Control Google Nest thermostats, cameras, and doorbells via Google Smart Device Management API using curl and jq commands.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install google-homeOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install google-homeβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/google-home/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Google Home/Nest can do for your AI workflow
Google nest thermostats, directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 2,535+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Google Home/Nest
Help me get started with Google Home/Nest
Explains what Google Home/Nest does, walks through the setup, and runs a quick demo based on your current project
Use Google Home/Nest to control Google Nest thermostats, cameras, and doorbells via Google ...
Invokes Google Home/Nest with the right parameters and returns the result directly in the conversation
What can I do with Google Home/Nest in my developer & devops workflow?
Lists the top use cases for Google Home/Nest, with example commands for each scenario
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Google Home/Nest extends your AI assistant with the ability to control Google Nest thermostats, cameras, and doorbells via Google Smart Device Management API using curl and jq commands. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Google Home/Nest as its underlying capability.
Google Home/Nest works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Google Home/Nest once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Google Home/Nest installs like any other MCP skill: drop the folder into `~/.claude/skills/google-home/` for global access, or `.claude/skills/google-home/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/google-home`, or let the AI decide when it's the right tool for your request.
Google Home/Nest has been installed 2,535 times, making it one of the more actively used skills in the Developer & DevOps category. The install rate suggests it solves a real, recurring need rather than a niche edge case. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/google-home/ for personal use (all projects), or .claude/skills/google-home/ for project-specific use. Restart your AI client, then invoke with /google-home or let the AI discover it automatically.
Google Home/Nest supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Google Home/Nest is free to install. Check the repository for licensing information.
Control Google Nest thermostats, cameras, and doorbells via Google Smart Device Management API using curl and jq commands.
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Google Home/Nest is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.
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