Can I implement human-in-the-loop approvals?

Yes, the skill includes patterns for tool confirmation flows, ensuring sensitive operations like code execution or search require human approval before proceeding.

Does this skill support multi-agent collaboration?

Yes, it provides specific implementation patterns for hierarchical agent structures, sequential workflows, and parallel processing between specialized agents.

Which LLM models work best with this skill?

While model-agnostic, the skill and ADK toolkit are highly optimized for Google's Gemini family, including Gemini 2.5 Flash and Pro.

How do I deploy agents built with this skill?

Agents can be containerized for Google Cloud Run, hosted on Vertex AI Agent Engine, or run on any custom infrastructure using standard Python environments.

What is the Google Agent Development Kit (ADK)?

Google ADK is an open-source, code-first toolkit designed for building, evaluating, and deploying AI agents with robust tool integration and orchestration capabilities.

Google ADK Python Agent Toolkit

Name: Google ADK Python Agent Toolkit
Author: mrgoonie

bymrgoonie

•

1,395

•

Data Science & ML

Builds and orchestrates sophisticated AI agents and multi-agent systems using Google's open-source Agent Development Kit.

The Google ADK Python skill enables developers to architect, evaluate, and deploy production-grade AI agents with a code-first approach. It provides comprehensive implementation patterns for both dynamic LLM-powered agents and structured workflow agents (sequential, parallel, and loop), supporting hierarchical coordination and specialized sub-agents. With built-in support for Google Search, code execution tools, and human-in-the-loop approval flows, this skill is essential for creating complex automation pipelines optimized for the Gemini model family and deployment on Google Cloud infrastructure like Vertex AI and Cloud Run.

Key Features

01Seamless integration with Google Search and secure code execution tools

02Multi-agent orchestration with hierarchical and parallel execution patterns

03Human-in-the-loop approval workflows for sensitive tool operations

041,395 GitHub stars

05Standardized deployment paths for Vertex AI Agent Engine and Cloud Run

06Native optimization for Gemini models including 1.5 and 2.5 Pro/Flash

Use Cases

01Creating multi-step content generation pipelines with distinct researcher, writer, and editor agents

02Developing intelligent customer support systems with dynamic routing and database tool integration

03Building autonomous research assistants that synthesize data from web search and local files

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add mrgoonie/claudekit-skills google-adk-python

For use in Claude.ai and ChatGPT

Download Skill