Does it support multi-agent orchestration?

Yes, it includes patterns for designing orchestrators and defining specific responsibilities for multiple agents working in sequential or complex workflows.

Which cloud platforms are supported for deployment?

The skill is specifically optimized for Google Cloud projects and the Vertex AI Agent Engine deployment target, providing deployment plans and health checks.

What is the ADK Agent Engineer skill?

It is a specialized capability for Claude Code designed to help developers build, test, and deploy production-ready AI agents using the Google Cloud Agent Development Kit (ADK) framework.

Can it improve existing agent code?

Absolutely. It can refactor existing prototypes into clean, modular structures, enforce tool boundaries, and add comprehensive unit and regression tests.

Which programming languages are supported?

It supports major runtimes compatible with the ADK, including Python, Java, and Go, adhering to the project's specific versioning.

ADK Agent Engineer

Name: ADK Agent Engineer
Author: Brmbobo

byBrmbobo

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데이터 과학 및 ML

Builds and deploys production-ready Agent Development Kit (ADK) agents with robust testing and multi-agent orchestration.

The ADK Agent Engineer skill empowers Claude to architect, implement, and automate the deployment of specialized AI agents using the Google Cloud Agent Development Kit (ADK). It provides a structured framework for creating maintainable agent codebases, implementing tool-use with validation, managing complex multi-agent workflows, and ensuring production stability through automated regression testing and deployment checklists for platforms like Vertex AI Agent Engine. This skill is ideal for developers looking to move from prompt prototypes to scalable, enterprise-grade agentic applications.

주요 기능

01Automated regression testing for prompt flows and tool interfaces

02Operational guardrails including retries, backoff, and state management

03Deployment automation for Google Cloud Agent Engine and local runtimes

04Architectural scaffolding for single and multi-agent systems

05Incremental tool implementation with structured validation and error handling

060 GitHub stars

사용 사례

01Configuring secure tool boundaries and IAM-compliant deployment pipelines for GCP

02Building a multi-agent team with specific roles like validator, deployer, and monitor

03Refactoring a prototype agent into a modular production codebase with full test coverage

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add brmbobo/web2podcast adk-engineer

For use in Claude.ai and ChatGPT

Download Skill