google-adk-python

Build AI agents with Google ADK Python for Vertex AI or Cloud Run.

Updated Jan 28, 2026
One-click install
npx skills add https://github.com/brixtonpham/claude-config --skill google-adk-python-brixtonpham
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: google-adk-python
Source: https://github.com/brixtonpham/claude-config/tree/main/skills/google-adk-python
Command: npx skills add https://github.com/brixtonpham/claude-config --skill google-adk-python-brixtonpham

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Build and orchestrate AI agents using Google Agent Development Kit (ADK) for Python, enabling code-first agent creation, evaluation, and deployment workflows.

Core Features & Use Cases

  • Multi-agent system support with LlmAgent, SequentialAgent, ParallelAgent, and LoopAgent patterns
  • Tool integration (google_search, code_execution, OpenAPI tooling) and easy deployment to Vertex AI or Cloud Run
  • Evaluation, human-in-the-loop flows, and workflow orchestration for end-to-end agent pipelines Use Case: Create a coordinating team of agents to search, reason, and execute tasks across services.

Quick Start

Install the google-adk package and spin up a basic LlmAgent to start building a multi-agent workflow.

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 in Python that orchestrate workflows?

Build multi-agent systems in Python using Google ADK to coordinate LlmAgent, SequentialAgent, ParallelAgent, and LoopAgent patterns for complex workflow orchestration.

Can I deploy Google ADK Python agents to Vertex AI or Cloud Run?

Yes, deploy Google ADK Python agents directly to Vertex AI or Cloud Run to execute tool-enabled multi-agent workflows and evaluation pipelines in production environments.

What tools can I integrate with Google ADK Python agents?

Integrate tools like google_search, code_execution, and OpenAPI tooling into Google ADK Python agents to enable dynamic reasoning and task execution across external services.

Do I need Python and pip to start building AI agents with Google ADK?

Yes, building AI agents with Google ADK requires Python and the pip-installable google-adk package to initialize basic LlmAgent workflows and multi-agent pipelines.

Does Google ADK Python support human-in-the-loop flows and workflow evaluation?

Yes, Google ADK Python supports human-in-the-loop flows, workflow evaluation, and end-to-end agent pipeline orchestration for coordinating teams of agents that search, reason, and execute tasks.

What is the best way to coordinate a team of AI agents to search and execute tasks?

Use Google ADK Python to create a coordinating team of agents leveraging SequentialAgent and ParallelAgent patterns to search, reason, and execute tasks across integrated services.