google-adk-python

Build, evaluate, and deploy AI agents with Google's Agent Development Kit (ADK) Python.

Updated Mar 26, 2026

Search Tags:#tool integration #python #ai agent #multi-agent system #google adk

Ready to run

npx skills add https://github.com/locdinh209/curation-skills --skill google-adk-python-locdinh209

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: google-adk-python
Source: https://github.com/locdinh209/curation-skills/tree/main/google-adk-python
Command: npx skills add https://github.com/locdinh209/curation-skills --skill google-adk-python-locdinh209

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires google-adk, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill unit empowers AI developers to build, evaluate, and deploy complex multi-agent systems, streamlining tasks such as Google Search integration, code execution, and AI agent orchestration.

Core Features & Use Cases

Multi-Agent Systems: Design and deploy multi-agent systems for hierarchical coordination and task delegation.
Tool Integration: Leverage pre-built tools like Google Search and code execution, or create custom tools for specialized functions.
Deployment: Deploy agents to Vertex AI, Cloud Run, or custom infrastructure with ease.
Use Case: Develop a multi-agent system to automate a research process that includes web searches, data analysis, and report generation.

Quick Start

Deploy the agent using the 'deploy_agent.py' script located in the 'scripts' directory.

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 a multi-agent system in Python for complex AI workflows?▼

You can build a multi-agent system in Python using Google ADK to design hierarchical coordination and task delegation for complex AI workflows. The framework supports both workflow agents and custom tool integration.

How do I integrate Google Search and code execution into an AI agent?▼

Integrate Google Search and code execution into an AI agent by leveraging pre-built tools provided in Google ADK. You can also create custom tools for specialized functions to handle specific data processing requirements.

Can I deploy AI agents built with Google ADK to Cloud Run or Vertex AI?▼

Yes, you can deploy AI agents built with Google ADK directly to Vertex AI, Cloud Run, or custom infrastructure. The deployment process is handled via the 'deploy_agent.py' script provided in the scripts directory.

What is the best way to automate a research process using a multi-agent system?▼

The best way to automate a research process is developing a multi-agent system using Google ADK. It handles task delegation for web searches, data analysis, and report generation seamlessly within your Python environment.

Does Google ADK support hierarchical coordination and task delegation for agents?▼

Yes, Google ADK supports hierarchical coordination and task delegation for agents. This architecture allows developers to design multi-agent systems that orchestrate complex workflows and specialized tool integration.

What are the limitations of using Google ADK for multi-agent workflows?▼

Google ADK requires the specific 'google-adk' dependency and Python environment. While robust for multi-agent workflows, developers must evaluate whether their custom infrastructure or specialized tools fit the intended deployment targets.