ck:google-adk-python
Build AI agents with Google ADK Python. Multi-agent systems, A2A protocol, MCP tools, workflow agents, state/memory, callbacks/plugins, Vertex AI deployment, evaluation.
npx skills add majiayu000/claude-skill-registry --skill google-adk-python-jorgezuloaga-audio-dev-mcps --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 Expert guide for Google's Agent Development Kit (ADK) Python — open-source, code-first toolkit for building, evaluating, and deploying AI agents. Optimized for Gemini, model-agnostic by design. ## When to Activate - Build single or multi-agent systems with tool integration - Implement A2A protocol for remote agent communication - Integrate MCP servers as agent tools - Use workflow agents (sequential, parallel, loop) for pipelines - Manage sessions, state, memory, and artifacts - Add callbacks, plugins, or observability hooks - Deploy to Cloud Run, Vertex AI Agent Engine, or GKE - Evaluate agents with `adk eval` framework ## Agent Structure Convention (Required) ``` my_agent/ ├── __init__.py # MUST: from . import agent └── agent.py # MUST: root_agent = Agent(...) OR app = App(...) ``` ## Quick Start ```bash pip install google-adk # stable (weekly releases) uv sync --all-extras # dev setup (uv required, Python 3.10+, 3.11+ recommended) ``` ```python from google.adk import Agent root_agent = Agent( name="assistant", model="gemini-2.5-flash", instruction="You are a helpful assistant.", description="General assistant agent.", tools=[get_weather], ) ``` ## App P
- When to Activate
- Agent Structure Convention (Required)
- Quick Start
- App Pattern (Production)
- CLI Tools
- Agent Types
- Key APIs
- Model Support
- Best Practices
- References
- External Resources
pip install google-adk # stable (weekly releases) uv sync --all-extras # dev setup (uv required, Python 3.10+, 3.11+ recommended)
What does the ck:google-adk-python skill do?
Build AI agents with Google ADK Python. Multi-agent systems, A2A protocol, MCP tools, workflow agents, state/memory, callbacks/plugins, Vertex AI deployment, evaluation.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill google-adk-python-jorgezuloaga-audio-dev-mcps --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.