A powerful geocoding skill that enables AI agents to perform forward and reverse geocoding via the OpenCage API using the Membrane framework.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install opencage
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 opencage using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The OpenCage geocoding skill for Openclaw Skills provides a seamless way for AI agents to interact with geographic data. By leveraging the OpenCage API, this skill allows for the conversion of geographic coordinates into human-readable places (reverse geocoding) and addresses into latitude and longitude (forward geocoding). It is designed to empower developers to add location awareness to their applications without the overhead of complex mapping logic.
Built on top of the Membrane protocol, this skill abstracts away the complexities of authentication and credential management. Whether you are building a logistics bot, a weather assistant, or a local search tool, this integration ensures that your agent can fetch high-precision location data securely and efficiently.
To get started with OpenCage and Openclaw Skills, install the Membrane CLI and authenticate your environment:
npm install -g @membranehq/cli@latest
membrane login --tenant --clientName=openclaw
Ensure a connection to the OpenCage service:
membrane connection ensure "https://opencagedata.com" --json
If the connection state is BUILDING, wait for it to become READY:
npx @membranehq/cli connection get <id> --wait --json
The skill returns structured geographic data organized into Results and Geocoding objects. Below is the general structure of the data returned from an OpenCage query:
| Field | Description |
|---|---|
formatted |
The full human-readable address string |
geometry |
Object containing lat and lng coordinates |
components |
Breakdown of the address (city, country, postcode, etc.) |
confidence |
A numeric score (1-10) representing the accuracy of the match |
annotations |
Metadata such as timezone, currency, and what3words address |
membrane request to call any specific OpenCage endpoint not covered by standard actions.Loading
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