A comprehensive skill for AI agents to build, manage, and automate interactive web maps and geospatial data visualization.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openlayer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install openlayer 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 Openlayer Integration?
The Openlayer skill provides a robust interface for AI agents to interact with the Openlayer JavaScript library, specifically designed for creating dynamic and interactive web maps. By utilizing Openclaw Skills within the Membrane ecosystem, developers can empower their agents to handle complex geospatial data structures, manage map layers, and automate record management without the friction of manual authentication. This skill is essential for projects that require programmatic control over map rendering, styling, and data sourcing in web applications.
Built to optimize developer productivity, this integration abstracts the complexity of API auth plumbing, allowing agents to focus on high-level logic and data manipulation. Whether you are embedding maps into existing sites or building standalone mapping tools, this skill ensures your agent can query and execute actions across the Openlayer ecosystem with high reliability.
Openlayer Integration Use Cases
- Creating interactive web maps for geospatial data visualization using Openclaw Skills.
- Automating the management of map layers and styles through AI-driven commands.
- Embedding live mapping data into web applications with real-time updates.
- Programmatically syncing geospatial records between Openlayer and external databases.
How Openlayer Integration Works
- Initialize the environment by installing the Membrane CLI to facilitate communication between the agent and Openclaw Skills.
- Authenticate the session using the login command, which establishes secure, server-side credential management.
- Establish a connection to the Openlayer domain, which triggers the automated auth lifecycle including OAuth or API key handling.
- Search for specific mapping actions (like adding layers or querying sources) using natural language intents.
- Execute the desired actions or perform direct API proxy requests to manipulate geospatial data and map components.
- Receive and process structured JSON outputs to inform the next steps in the AI agent's workflow.
Openlayer Integration Setup
To get started with Openlayer in your Openclaw Skills environment, first install the global CLI:
npm install -g @membranehq/cli@latest
Next, authenticate your agent (specify openclaw as the client name):
membrane login --tenant --clientName=openclaw
Finally, ensure a connection is established for the Openlayer service:
membrane connection ensure "https://www.openlayer.com/" --json
Openlayer Integration Data Schema & Taxonomy
The Openlayer skill organizes geospatial components into a clear hierarchy. Data returned via Openclaw Skills typically follows this structure:
| Component | Description |
|---|---|
| Map | The primary container for the interactive map instance. |
| Layer | Contains specific datasets or visual overlays (e.g., Tile, Vector). |
| Style | Defines the visual appearance of features on a map. |
| Source | The data origin, such as OpenStreetMap, Bing Maps, or custom GeoJSON. |
| Action Schema | Input and output parameters defined for each programmatic interaction. |
Openlayer Integration Advanced Features
- Transparent credential refresh ensuring long-running Openclaw Skills sessions never expire.
- Natural language action discovery to find the right mapping tool without scanning documentation.
- Direct API proxying for advanced users who need to call specific Openlayer endpoints not covered by standard actions.
- Multi-agent support compatible with Claude, Windsurf, and other high-performance AI environments.
- Automated connection polling to handle interactive authentication flows in headless environments.
SKILL.md
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