A specialized tool for AI agents to retrieve geolocated camping sites, RV parks, and outdoor campgrounds based on precise coordinates.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install camping-sites
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 camping-sites 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 Camping Sites?
The Nearby Camping Sites skill is a robust location-based tool designed for the Openclaw Skills ecosystem. It enables AI agents to provide users with accurate, real-time lists of camping sites near their current location or a specified city. By standardizing the retrieval of Point of Interest (POI) data for the outdoor industry, it simplifies the process of trip planning and campsite discovery.
This skill serves as a bridge between raw geolocation data and actionable travel recommendations. It ensures that developers can provide consistent response formats while handling complex queries involving search radii and specific filters like opening hours or minimum ratings, making it a cornerstone for travel-oriented AI applications within Openclaw Skills.
Nearby Camping Sites Use Cases
- Helping users find immediate camping options by responding to queries like camping near me.
- Assisting travelers in planning road trips by identifying RV parks near specific stopover coordinates.
- Powering outdoor discovery apps with filtered searches for highly-rated campsites.
- Integrating location-based campground data into travel concierge AI agents.
How Nearby Camping Sites Works
- The AI agent detects a camping-related intent and extracts the user's location coordinates (latitude and longitude).
- The agent invokes the Nearby Camping Sites skill, passing mandatory location parameters and optional filters like radius or result limits.
- The skill queries validated data providers to find matching POIs categorized as camping-sites.
- The skill applies privacy measures, such as coordinate blurring if required, and formats the data into a standard response schema.
- The agent receives a structured list of nearby campsites to present to the end-user.
Nearby Camping Sites Setup
To integrate this skill into your project using Openclaw Skills, ensure you have the necessary environment configured. You can initialize the skill context within your agent's directory:
# Install the Openclaw CLI if not already present
npm install -g @openclaw/cli
# Add the nearby-camping-sites skill to your configuration
openclaw add nearby-camping-sites
Ensure that the agent has permission to access user location data, as the location parameter is mandatory for operation.
Nearby Camping Sites Data Schema & Taxonomy
The skill utilizes a standardized input and output format to ensure interoperability. Below are the primary data structures used within Openclaw Skills:
Input Parameters
| Parameter | Type | Description | Required |
|---|---|---|---|
location |
Object | JSON object containing { lat, lng } |
Yes |
radius_meters |
Integer | Search radius (default: 8000m) | No |
limit |
Integer | Max results (default: 20, max: 50) | No |
filters |
Object | Criteria like open_now or min_rating |
No |
Output Format
The response follows the STANDARD_RESPONSE.md schema, categorized strictly under camping-sites for easy filtering in frontend interfaces.
Nearby Camping Sites Advanced Features
- Multi-parameter filtering allows users to find campsites that are currently open or meet specific quality thresholds.
- Built-in privacy protection that can perform grid-based blurring of precise coordinates when necessary.
- Intelligent caching mechanism designed to reduce API load for repeated queries within the same location and radius.
- Standardized error handling for scenarios such as invalid locations, rate limiting, or provider unavailability.
SKILL.md
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