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Google Adk Python

Checked
cnemri·vlatest·backend·MIT

Automates Google Ads campaign management using Python, enabling programmatic bidding and report generation via the Google Ads API.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add cnemri/google-genai-skills --skill google-adk-python -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

cnemri

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned cnemri/google-genai-skills at 7277476f92.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
7277476f92
Manifest
skills/google-adk-python/SKILL.md
Scanned
13 files, 372 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to interact directly with Google’s Action Discovery Kit (ADK) using Python. It allows agents to programmatically manage and deploy actions, serving as a bridge between generative AI models and Google's ecosystem for building custom tools.

When to use it

  • You need to build backend services that integrate specific Google Actions into your application.
  • Your agent requires the ability to automate the deployment or configuration of ADK-based workflows.
  • You are developing Python-based solutions that must leverage Google’s Action Framework capabilities.
  • You want to extend an AI agent's functionality by connecting it to real-world Google services via ADK.

Key capabilities

  • Direct interaction with Google Action Discovery Kit APIs.
  • Full implementation support using the Python programming language.
  • Programmatic management of action definitions and deployment states.
  • Integration within backend infrastructure for scalable tool creation.

Example prompts

  • "Create a new Google Action using ADK to manage my smart home devices via Python."
  • "Deploy a custom workflow that triggers notifications through Google Actions when specific conditions are met."
  • "Write a Python script to update the metadata and description of an existing action in the ADK registry."

Tips & gotchas

Ensure your environment has the necessary Google Cloud credentials configured before attempting to deploy actions. This skill is strictly backend-oriented; it does not provide a graphical interface for configuring actions, so all setup must be handled through code or API calls.