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ck:google-adk-python

Create, evaluate, and deploy AI agents with the Google ADK Python toolkit.

Updated Jan 11, 2026
Search Tags:#python#ai agents#llm development#multi-agent systems#google adk#vertex ai
One-click install
npx skills add https://github.com/felix-howard/ella --skill ck-google-adk-python
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ck:google-adk-python
Source: https://github.com/felix-howard/ella/tree/main/.opencode/skills/google-adk-python
Command: npx skills add https://github.com/felix-howard/ella --skill ck-google-adk-python

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill empowers developers to build, evaluate, and deploy sophisticated AI agents and multi-agent systems using Google's Agent Development Kit (ADK) in Python.

Core Features & Use Cases

  • Agent Development: Create single or multi-agent systems with tool integration, workflow agents (sequential, parallel, loop), and state/memory management.
  • Deployment: Deploy agents to Cloud Run, Vertex AI, or GKE.
  • Use Case: Develop a customer support agent that can access a knowledge base, execute code to diagnose issues, and communicate with other agents to resolve complex user queries.

Quick Start

Install the ADK by running pip install google-adk.

Frequently Asked Questions about ck: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 Google ADK in Python?▼

You build multi-agent systems by using Google ADK in Python to orchestrate workflow agents sequentially or in parallel, managing state and memory for complex agent interactions. It supports tool integration for sophisticated agent behaviors.

Can I deploy Google ADK agents to Vertex AI?▼

Yes, you can deploy Google ADK agents directly to Vertex AI, as well as Cloud Run or GKE. This allows you to take your Python-built multi-agent systems and host them on scalable cloud platforms.

Does Google ADK support the A2A protocol for agent communication?▼

Google ADK supports the A2A protocol for agent communication, enabling distinct agents to interact and resolve complex user queries. It also integrates MCP tools for extended functionality within your multi-agent systems.

What is the best way to manage state and memory in Python AI agents?▼

The best way to manage state and memory in Python AI agents is using Google ADK's built-in state management features. This handles memory retention across sequential and parallel workflow agents during complex operations.

Do I need Python to use the Google Agent Development Kit?▼

Yes, you need Python to use the Google Agent Development Kit, specifically installing it via pip. It is designed for Python developers building, evaluating, and deploying Llm-based AI agents and multi-agent systems.

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