Individual skill
vertex-ai-media-master
Execute automatic activation for all google vertex ai multimodal operations operations. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
skills/.curated/vertex-ai-media-master/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Last checked
- Nov 12, 2026
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- 2,917
- Repository last updated
- Nov 12, 2026
- License
- MIT
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- productivity Declared skill tag
- vertex-ai Declared skill tag
- productivity Derived category
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SKILL.mdcore · 5,624 bytesSKILL.mdcore · 5,624 bytesassets/README.mddoc · 526 bytesreferences/README.mddoc · 581 bytesreferences/core-capabilities.mddoc · 7,522 bytesreferences/errors.mddoc · 391 bytesreferences/examples.mddoc · 11,397 bytesscripts/README.mddoc · 623 bytes
Read excerpt
# Vertex AI Media Master
## Overview
Multimodal media operations on Google Cloud Vertex AI covering video understanding, audio generation, image creation, and marketing campaign automation. This skill orchestrates Gemini 2.5 Pro/Flash, Imagen 4, and Lyria models to process, analyze, and generate rich media assets.
## Prerequisites
- Google Cloud project with Vertex AI API enabled
- `google-cloud-aiplatform` Python SDK installed (`pip install google-cloud-aiplatform[vision,audio]`)
- `GOOGLE_CLOUD_PROJECT` and `GOOGLE_APPLICATION_CREDENTIALS` environment variables set
- Service account with `roles/aiplatform.user` permission
- Sufficient quota for target models (Gemini 2.5 Pro: 2M tokens/min; Imagen 4: 100 images/min)
## Instructions