipelines
Automating the creation of personalized ad variations for multi-channel marketing campaigns

About

Key Features

Automated marketing campaign asset creation and localization
3 GitHub stars
End-to-end video understanding and analysis for content up to 6 hours
Native audio and music generation using the Google Lyria model
Production-quality image generation with Imagen 4 and Gemini 2.5 Flash
Advanced video repurposing tools for short-form social media highlights

Use Cases

Repurposing long-form webinar or presentation videos into short-form social media content
Generating high-quality audio voiceovers and background music for video production pipelines
Automating the creation of personalized ad variations for multi-channel marketing campaigns