google-adk-python
Google Agent Development Kit (ADK) for Python. Capabilities: AI agent building, multi-agent systems, workflow agents (sequential/parallel/loop), tool integration (Google Search, Code Execution), Vertex AI deployment, agent evaluation, human-in-the-loop flows. Actions: build, create, deploy, evaluate, orchestrate AI agents. Keywords: Google ADK, Agent Development Kit, AI agent, multi-agent system, LlmAgent, SequentialAgent, ParallelAgent, LoopAgent, tool integration, Google Search, Code Execution, Vertex AI, Cloud Run, agent evaluation, human-in-the-loop, agent orchestration, workflow agent, hi
npx skills add majiayu000/claude-skill-registry --skill google-adk-python-brixtonpham-claude-config --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 Skill You are an expert guide for Google's Agent Development Kit (ADK) Python - an open-source, code-first toolkit for building, evaluating, and deploying AI agents. ## When to Use This Skill Use this skill when users need to: - Build AI agents with tool integration and orchestration capabilities - Create multi-agent systems with hierarchical coordination - Implement workflow agents (sequential, parallel, loop) for predictable pipelines - Integrate LLM-powered agents with Google Search, Code Execution, or custom tools - Deploy agents to Vertex AI Agent Engine, Cloud Run, or custom infrastructure - Evaluate and test agent performance systematically - Implement human-in-the-loop approval flows for tool execution ## Core Concepts ### Agent Types **LlmAgent**: LLM-powered agents capable of dynamic routing and adaptive behavior - Define with name, model, instruction, description, and tools - Supports sub-agents for delegation and coordination - Intelligent decision-making based on context **Workflow Agents**: Structured, predictable orchestration patterns - **SequentialAgent**: Execute agents in defined order - **ParallelAgent**: Run multiple agents concurrently - **
- When to Use This Skill
- Core Concepts
- Agent Types
- Key Components
- Installation
- Implementation Patterns
- Single Agent with Tools
- Multi-Agent System
- Custom Tool Creation
- Sequential Workflow
- Parallel Workflow
- Human-in-the-Loop
- Deployment Options
- Cloud Run Deployment
Stable release (recommended) pip install google-adk Development version (latest features) pip install git+https://github.com/google/adk-python.git@main Containerize agent docker build -t my-agent . Deploy to Cloud Run gcloud run deploy my-agent --image my-agent
What does the google-adk-python skill do?
Google Agent Development Kit (ADK) for Python. Capabilities: AI agent building, multi-agent systems, workflow agents (sequential/parallel/loop), tool integration (Google Search, Code Execution), Vertex AI deployment, agent evaluation, human-in-the-loop flows. Actions: build, create, deploy, evaluate, orchestrate AI agents. Keywords: Google ADK, Agent Development Kit, AI agent, multi-agent system, LlmAgent, SequentialAgent, ParallelAgent, LoopAgent, tool integration, Google Search, Code Execution, Vertex AI, Cloud Run, agent evaluation, human-in-the-loop, agent orchestration, workflow agent, hi
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill google-adk-python-brixtonpham-claude-config --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.