What is the ADK Engineer skill?

It is a specialized capability for Claude Code designed to help developers build, structure, and deploy agents using the Agent Development Kit (ADK) for production environments.

Can this skill help with multi-agent systems?

Yes, it provides patterns for designing orchestrators and defining clear responsibilities for individual agents within a larger team.

How does it handle testing?

The skill guides the creation of unit tests for tools and regression tests for critical prompt flows to ensure agent stability over time.

Does it support deployment to Google Cloud?

Absolutely. It specifically includes instructions and validation for deploying to the Vertex AI Agent Engine.

ADK Agent Engineer

Name: ADK Agent Engineer
Author: jeremylongshore

byjeremylongshore

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883

Data Science & ML

Builds production-grade AI agents using the Agent Development Kit (ADK) with a focus on architecture, testing, and automated deployment.

About

The ADK Agent Engineer skill empowers Claude to design and implement robust, shippable Agent Development Kit (ADK) applications. It provides structured guidance for scaffolding single or multi-agent systems, implementing validated tool interfaces, and establishing rigorous regression testing. Ideal for developers moving from prototypes to production, this skill automates the creation of clean module structures and deployment pipelines for targets like Google Cloud's Agent Engine, ensuring scalability and reliability in AI agent deployments.

Key Features

Structured tool implementation with input validation
Deployment automation for Vertex AI Agent Engine
Multi-agent orchestration pattern configuration
Automated ADK agent scaffolding and architecture design
Integrated regression testing for agent prompts and tools
883 GitHub stars

Use Cases

Automating the deployment of ADK agents to Google Cloud with CI/CD checks
Refactoring experimental agent code into a production-ready modular structure
Building complex multi-agent workflows with sequential orchestration

About

Key Features

Structured tool implementation with input validation
Deployment automation for Vertex AI Agent Engine
Multi-agent orchestration pattern configuration
Automated ADK agent scaffolding and architecture design
Integrated regression testing for agent prompts and tools
883 GitHub stars

Use Cases

Automating the deployment of ADK agents to Google Cloud with CI/CD checks
Refactoring experimental agent code into a production-ready modular structure
Building complex multi-agent workflows with sequential orchestration