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

The ADK is an open-source Python framework from Google designed to build production-grade agents in very few lines of code, optimized for Gemini and Google Cloud environments.

Does it support Retrieval-Augmented Generation (RAG)?

Absolutely. It features built-in implementations for Vertex AI Search and Vector Search integration to create robust RAG-enabled agent systems.

Can I use this skill to build multi-agent systems?

Yes, it includes specific patterns for both hierarchical coordination and parallel execution of specialized sub-agents using ADK and third-party frameworks like CrewAI.

How does this skill assist with agent deployment?

It provides automated configurations and commands for deploying agents to Vertex AI Agent Engine, Cloud Run, and Google Kubernetes Engine (GKE), including infrastructure-as-code templates.

Google Cloud Agent SDK Master

Name: Google Cloud Agent SDK Master
Author: jeremylongshore

byjeremylongshore

•

883

Despliegue y DevOps

Automates the development, deployment, and orchestration of production-ready AI agents using the Google Cloud Agent Development Kit.

Acerca de

Google Cloud Agent SDK Master is a comprehensive toolkit designed to streamline the creation of advanced AI agent systems on Google Cloud Platform. It provides specialized guidance for using the Agent Development Kit (ADK) and Agent Starter Pack to build everything from simple ReAct agents to complex multi-agent orchestrations. By automating project scaffolding, CI/CD pipeline setup, and deployment to Vertex AI Agent Engine, Cloud Run, or GKE, this skill enables developers to rapidly transition from local prototypes to scalable production environments equipped with enterprise-grade monitoring and evaluation capabilities.

Características Principales

Automated CI/CD pipelines for GitHub Actions and Cloud Build
Rapid scaffolding with Agent Starter Pack templates
Multi-agent system design and hierarchical orchestration
Production-grade RAG implementation with Vector Search
Comprehensive deployment support for Cloud Run, GKE, and Agent Engine
883 GitHub stars

Casos de Uso

Automating the evaluation and monitoring of agents in production environments
Building and deploying containerized RAG agents for enterprise search
Orchestrating multi-agent coding crews using CrewAI or LangGraph

Acerca de

Características Principales

Automated CI/CD pipelines for GitHub Actions and Cloud Build
Rapid scaffolding with Agent Starter Pack templates
Multi-agent system design and hierarchical orchestration
Production-grade RAG implementation with Vector Search
Comprehensive deployment support for Cloud Run, GKE, and Agent Engine
883 GitHub stars

Casos de Uso

Automating the evaluation and monitoring of agents in production environments
Building and deploying containerized RAG agents for enterprise search
Orchestrating multi-agent coding crews using CrewAI or LangGraph