cnemri/google-genai-skills

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.

First seen Jan 31, 2026

Installation

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

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 126
License LICENSE
Default branch main
Open issues 1
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,074 B
  • docs SUMMARY.md 3,037 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 393 installs

SKILL.md

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 webfetch or runshell_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.