🎯

google-adk-python

🎯Skill

from cnemri/google-genai-skills

What it does

Provides expert guidance and Python code examples for building, configuring, and deploying intelligent agents using the Google Agent Development Kit (ADK).

📦

Part of

cnemri/google-genai-skills(9 items)

google-adk-python

Installation

Quick InstallInstall with npx

npx skills add cnemri/google-genai-skills --skill google-adk-python

git cloneClone repository

git clone https://github.com/cnemri/google-genai-skills.git ~/.gemini/skills/google-genai-skills

📖 Extracted from docs: cnemri/google-genai-skills

Need more details? View full documentation on GitHub →

18Installs

AddedFeb 4, 2026

View on GitHub Back to Skills

Skill Details

SKILL.md

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.

Overview

# 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.

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