Google ADK Python Skill

Google ADK Python

Open-source, code-first toolkit for building, evaluating, and deploying AI agents.

When to Use

Build AI agents with tool integration
Create multi-agent systems with hierarchical coordination
Implement workflow agents (sequential, parallel, loop)
Integrate with Google Search, Code Execution, or custom tools
Deploy to Vertex AI Agent Engine or Cloud Run
Implement human-in-the-loop approval flows

Installation

pip install google-adk

Agent Types

LlmAgent

LLM-powered agents with dynamic routing and adaptive behavior.

from google.adk.agents import LlmAgent
from google.adk.tools import google_search

agent = LlmAgent(
    name="search_assistant",
    model="gemini-2.5-flash",
    instruction="You are a helpful assistant that searches the web.",
    tools=[google_search]
)

SequentialAgent

Execute agents in defined order.

from google.adk.agents import SequentialAgent

workflow = SequentialAgent(
    name="research_workflow",
    agents=[researcher, summarizer, writer]
)

ParallelAgent

Run multiple agents concurrently.

from google.adk.agents import ParallelAgent

parallel = ParallelAgent(
    name="parallel_research",
    agents=[web_researcher, paper_researcher]
)

Multi-Agent System

# Specialized agents
researcher = LlmAgent(
    name="Researcher",
    model="gemini-2.5-flash",
    tools=[google_search]
)

writer = LlmAgent(
    name="Writer",
    model="gemini-2.5-flash",
)

# Coordinator
coordinator = LlmAgent(
    name="Coordinator",
    model="gemini-2.5-flash",
    instruction="Delegate tasks to researcher and writer.",
    sub_agents=[researcher, writer]
)

Custom Tools

from google.adk.tools import Tool

def calculate_sum(a: int, b: int) -> int:
    """Calculate the sum of two numbers."""
    return a + b

sum_tool = Tool.from_function(calculate_sum)

Model Support

gemini-2.5-flash (recommended)
gemini-2.5-pro
gemini-1.5-flash
gemini-1.5-pro

Best Practices

Code-first for version control and testing
Create specialized agents for specific domains
Use workflow agents for predictable pipelines
Implement confirmation flows for sensitive operations
Test agents systematically

Resources

GitHub: https://github.com/google/adk-python
Docs: https://google.github.io/adk-docs/

Credits

Source: https://github.com/mrgoonie/claudekit-skills

Agent Skills: Google ADK Python

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