Geokeo for Openclaw

A location intelligence skill that enables AI agents to visualize and analyze geospatial data for smarter business decision-making.

membranedev
v1.0.2
Apr 30, 2026
0
361
1

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install geokeo

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 geokeo 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 Geokeo?

Geokeo is a robust location intelligence platform designed to help businesses visualize and analyze complex geospatial data. By leveraging this skill within the Openclaw Skills ecosystem, developers can empower AI agents to gain deep insights into customer behavior, real estate trends, and logistics operations. The platform transforms raw coordinates into actionable intelligence, making it an indispensable tool for analysts in retail and real estate.

This integration utilizes Membrane to handle the complexities of geospatial API interactions. By using Openclaw Skills, your agent can manage datasets, customize map styles, and query organizational data without worrying about underlying authentication plumbing. It provides a structured way to interact with location-based records while maintaining high security and performance standards.

Geokeo Use Cases

  • Visualizing retail customer density to identify optimal locations for new store openings.
  • Analyzing real estate portfolios through geospatial mapping and style customization.
  • Automating the management of logistics data and supply chain visualization.
  • Querying organizational datasets to generate location-intelligence reports.
  • Integrating real-time geospatial analysis into research and discovery workflows.

How Geokeo Works

  1. The AI agent initializes the environment by installing and logging into the Membrane CLI.
  2. A secure connection to the Geokeo platform is established using the ensure command, which handles the full OAuth lifecycle.
  3. The agent utilizes natural language intent to search for available Geokeo actions, such as retrieving datasets or updating map styles.
  4. Specific actions are executed with JSON parameters, returning structured data for the agent to process.
  5. For custom requirements, the agent can send direct proxy requests to the Geokeo API, with Openclaw Skills automatically managing headers and credential refreshing.

Geokeo Setup

To start using this skill within Openclaw Skills, first install the required CLI:

npm install -g @membranehq/cli@latest

Authenticate your agent environment:

membrane login --tenant --clientName=openclaw

Establish a connection to Geokeo:

membrane connection ensure "https://geokeo.com/" --json

Verify the connection is ready before proceeding:

membrane connection get <id> --wait --json

Geokeo Data Schema & Taxonomy

The Geokeo skill organizes location intelligence data into a clear hierarchy. Interaction with these entities via Openclaw Skills ensures consistent data structures:

Entity Function
Dataset The primary container for geographic records and location points.
Column Defines specific attributes within a dataset, such as coordinates or metadata.
Map The visual layer used to render and display geospatial information.
Style Aesthetic configurations for how maps and data points are presented.
Organization Manages user access, permissions, and shared geospatial resources.
Auth Handles secure session management and credential tokens.

Geokeo Advanced Features

  • Seamless authentication management that eliminates the need for manual API key handling.
  • Intent-based action discovery that allows agents to find mapping tools using natural language.
  • Direct API proxying for advanced users who need to access niche Geokeo endpoints.
  • Support for headless server environments with robust authorization code workflows.
  • Transparent credential refreshing to ensure long-running automation tasks are never interrupted.

SKILL.md


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