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

ADK is an open-source Python framework from Google for building production-grade agents in minimal code, supporting Gemini models and various GCP deployment targets.

Which deployment targets are supported by this skill?

It supports Vertex AI Agent Engine, Google Cloud Run, Google Kubernetes Engine (GKE), and local Docker environments.

Does it include CI/CD automation?

Yes, the skill can generate configuration files for GitHub Actions and Google Cloud Build to automate agent testing and deployment.

Can this skill help with RAG (Retrieval-Augmented Generation)?

Yes, it provides specific templates and tools for integrating Vertex AI Search and Vector Search into agentic RAG workflows.

Is multi-agent orchestration supported?

Absolutely. It includes patterns for hierarchical, sequential, and parallel multi-agent coordination using ADK and Agent Starter Pack.

Google Cloud Agent SDK Master

Name: Google Cloud Agent SDK Master
Author: jeremylongshore

byjeremylongshore

•

883

Cloud Infrastructure

Automates the creation, deployment, and orchestration of production-grade AI agents using Google Cloud's ADK and Agent Starter Pack.

About

This skill empowers developers to build, scaffold, and deploy sophisticated multi-agent systems and RAG implementations within the Google Cloud ecosystem. It leverages the official Agent Development Kit (ADK) and Agent Starter Pack to provide standardized templates, containerized deployment workflows for Cloud Run, GKE, and Vertex AI Agent Engine, and production-ready CI/CD pipelines. By automating complex setup tasks and providing best-practice patterns, it ensures that AI agents are scalable, observable, and ready for enterprise-level production environments.

Key Features

Flexible orchestration for sequential, parallel, and hierarchical agent workflows
883 GitHub stars
Scaffolding for multi-agent systems and RAG agents using ADK templates
Standardized CI/CD pipeline generation for GitHub Actions and Cloud Build
Automated deployment to Cloud Run, GKE, and Vertex AI Agent Engine
Built-in evaluation frameworks and Cloud Trace integration for observability

Use Cases

Building a multi-agent system for complex research and content generation tasks
Implementing enterprise-grade observability and monitoring for agents using Cloud Trace
Deploying a serverless RAG agent to Cloud Run with automated CI/CD pipelines

About

Key Features

Flexible orchestration for sequential, parallel, and hierarchical agent workflows
883 GitHub stars
Scaffolding for multi-agent systems and RAG agents using ADK templates
Standardized CI/CD pipeline generation for GitHub Actions and Cloud Build
Automated deployment to Cloud Run, GKE, and Vertex AI Agent Engine
Built-in evaluation frameworks and Cloud Trace integration for observability

Use Cases

Building a multi-agent system for complex research and content generation tasks
Implementing enterprise-grade observability and monitoring for agents using Cloud Trace
Deploying a serverless RAG agent to Cloud Run with automated CI/CD pipelines