An automated geolocation skill designed to find and list parking facilities within a specified radius of a user's current coordinates.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install car-parks
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 car-parks 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 Nearby Car Parks?
The Nearby Car Parks skill is a specialized utility within the Openclaw Skills ecosystem that streamlines the process of locating parking facilities. It serves as a bridge between user geolocation data and parking provider databases, offering a unified interface for developers to retrieve structured Point of Interest (POI) data. By abstracting the complexity of various parking data providers, it ensures that AI agents can provide immediate, actionable travel assistance.
This skill is built with a focus on standardization and privacy. It transforms raw geographical coordinates into a curated list of nearby parking options, including essential metadata like distance and capacity. It is an essential component for any transit-oriented AI agent or local discovery service utilizing Openclaw Skills.
Nearby Car Parks Use Cases
- Providing real-time parking suggestions for users on the go.
- Integrating automated parking discovery into travel planning AI agents.
- Building smart dashboard widgets that display nearby parking availability based on current GPS location.
- Filtering parking options based on specific user requirements like price or indoor/outdoor facilities.
How Nearby Car Parks Works
- The user triggers the skill by asking for parking near me or similar intent-based queries.
- The system captures the user's geolocation (latitude and longitude) with explicit authorization.
- The skill processes the input parameters, including the search radius (defaulting to 3000m) and result limits.
- It queries integrated parking data providers using the processed coordinates.
- The results are normalized into a standard POI response format.
- The AI agent presents the list of car parks to the user, ensuring precision and relevance.
Nearby Car Parks Setup
To integrate this skill into your local environment, ensure your Openclaw Skills configuration is updated to include the car-parks category.
# Install the Openclaw CLI if not already present
npm install -g @openclaw/cli
# Add the Nearby Car Parks skill to your agent profile
openclaw add skill nearby-car-parks
# Verify your API provider credentials for geolocation services
openclaw verify-config
Nearby Car Parks Data Schema & Taxonomy
The skill follows a strict data contract to ensure compatibility across different interfaces. Below are the primary input and output specifications.
| Parameter | Type | Description | Default |
|---|---|---|---|
location |
Object | Coordinates { lat, lng } |
Required |
radius_meters |
Number | Search radius in meters | 3000 |
limit |
Number | Maximum number of results (Max 50) | 20 |
filters |
Object | Optional criteria (availability, price, etc.) | N/A |
All successful responses return a category: "car-parks" field and follow the STANDARD_RESPONSE.md schema for POI data.
Nearby Car Parks Advanced Features
- Geofencing support for automatic parking alerts when entering defined zones.
- Privacy-preserving grid blurring for coordinate obfuscation in sensitive environments.
- Multi-provider fallback logic to ensure high availability even if one data source is offline.
- Custom filtering support for specific parking attributes like electric vehicle charging or underground facilities.
SKILL.md
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