How do I trigger this skill within Claude Code?

The skill activates automatically when you use phrases like 'adk', 'agent development kit', 'multi-agent', 'cloud run agent', or 'rag agent'.

Does it support multi-agent orchestration?

Absolutely. It covers hierarchical coordination, sequential execution, and parallel processing for complex multi-agent architectures using the ADK framework.

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

The ADK is an open-source Python framework from Google used to build production-grade AI agents. It is model-agnostic, optimized for Gemini, and supports deployment to Cloud Run, GKE, and Agent Engine.

What deployment options does this skill support?

It supports a variety of targets including Vertex AI Agent Engine, Cloud Run, Google Kubernetes Engine (GKE), and local Docker environments for development.

Can this skill help me build RAG-enabled agents?

Yes, it provides implementation patterns and code snippets for integrating Vertex AI Search and Vector Search tools into your agents for Retrieval-Augmented Generation.

Google Cloud Agent SDK Master

Name: Google Cloud Agent SDK Master
Author: jeremylongshore

byjeremylongshore

•

884

クラウドインフラストラクチャ

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

概要

This skill empowers Claude to architect, scaffold, and deploy sophisticated multi-agent systems using Google's official Agent Development Kit (ADK) and Starter Pack. It provides domain-specific expertise for building RAG-enabled agents, managing containerized deployments on Cloud Run or GKE, and setting up robust CI/CD pipelines. Ideal for developers looking to move from local AI experiments to scalable, production-ready agentic workflows within the Google Cloud ecosystem, the skill covers everything from simple ReAct patterns to complex hierarchical orchestration and enterprise-grade monitoring.

主な機能

Advanced RAG implementation with Vertex AI Search and Vector Search tools
884 GitHub stars
Built-in evaluation frameworks and Cloud Trace integration for observability
Multi-agent orchestration patterns including hierarchical and parallel workflows
Production-ready deployment for Cloud Run, GKE, and Vertex AI Agent Engine
Automated agent scaffolding and project creation via Agent Starter Pack

ユースケース

Architecting complex hierarchical agent systems for multi-step workflow automation
Building a containerized RAG agent for secure enterprise document retrieval
Deploying a multi-agent coding crew to Cloud Run with automated GitHub Actions

概要

主な機能

Advanced RAG implementation with Vertex AI Search and Vector Search tools
884 GitHub stars
Built-in evaluation frameworks and Cloud Trace integration for observability
Multi-agent orchestration patterns including hierarchical and parallel workflows
Production-ready deployment for Cloud Run, GKE, and Vertex AI Agent Engine
Automated agent scaffolding and project creation via Agent Starter Pack

ユースケース

Architecting complex hierarchical agent systems for multi-step workflow automation
Building a containerized RAG agent for secure enterprise document retrieval
Deploying a multi-agent coding crew to Cloud Run with automated GitHub Actions