Google Maps for Openclaw

A unified Google Maps integration for AI agents to handle geocoding, place details, and routing through the OneKey Gateway.

ai-hub-admin
v0.1.0
Mar 22, 2026
0
715
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install google-maps-onekey-gateway

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install google-maps-onekey-gateway using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Google Maps?

The Google Maps skill for Openclaw Skills provides a streamlined interface to interact with multiple Google Maps services through a single integration point. By utilizing the OneKey Gateway, developers can access geocoding, reverse geocoding, place searching, distance matrices, elevation data, and directions using one unified API key. This integration simplifies the process of adding location-based intelligence to your AI workflows, ensuring your agents can interpret and navigate the physical world efficiently without managing multiple API credentials.

Built to be developer-friendly, this skill enables AI agents to perform complex spatial queries. Whether you are building a travel assistant, a logistics automation tool, or a local search engine, these Openclaw Skills allow you to leverage Google's industry-leading mapping data with minimal configuration. The skill supports both CLI-based execution and direct Python script integration for maximum flexibility in any development environment.

Google Maps Use Cases

  • Converting human-readable addresses into geographic coordinates for precise data mapping.
  • Retrieving detailed business information, including ratings and contact info, using place IDs.
  • Calculating travel times and distances across multiple origins and destinations for logistics planning.
  • Determining the elevation of specific coordinates for environmental or construction analysis.
  • Generating step-by-step navigation instructions for various travel modes like driving or transit.

How Google Maps Works

  1. The AI agent initializes the skill using the DEEPNLP_ONEKEY_ROUTER_ACCESS environment variable to authenticate with the OneKey Gateway.
  2. When a location-based request is made, the agent selects the specific tool, such as geocoding or directions, based on the task requirements.
  3. The skill formats the request and sends it through the unified router to the Google Maps API.
  4. Structured data, such as coordinate sets or routing JSON, is returned to the Openclaw Skills environment.
  5. The AI agent processes the response to provide actionable answers or perform subsequent automation steps.

Google Maps Setup

To get started with this skill, install the necessary dependencies and configure your access key.

# Install the OneKey Gateway CLI
npm install -g @aiagenta2z/onekey-gateway

# Install the Python marketplace package
pip install ai-agent-marketplace

# Set your API access key
export DEEPNLP_ONEKEY_ROUTER_ACCESS=YOUR_API_KEY

Google Maps Data Schema & Taxonomy

The Google Maps skill for Openclaw Skills uses structured parameters to ensure accurate API communication. Below is the primary data schema:

Parameter Type Description
address string The physical address to be converted to coordinates.
latitude / longitude number Geographic coordinates for mapping and elevation.
query string Text-based search term for finding places and businesses.
place_id string A unique identifier used to fetch specific location details.
origins / destinations array Lists of locations used for calculating distance matrices.
mode string The travel method, such as driving, walking, or transit.

Google Maps Advanced Features

  • Unified API Routing: Manage all Google Maps services via a single gateway key within the Openclaw Skills framework.
  • Multi-Modal Directions: Support for driving, walking, bicycling, and transit routing in a single toolset.
  • Batch Distance Calculations: Efficiently compute matrices for multiple locations simultaneously to optimize route planning.
  • Reverse Geocoding: Translate GPS coordinates back into readable street addresses for user-facing applications.
  • Detailed Metadata: Access granular information about millions of locations including contact details and unique place identifiers.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*