Can I use this with models other than Gemini?

While highly optimized for Gemini 1.5 and 2.5 models, the ADK is model-agnostic and supports other LLM providers through standard API integrations.

What is Google ADK Python?

Google ADK Python is an open-source, code-first toolkit for building, evaluating, and deploying AI agents with advanced tool integration and orchestration capabilities.

What are Workflow Agents?

Workflow Agents are structured orchestration patterns including SequentialAgent (order-based), ParallelAgent (concurrent), and LoopAgent (iterative logic) for predictable execution.

Does this skill support multi-agent systems?

Yes, it provides implementation patterns for hierarchical coordination, specialized agents, and coordinator agents for complex delegation tasks.

How do I deploy agents created with this skill?

The skill covers deployment to Vertex AI Agent Engine, Google Cloud Run, and custom containerized infrastructure.

Google ADK Python

Name: Google ADK Python
Author: rafaelcalleja

byrafaelcalleja

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数据科学与机器学习

Builds, evaluates, and deploys sophisticated AI agents and multi-agent workflows using Google’s open-source Agent Development Kit.

关于

This skill provides expert guidance for Google's Agent Development Kit (ADK) for Python, a code-first toolkit designed for engineering-centric AI agent development. It enables the creation of complex multi-agent systems using hierarchical coordination and structured workflow patterns like sequential, parallel, and loop agents. With specialized support for Gemini models, tool integration (including Google Search and Code Execution), and human-in-the-loop approval flows, this skill helps developers move from local prototyping to production-grade deployment on Vertex AI or Cloud Run while following systematic testing and evaluation best practices.

主要功能

Support for Sequential, Parallel, and Loop workflow patterns
Multi-agent orchestration including hierarchical and specialized agents
Native tool integration for Google Search and custom Python functions
Streamlined deployment patterns for Vertex AI and Cloud Run
1 GitHub stars
Human-in-the-loop confirmation flows for sensitive tool executions

使用场景

Creating multi-step code automation pipelines with built-in execution and debugging
Building intelligent customer support systems with dynamic routing and knowledge base access
Developing autonomous research assistants that perform web searches and generate reports

关于

主要功能

Support for Sequential, Parallel, and Loop workflow patterns
Multi-agent orchestration including hierarchical and specialized agents
Native tool integration for Google Search and custom Python functions
Streamlined deployment patterns for Vertex AI and Cloud Run
1 GitHub stars
Human-in-the-loop confirmation flows for sensitive tool executions

使用场景

Creating multi-step code automation pipelines with built-in execution and debugging
Building intelligent customer support systems with dynamic routing and knowledge base access
Developing autonomous research assistants that perform web searches and generate reports