google-adk-python

Develop and deploy AI agents with the Google ADK Python toolkit.

Updated Jan 27, 2026
One-click install
npx skills add https://github.com/Hoang130203/Emgu_CV_automation --skill google-adk-python-hoang130203
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: google-adk-python
Source: https://github.com/Hoang130203/Emgu_CV_automation/tree/main/.opencode/skills/google-adk-python
Command: npx skills add https://github.com/Hoang130203/Emgu_CV_automation --skill google-adk-python-hoang130203

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill empowers users to build sophisticated AI agents, manage multi-agent systems, and deploy them efficiently using Google's Agent Development Kit.

Core Features & Use Cases

  • Agent Creation: Develop LLM-powered agents with tool integration and orchestration.
  • Multi-Agent Systems: Design hierarchical and coordinated agent networks.
  • Workflow Automation: Implement sequential, parallel, and loop-based agent execution.
  • Deployment: Deploy agents to Vertex AI, Cloud Run, or custom infrastructure.
  • Use Case: A marketing team can use this skill to build an agent that researches trending topics, drafts social media posts, and schedules them for publication.

Quick Start

Use the google-adk-python skill to create a simple LLM agent named 'web_searcher' that uses the google_search tool.

Frequently Asked Questions about google-adk-python

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build multi-agent systems with Google ADK?

Build multi-agent systems with Google ADK by using the Python toolkit to design hierarchical and coordinated agent networks. The kit facilitates LLM-powered agent creation with tool integration and orchestration for complex workflows.

How do I create an LLM agent that uses Google Search?

Create an LLM agent that uses Google Search by initializing a simple agent like 'web_searcher' and attaching the google_search tool. The toolkit integrates search capabilities directly into the agent for real-time information retrieval.

Can I deploy AI agents to Vertex AI using Python?

Deploy AI agents to Vertex AI using the Google ADK Python toolkit. It supports efficient deployment of multi-agent systems and workflow agents directly to Vertex AI, Cloud Run, or custom infrastructure.

What is the best way to automate workflows with AI agents?

Automate workflows with AI agents by implementing sequential, parallel, and loop-based agent execution. Google ADK facilitates workflow automation through coordinated agent networks designed for tasks like research and drafting.

Does Google ADK support code execution for AI agents?

Google ADK supports code execution for AI agents by integrating execution tools directly into the LLM-powered agent workflow. This allows agents to run code as part of their orchestrated tasks.