Does this skill include deployment automation?

Yes, it includes pre-configured templates for CI/CD via GitHub Actions and infrastructure setup for GKE and Cloud Run.

Which programming languages does this skill support?

The skill provides expert-level code implementation patterns for Python, Java, and Go.

What is the ADK Engineer skill?

It is a specialized Claude Code skill designed to help developers build, test, and deploy enterprise-grade AI applications using the Google Agent Development Kit (ADK).

How does it handle agent reliability?

It implements standardized project structures, comprehensive testing suites (Pytest/Unit), and robust error-recovery mechanisms to ensure production stability.

Can it help with multi-agent orchestration?

Yes, it specializes in designing orchestration patterns such as sequential, parallel, and Directed Acyclic Graph (DAG) workflows for complex agent interactions.

ADK Agent Engineer

Name: ADK Agent Engineer
Author: BbgnsurfTech

byBbgnsurfTech

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データサイエンスとML

Engineers production-ready Agent Development Kit (ADK) applications with automated testing, multi-agent orchestration, and GCP deployment.

概要

This skill equips Claude with specialized expertise for building enterprise-grade applications using the Agent Development Kit (ADK). It guides the entire development lifecycle—from architecting scalable multi-agent systems and writing clean Python/Java/Go code to implementing robust testing suites and CI/CD pipelines. Ideal for developers transitioning from experimental prototypes to stable AI applications, it ensures best practices in error handling, resource optimization, and infrastructure as code for environments like GKE and Cloud Run.

主な機能

Comprehensive testing strategies (Unit, Integration, E2E)
Scalable multi-agent architecture design and orchestration
Automated CI/CD pipelines for Google Cloud Platform
3 GitHub stars
Robust error handling and observability integration
Production-ready implementation in Python, Java, and Go

ユースケース

Architecting complex multi-agent workflows for enterprise tasks
Automating the deployment of ADK agents to GKE or Cloud Run
Refactoring AI prototypes into production-grade project structures

概要

主な機能

Comprehensive testing strategies (Unit, Integration, E2E)
Scalable multi-agent architecture design and orchestration
Automated CI/CD pipelines for Google Cloud Platform
3 GitHub stars
Robust error handling and observability integration
Production-ready implementation in Python, Java, and Go

ユースケース

Architecting complex multi-agent workflows for enterprise tasks
Automating the deployment of ADK agents to GKE or Cloud Run
Refactoring AI prototypes into production-grade project structures