google-adk-python

Name: google-adk-python
Availability: InStock
Author: nguyenvanlinh1902

Automate AI agent development and orchestration with Google ADK Python.

Updated Dec 16, 2025

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

Ready to run

npx skills add https://github.com/nguyenvanlinh1902/trackingSolar --skill google-adk-python-nguyenvanlinh1902

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: google-adk-python
Source: https://github.com/nguyenvanlinh1902/trackingSolar/tree/main/.opencode/skill/google-adk-python
Command: npx skills add https://github.com/nguyenvanlinh1902/trackingSolar --skill google-adk-python-nguyenvanlinh1902

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI agent development and orchestration is complex and time-consuming. This skill provides a code-first toolkit to build, integrate tools, orchestrate multi-agent flows, and deploy agents using Google ADK Python.

Core Features & Use Cases

Tool integration: connect pre-built tools and custom functions to agents.
Workflow patterns: sequential, parallel, and loop-based agent coordination.
Deployment: deploy agents to Vertex AI, Cloud Run, or custom infra.
Human-in-the-loop: integrate approval steps for sensitive actions.
Evaluation & testing: built-in patterns for testing agent performance.

Quick Start

Instantiate a simple LlmAgent with Tools and optional sub-agents.

Frequently Asked Questions about google-adk-python

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

FAQPage Schema

How do I orchestrate multi-agent workflows in Python?▼

You can orchestrate multi-agent workflows in Python using Google ADK to define sequential, parallel, and loop-based agent coordination. This approach establishes a modular, testable, and safe pipeline for complex task execution.

How do I deploy AI agents to Vertex AI?▼

You can deploy AI agents to Vertex AI using Google ADK Python for cloud infrastructure hosting. This allows seamless integration of your multi-agent systems into scalable cloud environments.

What is the best way to integrate custom tools with AI agents?▼

The best way to integrate custom tools with AI agents is using a code-first approach with Google ADK. This lets you connect pre-built tools and custom functions directly to your agents for real-world pipeline execution.

Can I add human-in-the-loop approval steps for sensitive agent actions?▼

Yes, you can add human-in-the-loop approval steps for sensitive actions using Google ADK. This ensures safe workflow orchestration by requiring manual validation before agents execute critical operations.

Does Google ADK support evaluation and testing for multi-agent systems?▼

Yes, Google ADK supports evaluation and testing for multi-agent systems through built-in patterns. These tools help you measure and validate agent performance to ensure reliable workflow execution.

What are the limitations of using code-first AI agents for workflow orchestration?▼

Code-first AI agent workflow orchestration requires strong programming knowledge to establish modular pipelines. You must handle installation, tool usage, and evaluation setup manually, which may increase initial development time.