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google-adk-python

Automates AI agent development with Google ADK Python.

1|Updated Jan 25, 2026
Search Tags:#workflow#ai#agent-development#tool-integration#cloud-run#vertex-ai#adk-python
One-click install
npx skills add https://github.com/hoanghd218/tranvanhoang.com --skill google-adk-python-hoanghd218
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: google-adk-python
Source: https://github.com/hoanghd218/tranvanhoang.com/tree/main/.claude/skills/google-adk-python
Command: npx skills add https://github.com/hoanghd218/tranvanhoang.com --skill google-adk-python-hoanghd218

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a code-first framework to build, evaluate, and deploy AI agents using Google's ADK Python. It enables developers to architect multi-agent systems, orchestrate workflows, and integrate tools with safety and testing.

Core Features & Use Cases

  • Code-first agent design: Define LlmAgent and sub-agents with clear instructions and tool integrations.
  • Workflow orchestration: Supported patterns include SequentialAgent, ParallelAgent, and LoopAgent for predictable pipelines.
  • Deployment and evaluation: Deploy agents to Vertex AI Agent Engine, Cloud Run, or custom infrastructure, with structured testing and performance evaluation.
  • Tool integration & safety: Integrates pre-built tools and OpenAPI specs, with human-in-the-loop safeguards.

Quick Start

Define a simple LlmAgent with a search tool and run a minimal Sequential workflow to see agent orchestration in action.

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 workflows in Python?▼

You build multi-agent workflows in Python using orchestration patterns like SequentialAgent, ParallelAgent, and LoopAgent to create predictable pipelines for complex task execution.

Can I deploy AI agents to Vertex AI and Cloud Run?▼

Yes, you can deploy AI agents directly to Vertex AI Agent Engine, Cloud Run, or custom infrastructure, enabling scalable cloud execution and remote agent management.

How do I integrate external tools with an LLM agent?▼

You integrate external tools with an LlmAgent by linking pre-built tools and OpenAPI specifications, allowing the agent to execute external functions and retrieve real-time data.

What is the best way to add human-in-the-loop safety checks to AI agents?▼

The best way to add human-in-the-loop safety checks to AI agents is by configuring safeguard mechanisms within the agent workflow to pause for human approval before executing critical actions.

Does this AI agent development approach support structured testing and evaluation?▼

Yes, this AI agent development approach supports structured testing and performance evaluation to validate agent behavior and ensure reliable outputs before deployment.

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