Does it support human-in-the-loop workflows?

Yes, it includes built-in patterns for tool confirmation, allowing developers to require human approval before an agent executes sensitive or external actions.

Where can I deploy agents built with this toolkit?

Agents can be containerized for Google Cloud Run, hosted on the Vertex AI Agent Engine for managed scaling, or run on custom infrastructure.

What is the primary benefit of using Google ADK Python?

It provides a code-first, software engineering approach to agent development, making AI agents easier to version-control, test, and deploy to production-ready environments.

Can I create custom tools for my agents?

Absolutely. You can convert any standard Python function into a tool or integrate external services using OpenAPI specifications.

Which LLM models work best with this skill?

The toolkit is optimized for the Gemini family (including 1.5 and 2.5 Flash/Pro), but it is model-agnostic and can support other providers through standard APIs.

Google ADK Python Agent Toolkit

Name: Google ADK Python Agent Toolkit
Author: xiaxingxiaowei1983

byxiaxingxiaowei1983

0•

데이터 과학 및 ML

Builds, evaluates, and deploys sophisticated multi-agent AI systems using Google's Agent Development Kit for Python.

This skill provides an expert framework for using Google's Agent Development Kit (ADK) to build production-grade AI agents with a code-first approach. It enables developers to implement complex multi-agent architectures, structured workflows (sequential, parallel, or loop), and custom tool integrations including Google Search and code execution. Designed to bridge the gap between AI prototyping and software engineering, it supports systematic evaluation and native deployment to Google Cloud infrastructure like Vertex AI Agent Engine and Cloud Run, ensuring agents are scalable, testable, and secure through human-in-the-loop approval patterns.

주요 기능

01Seamless integration with Google Search, code execution, and custom Python tools

020 GitHub stars

03Structured workflow agents for predictable sequential, parallel, and loop execution

04Human-in-the-loop approval flows for secure and governed tool execution

05Hierarchical multi-agent orchestration for complex task delegation and coordination

06Native deployment patterns for Google Cloud Run and Vertex AI Agent Engine

사용 사례

01Building automated research assistants that combine web search, summarization, and report generation

02Creating data analysis workflows that execute code and process datasets with conditional logic

03Developing multi-stage content creation pipelines with specialized research, writing, and editing agents

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add xiaxingxiaowei1983/openclaw google-adk-python

For use in Claude.ai and ChatGPT

주요 기능

01Seamless integration with Google Search, code execution, and custom Python tools

020 GitHub stars

03Structured workflow agents for predictable sequential, parallel, and loop execution

04Human-in-the-loop approval flows for secure and governed tool execution

05Hierarchical multi-agent orchestration for complex task delegation and coordination

06Native deployment patterns for Google Cloud Run and Vertex AI Agent Engine

사용 사례

01Building automated research assistants that combine web search, summarization, and report generation

02Creating data analysis workflows that execute code and process datasets with conditional logic

03Developing multi-stage content creation pipelines with specialized research, writing, and editing agents