ADK Developer

What problem does it solve?

This Skill provides a comprehensive guide to building, orchestrating, and deploying AI agents using the Google Agent Development Kit (ADK), addressing the complexities of agent development and deployment.

Core Features & Use Cases

• ADK Best Practices: Offers best practices and guidelines for ADK development.
• Agent Development: Provides a step-by-step guide to building LLM and custom agents.
• Orchestration: Explains how to use Workflow agents for deterministic control flow.
• Multi-Agent Systems: Describes communication mechanisms and the A2A Protocol.
• Model Integration: Details integration of various LLMs like Gemini and LiteLLM.
• Tools: Lists and explains tools for agent capabilities, including FunctionTools, LangChainTool, and OpenAPIToolset.
• Deployment Strategies: Covers local development, Vertex AI Agent Engine, and Cloud Run deployment.
• Evaluation and Safety: Discusses agent evaluation and safety considerations.
• Debugging and Logging: Provides guidance on debugging, logging, and observability.
• Performance Optimization: Offers tips for optimizing agent performance.
• General Best Practices: Lists common pitfalls and best practices in ADK development.
• Official API & CLI References: Includes references to Python API, CLI, and REST API.

Quick Start

Start a new ADK project by initializing a virtual environment and installing dependencies with uv.