Can I use this with Gemini models?

Yes, the infrastructure generated is specifically optimized for Vertex AI Agent Engine, supporting models like Gemini 2.5 Flash for agentic workflows.

Does it support enterprise security requirements?

Yes, it includes built-in support for VPC Service Controls (VPC-SC) perimeters to prevent data exfiltration and ensures all components follow least-privilege IAM principles.

What are the prerequisites for using this skill?

You need a Google Cloud project with billing enabled, Terraform 1.0+, the gcloud CLI authenticated, and the Vertex AI API enabled in your target project.

What infrastructure does this skill provision?

It provisions Vertex AI Agent Engine runtimes, secure code execution sandboxes, Memory Banks, VPC networks with Private Service Connect, VPC Service Controls, and necessary IAM roles.

ADK Infrastructure Expert

Name: ADK Infrastructure Expert
Author: BbgnsurfTech

byBbgnsurfTech

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云基础设施

Provisions and manages secure Vertex AI Agent Engine infrastructure using standardized Terraform patterns.

关于

The ADK Infrastructure Expert skill is a specialized tool for Claude Code designed to automate the deployment of Vertex AI Agent Development Kit (ADK) infrastructure on Google Cloud Platform. It streamlines the creation of Agent Engine runtimes, secure 14-day code execution sandboxes, and Memory Banks while ensuring enterprise-grade security through VPC Service Controls (VPC-SC) and least-privilege IAM configurations. This skill is ideal for DevOps engineers and AI developers who need to rapidly establish scalable, secure, and compliant multi-agent systems using production-ready Infrastructure as Code (IaC).

主要功能

Automated provisioning of Vertex AI Agent Engine runtimes
3 GitHub stars
Enterprise-grade VPC Service Controls for data exfiltration protection
Standardized Terraform HCL generation for GCP environments
Fine-grained IAM role management for agent identities
Secure isolated code execution sandbox configuration with 14-day TTL

使用场景

Deploying production-grade Vertex AI agent environments on Google Cloud
Implementing secure multi-agent architectures with network isolation
Standardizing infrastructure-as-code for AI agent development teams

关于

主要功能

Automated provisioning of Vertex AI Agent Engine runtimes
3 GitHub stars
Enterprise-grade VPC Service Controls for data exfiltration protection
Standardized Terraform HCL generation for GCP environments
Fine-grained IAM role management for agent identities
Secure isolated code execution sandbox configuration with 14-day TTL

使用场景

Deploying production-grade Vertex AI agent environments on Google Cloud
Implementing secure multi-agent architectures with network isolation
Standardizing infrastructure-as-code for AI agent development teams