Which AI models are supported?

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

Can I implement human-in-the-loop approvals?

Absolutely. The ADK supports tool confirmation flows, ensuring that agents require explicit human approval before executing sensitive or critical functions.

How can I deploy agents built with Google ADK?

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

What is Google ADK Python?

It is an open-source, code-first toolkit designed for building, evaluating, and deploying AI agents with integrated tools and complex orchestration capabilities.

Does it support multi-agent systems?

Yes, it includes specialized LlmAgents and WorkflowAgents that allow for hierarchical coordination, delegation, and parallel execution between multiple specialized agents.

Google Agent Development Kit (ADK)

Name: Google Agent Development Kit (ADK)
Author: xiaxingxiaowei1983

byxiaxingxiaowei1983

0•

Data Science & ML

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

Google ADK Python is a robust, code-first framework designed to simplify the creation and orchestration of AI agents. It allows developers to define dynamic LlmAgents with tool-calling capabilities or structured WorkflowAgents for predictable sequential, parallel, or looping execution patterns. With native optimization for Gemini models, integrated Google Search and code execution tools, and seamless deployment paths to Vertex AI and Cloud Run, this skill empowers users to build production-grade agentic workflows with human-in-the-loop safety features and systematic performance evaluation.

Key Features

01Structured workflow agents for sequential, parallel, and loop patterns

02Human-in-the-loop approval flows for sensitive tool execution

03Multi-agent orchestration with hierarchical coordination and delegation

04Integrated tools for Google Search, Code Execution, and custom Python functions

050 GitHub stars

06Native deployment support for Vertex AI Agent Engine and Cloud Run

Use Cases

01Creating complex customer support systems with dynamic routing and knowledge base access

02Implementing automated content pipelines using parallel specialized agents for drafting and editing

03Building research assistants that combine web search, data processing, and report generation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add xiaxingxiaowei1983/ai google-adk-python

For use in Claude.ai and ChatGPT

Key Features

01Structured workflow agents for sequential, parallel, and loop patterns

02Human-in-the-loop approval flows for sensitive tool execution

03Multi-agent orchestration with hierarchical coordination and delegation

04Integrated tools for Google Search, Code Execution, and custom Python functions

050 GitHub stars

06Native deployment support for Vertex AI Agent Engine and Cloud Run

Use Cases

01Creating complex customer support systems with dynamic routing and knowledge base access

02Implementing automated content pipelines using parallel specialized agents for drafting and editing

03Building research assistants that combine web search, data processing, and report generation