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Google Home Control (N.O.V.A.)

Created by: Mathew Pittard (Mat)
Portfolio: mathewpittard.vercel.app

This skill allows Clawdbot to control your smart home devices (lights, TVs, appliances) directly using a Python-based bridge to the Google Assistant SDK.

🛠️ Step-by-Step Setup

To get this skill working, you'll need to link it to your own Google account. Follow these steps:

1. Create a Google Cloud Project

Go to the Google Cloud Console.
Create a new project (e.g., "My Smart Home").
Enable the Google Assistant API.

2. Configure OAuth

Go to APIs & Services > Credentials.
Configure your OAuth Consent Screen (set User Type to "External" and add yourself as a test user).
Create an OAuth 2.0 Client ID with the type Desktop app.
Download the JSON file and rename it to
```
client_secret.json
```
.

3. Prepare the Python Environment

This skill requires a Python virtual environment with specific dependencies:

# Create and activate environment
python3 -m venv google_home_env
source google_home_env/bin/activate
Install requirements

pip install google-assistant-sdk[samples] google-auth-oauthlib[tool] tenacity

4. Authorize and Generate Credentials

Run the following command in your terminal to authorize the SDK:

google-oauthlib-tool --client-secrets /path/to/your/client_secret.json --scope https://www.googleapis.com/auth/assistant-sdk-prototype --save

This will open a browser window. Log in and grant permissions.

It will save a

credentials.json

file to

~/.config/google-oauthlib-tool/credentials.json

.

5. Final Configuration

Ensure the

google_home_env

is accessible to Clawdbot. When Clawdbot runs the skill, it will look for your credentials in the standard

~/.config

path automatically.

🚀 Usage

Simply tell the agent what to do:

"Turn off the office lights."
"Set the TV volume to 20."

The agent will use the

control.py

script inside this skill to execute the command via Google Assistant.

Google Home Control

AI Skill Market Insights

Be Part of the 0+ Developer Community

Google Home Control (N.O.V.A.)

🛠️ Step-by-Step Setup

1. Create a Google Cloud Project

2. Configure OAuth

3. Prepare the Python Environment

Install requirements

4. Authorize and Generate Credentials

5. Final Configuration

🚀 Usage

Quick Start

Manual Installation

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