Skip to content
Agent Orchestration
Skill

/google-adk-python

Expert guidance on the Google Agent Development Kit (ADK) for Python. Use this skill when the user asks about building agents, using tools, streaming, callbacks, tutorials, deployment, or advanced architecture with the Google ADK in Python.

BOOST
From plugin
google-genai-skills
12810 skills
Install
$ npx -y skills add cnemri/google-genai-skills --skill google-adk-python --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/google-adk-python

Context preview

The summary Claude sees to decide when to auto-load this skill.

Expert guidance on the Google Agent Development Kit (ADK) for Python. Use this skill when the user asks about building agents, using tools, streaming, callbacks, tutorials, deployment, or advanced architecture with the Google ADK in Python.

SKILL.md

google-adk-python.SKILL.md
name: google-adk-python
description: Expert guidance on the Google Agent Development Kit (ADK) for Python. Use this skill when the user asks about building agents, using tools, streaming, callbacks, tutorials, deployment, or advanced architecture with the Google ADK in Python.

Google ADK (Python) Skill

This skill provides comprehensive documentation and Python examples for the Google Agent Development Kit (ADK). It maps documentation topics to their corresponding Python code snippets.

How to Use

Identify the user's specific interest or task and refer to the relevant reference file below. Each reference file contains links to the official documentation (Markdown) and the corresponding Python examples (raw code).

Topics

1. Getting Started

For installation, quickstarts, and basic agent setup.

  • **Reference**: [references/get-started.md](references/get-started.md)

2. Agents & Models

For creating different types of agents (LLM, Workflow, Loop, Parallel, Sequential) and configuring specific models (Gemini, Anthropic, etc.).

  • **Agents Reference**: [references/agents.md](references/agents.md)
  • **Models Reference**: [references/models.md](references/models.md)

3. Tools (Basic & Advanced)

For integrating tools like Google Search, Code Execution, BigQuery, third-party services (GitHub, Jira, etc.), MCP, and Grounding.

  • **Basic Tools Reference**: [references/tools.md](references/tools.md)
  • **Advanced Tools Reference**: [references/advanced-tools.md](references/advanced-tools.md)

4. Streaming

For building real-time, low-latency streaming agents (audio/video).

  • **Reference**: [references/streaming.md](references/streaming.md)

5. Callbacks

For hooking into agent lifecycle events (before/after agent, model, tool execution).

  • **Reference**: [references/callbacks.md](references/callbacks.md)

6. Runtime & Architecture

For deep dives into the Runtime, Sessions, Memory, Context, Events, Artifacts, and Plugins.

  • **Reference**: [references/runtime-arch.md](references/runtime-arch.md)

7. Deployment & Operations

For deploying agents (Cloud Run, GKE) and observability (Logging, Tracing, Evaluation).

  • **Reference**: [references/deploy-ops.md](references/deploy-ops.md)

8. Tutorials & Samples

For end-to-end tutorials and complete agent samples (e.g., YouTube Shorts Assistant, Weather Agent).

  • **Reference**: [references/tutorials.md](references/tutorials.md)

9. API Reference

For REST API details.

  • **Reference**: [references/api.md](references/api.md)

10. General Information

For project info, community, release notes, and limitations.

  • **Reference**: [references/general.md](references/general.md)

Instructions

  • When a user asks about a specific topic, load the corresponding reference file to get the URLs for the documentation and code.
  • You can read the content of the linked files using `web_fetch` or `run_shell_command` with `curl` if you need to provide the actual content to the user.
  • Always prefer providing the Python example code when explaining a concept.
Read more
Ships withgoogle-genai-skills

A curated collection of agentic skills for Google AI frameworks and models. Designed to work seamlessly with Gemini CLI, Antigravity, Claude Code, and more. Author: Chouaieb Nemri

Get the whole plugin

Other skills on google-genai-skills.