Google Maps integration for OpenClaw with Routes API. Use for: (1) Distance/travel time calculations with traffic prediction, (2) Turn-by-turn directions, (3...
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install google-mapsOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install google-mapsβ 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-maps/π‘Extract and place the folder at the path above, then restart your agent.
Category
π€AI Agent & AutomationPlatforms
What Google Maps can do for your AI workflow
Google maps integration directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 4,050+ 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 Maps
Help me get started with Google Maps
Explains what Google Maps does, walks through the setup, and runs a quick demo based on your current project
Use Google Maps to google Maps integration for OpenClaw with Routes API
Invokes Google Maps with the right parameters and returns the result directly in the conversation
What can I do with Google Maps in my ai agent & automation workflow?
Lists the top use cases for Google Maps, with example commands for each scenario
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Google Maps extends your AI assistant with the ability to google Maps integration for OpenClaw with Routes API. Use for: (1) Distance/travel time calculations with traffic prediction, (2) Turn-by-turn directions, (3... 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 Maps as its underlying capability.
Google Maps 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 Maps 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 Maps installs like any other MCP skill: drop the folder into `~/.claude/skills/google-maps/` for global access, or `.claude/skills/google-maps/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/google-maps`, or let the AI decide when it's the right tool for your request.
Google Maps has been installed 4,050 times, making it one of the more actively used skills in the AI Agent & Automation category. The install rate suggests it solves a real, recurring need rather than a niche edge case. 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-maps/ for personal use (all projects), or .claude/skills/google-maps/ for project-specific use. Restart your AI client, then invoke with /google-maps or let the AI discover it automatically.
Google Maps supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Google Maps is free to install. Check the repository for licensing information.
Google Maps integration for OpenClaw with Routes API. Use for: (1) Distance/travel time calculations with traffic prediction, (2) Turn-by-turn directions, (3...
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Identifies repetitive steps in your workflow and sets up Google Maps to handle them automatically
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