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google-adk-python

Develop and deploy AI agents with Google ADK in Python.

Updated Jan 21, 2026
Search Tags:#workflow automation#python#llm#multi-agent#ai agent#google adk#vertex ai
One-click install
npx skills add https://github.com/HsnSaboor/open-engineer --skill google-adk-python-hsnsaboor
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: google-adk-python
Source: https://github.com/HsnSaboor/open-engineer/tree/main/src/skills/bundled/samhvw8-google-adk-python
Command: npx skills add https://github.com/HsnSaboor/open-engineer --skill google-adk-python-hsnsaboor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies the creation, evaluation, and deployment of sophisticated AI agents and multi-agent systems using Google's Agent Development Kit (ADK) for Python.

Core Features & Use Cases

  • AI Agent Building: Develop custom agents with LLM integration, tool usage, and dynamic routing.
  • Multi-Agent Systems: Orchestrate complex interactions between multiple specialized agents.
  • Workflow Automation: Implement sequential, parallel, or looped agent execution for predictable pipelines.
  • Tool Integration: Seamlessly connect agents with Google Search, code execution, and custom tools.
  • Deployment: Deploy agents to Vertex AI, Cloud Run, or custom infrastructure.
  • Evaluation: Systematically test and refine agent performance.
  • Human-in-the-Loop: Integrate approval steps for critical actions.
  • Use Case: You need to build an AI assistant that can research a topic online, summarize the findings, and then draft an email report, coordinating these steps between specialized agents.

Quick Start

Use the google-adk-python skill to build a sequential agent that first researches a topic using Google Search and then writes a summary.

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 Python for workflow automation?▼

To build multi-agent systems with Python, use the Google ADK to orchestrate complex interactions and implement sequential, parallel, or looped agent execution pipelines for predictable task automation.

What is the best way to deploy LLM-powered AI agents to Vertex AI?▼

Deploying LLM-powered AI agents to Vertex AI is achieved by using Google ADK in Python to build and orchestrate agents, then deploying them directly to Vertex AI or Cloud Run infrastructure.

Can I integrate Google Search and code execution tools into my AI agent?▼

Yes, you can integrate Google Search and code execution tools into your AI agent. Google ADK allows seamless connection with these tools and custom tools to expand agent capabilities.

How do I add human-in-the-loop approval steps to an automated agent workflow?▼

To add human-in-the-loop approval steps to an automated agent workflow, use Google ADK's built-in capabilities to integrate critical action approvals, ensuring controlled execution for sensitive tasks.

Does Google ADK support evaluating and testing multi-agent performance?▼

Google ADK supports evaluating and testing multi-agent performance by providing systematic evaluation features to test, measure, and refine your AI agents during the development process.

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