A Google Cloud blueprint for AI data analysis.
What it does
Develops a Google Cloud architecture, deployment plan, and validation approach for agent-based data science workloads.
When to use it
Use when designing multi-product architectures for agent-based analytics or machine learning, not simple queries, non-agentic pipelines, general cloud reviews, or agent coding.
How to use it
Give it a cloud workload and answer its questions; it produces an architecture guide and iterates on your feedback before proceeding.
Uses
Good to know
- acts without asking
What you need · 2
Requires Agents CLI for application scaffolding and deployment to Cloud Run.
Deployment requires Google Cloud access with a project, billing association, required APIs, and IAM permissions.
Access · 5
This skill
Google Cloud
Tags cloud requests for attribution
Google Cloud documentation
Reads Google Cloud architecture guidance