How does it handle Retrieval-Augmented Generation (RAG)?

It automates the integration of Vertex AI Search and Vector Search tools, providing templates for document retrieval and context-aware Q&A agents.

Can I automate my deployment pipeline?

Absolutely. The skill generates CI/CD configurations for GitHub Actions and Cloud Build, including automated testing and deployment steps.

Does this skill help with multi-agent orchestration?

Yes, it provides patterns and scaffolding for hierarchical coordination, sequential workflows, and parallel agent execution using the ADK framework.

Which deployment targets does this skill support?

The skill supports automated deployment to Vertex AI Agent Engine, Google Cloud Run, Google Kubernetes Engine (GKE), and local Docker environments.

What is the Google Cloud Agent Development Kit (ADK)?

The ADK is an open-source Python framework from Google designed to build production agents in fewer than 100 lines of code, optimized for Gemini and Google Cloud deployment.

Google Cloud Agent SDK Master

Name: Google Cloud Agent SDK Master
Author: BbgnsurfTech

byBbgnsurfTech

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Cloud Infrastructure

Streamlines the development and deployment of production-grade AI agents using Google Cloud's Agent Development Kit (ADK) and Agent Starter Pack.

About

This skill provides specialized mastery of Google's Agent Development Kit (ADK) and Agent Starter Pack, enabling developers to build, orchestrate, and deploy robust AI agent systems. It automates the creation of containerized agents, multi-agent architectures, and Retrieval-Augmented Generation (RAG) implementations while ensuring production-readiness through built-in CI/CD patterns and evaluation frameworks. Whether deploying to Vertex AI Agent Engine, Cloud Run, or GKE, this skill provides the scaffolding and architectural guidance needed to move from prototype to enterprise-scale deployment within the Google Cloud ecosystem.

Key Features

Automated project scaffolding using Google's Agent Starter Pack templates
Integrated RAG implementation with Vertex AI Search and Vector Search
Production deployment automation for Cloud Run, GKE, and Vertex AI Agent Engine
3 GitHub stars
Automated CI/CD pipeline generation for GitHub Actions and Cloud Build
Comprehensive multi-agent orchestration including hierarchical and parallel patterns

Use Cases

Building and deploying enterprise-grade RAG agents for document intelligence
Developing complex multi-agent systems for automated coding or data analysis tasks
Migrating local agent prototypes to scalable, containerized Google Cloud infrastructure

About

Key Features

Automated project scaffolding using Google's Agent Starter Pack templates
Integrated RAG implementation with Vertex AI Search and Vector Search
Production deployment automation for Cloud Run, GKE, and Vertex AI Agent Engine
3 GitHub stars
Automated CI/CD pipeline generation for GitHub Actions and Cloud Build
Comprehensive multi-agent orchestration including hierarchical and parallel patterns

Use Cases

Building and deploying enterprise-grade RAG agents for document intelligence
Developing complex multi-agent systems for automated coding or data analysis tasks
Migrating local agent prototypes to scalable, containerized Google Cloud infrastructure