google-adk-python
Build AI agents with Google's Agent Development Kit (ADK) Python - an open-source toolkit for building, evaluating, and deploying AI agents. Features LlmAgent, workflow agents (sequential, parallel, loop), tool integration, multi-agent systems, and deployment to Vertex AI or Cloud Run.
npx skills add majiayu000/claude-skill-registry --skill google-adk-python-vibery-studio-templates --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 ```bash pip install google-adk ``` ## Agent Types ### LlmAgent LLM-powered agents with dynamic routing and adaptive behavior. ```python 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. ```python from google.adk.agents import SequentialAgent workflow = SequentialAgent( name="research_workflow", agents=[researcher, summarizer, writer] ) ``` ### ParallelAgent Run multiple agents concurrently. ```python from google.adk.agents import ParallelAgent parallel = ParallelAgent( name="parallel_research", agen
- When to Use
- Installation
- Agent Types
- LlmAgent
- SequentialAgent
- ParallelAgent
- Multi-Agent System
- Custom Tools
- Model Support
- Best Practices
- Resources
- Credits
pip install google-adk
What does the google-adk-python skill do?
Build AI agents with Google's Agent Development Kit (ADK) Python - an open-source toolkit for building, evaluating, and deploying AI agents. Features LlmAgent, workflow agents (sequential, parallel, loop), tool integration, multi-agent systems, and deployment to Vertex AI or Cloud Run.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill google-adk-python-vibery-studio-templates --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.