Can I deploy agents to Google Cloud using this skill?

Absolutely. The skill includes patterns for deploying agents to Vertex AI Agent Engine and Cloud Run for scalable hosting.

Does this skill support multi-agent coordination?

Yes, it provides implementation patterns for hierarchical systems where coordinator agents delegate tasks to specialized sub-agents.

What is the Google ADK Python Skill?

It is a specialized capability for Claude Code that provides domain-specific guidance, patterns, and best practices for building AI agents using Google's open-source Agent Development Kit.

What models work best with Google ADK?

While the toolkit is model-agnostic, it is highly optimized for the Gemini family, including Gemini 1.5 and 2.5 Pro and Flash models.

Google ADK Python Agent Toolkit

Name: Google ADK Python Agent Toolkit
Author: nordeim

bynordeim

Data Science & ML

Simplifies the creation, orchestration, and deployment of production-grade AI agents using Google's Agent Development Kit.

About

The google-adk-python skill provides comprehensive guidance for building sophisticated AI agents and multi-agent systems with a code-first approach. It enables developers to implement diverse orchestration patterns—from dynamic LLM-driven routing to structured sequential and parallel workflows—while seamlessly integrating tools like Google Search and custom Python functions. With native support for human-in-the-loop approvals and deployment paths for Vertex AI and Cloud Run, this skill helps transition AI agent concepts into scalable, enterprise-ready applications.

Key Features

Human-in-the-loop confirmation flows for secure tool execution
0 GitHub stars
Multi-agent orchestration with hierarchical coordination and delegation
Seamless tool integration for Google Search and custom Python functions
Structured workflow patterns including sequential, parallel, and loop agents
Direct deployment support for Vertex AI Agent Engine and Cloud Run

Use Cases

Developing complex data analysis pipelines with parallel processing and human approval
Implementing intelligent customer support systems with dynamic query routing and tool usage
Building autonomous research assistants with multi-step search and synthesis capabilities

About

Key Features

Human-in-the-loop confirmation flows for secure tool execution
0 GitHub stars
Multi-agent orchestration with hierarchical coordination and delegation
Seamless tool integration for Google Search and custom Python functions
Structured workflow patterns including sequential, parallel, and loop agents
Direct deployment support for Vertex AI Agent Engine and Cloud Run

Use Cases

Developing complex data analysis pipelines with parallel processing and human approval
Implementing intelligent customer support systems with dynamic query routing and tool usage
Building autonomous research assistants with multi-step search and synthesis capabilities