A location intelligence skill that enables AI agents to visualize and analyze geospatial data for smarter business decision-making.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install geokeo
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
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).
Get the raw skill files in a ZIP archive.
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.
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
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. |
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