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

It is an open-source Python framework from Google for building model-agnostic, production-grade AI agents with minimal code, optimized for Gemini.

Does it support RAG (Retrieval-Augmented Generation)?

Absolutely, it includes templates for integrating Vertex AI Search and Vector Search to create grounded, document-aware AI agents.

Which Google Cloud services can I deploy to?

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

Can I build multi-agent systems with this skill?

Yes, it provides implementation patterns for sequential, parallel, and hierarchical multi-agent coordination and orchestration.

How does it handle CI/CD for agents?

The skill automatically generates configuration files for GitHub Actions and Cloud Build to facilitate automated testing and deployment pipelines.

Google Cloud Agent SDK Master

Name: Google Cloud Agent SDK Master
Author: intent-solutions-io

byintent-solutions-io

云基础设施

Builds and deploys production-grade AI agents and multi-agent systems using Google Cloud's Agent Development Kit (ADK).

关于

This skill empowers Claude to architect, implement, and deploy sophisticated AI agents using the Google Cloud Agent Development Kit (ADK) and Agent Starter Pack. It provides expert guidance on creating everything from simple ReAct agents to complex multi-agent orchestrations, while automating the setup of RAG (Retrieval-Augmented Generation) pipelines, CI/CD workflows, and containerized deployments to platforms like Cloud Run, GKE, and Vertex AI Agent Engine. It is ideal for developers looking to move from local AI prototypes to scalable, monitored, and secure production environments on GCP.

主要功能

Automated scaffolding for ADK-based agent projects
Integrated CI/CD pipeline generation via GitHub Actions
Built-in evaluation and monitoring for agent performance
0 GitHub stars
Production-ready templates for RAG and multi-agent systems
Seamless deployment orchestration for Cloud Run and GKE

使用场景

Implementing automated evaluation metrics for production AI agents
Designing a multi-agent system for complex task orchestration
Deploying a containerized RAG agent to Vertex AI Agent Engine

关于

主要功能

Automated scaffolding for ADK-based agent projects
Integrated CI/CD pipeline generation via GitHub Actions
Built-in evaluation and monitoring for agent performance
0 GitHub stars
Production-ready templates for RAG and multi-agent systems
Seamless deployment orchestration for Cloud Run and GKE

使用场景

Implementing automated evaluation metrics for production AI agents
Designing a multi-agent system for complex task orchestration
Deploying a containerized RAG agent to Vertex AI Agent Engine