A geolocation-based skill that enables AI agents to find nearby coffee shops with customizable filters and standardized responses.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cafes
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 cafes 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 Cafes?
Nearby Cafes is a specialized capability designed for developers building location-aware applications. This skill allows an AI agent to identify coffee shops based on a user's current coordinates, offering a robust way to integrate real-world POI data into the Openclaw Skills framework. It focuses on delivering consistent data structures, making it easy to display cafe details like ratings and seating availability.
The skill emphasizes developer efficiency by providing a unified interface for location queries. Whether you are building a travel assistant or a simple productivity tool, Nearby Cafes handles the complexities of spatial search and data normalization, ensuring that your agent provides accurate and relevant information every time.
Nearby Cafes Use Cases
- Locating the nearest specialty coffee shops during a commute or travel.
- Filtering for high-rated cafes with available seating for remote work.
- Building automated local guides that suggest caffeine stops based on user proximity.
- Integrating location-aware services into a broader suite of Openclaw Skills.
How Nearby Cafes Works
- Trigger the skill using natural language prompts such as 'coffee near me' or 'find nearby cafes'.
- The skill extracts or requests the mandatory latitude and longitude coordinates from the user's context.
- The system applies optional parameters like search radius (in meters) and result limits to the query.
- It fetches data from the integrated POI provider while applying privacy-focused grid blurring if required.
- The skill returns a standardized response containing a list of cafes formatted for immediate display or further processing.
Nearby Cafes Setup
To implement Nearby Cafes within your Openclaw Skills setup, ensure your environment has the necessary location permissions and API configurations.
# Initialize the skill within your agent environment
openclaw install nearby-cafes
# Configure default search parameters
export CAFE_SEARCH_RADIUS=2000
export CAFE_RESULT_LIMIT=20
Ensure that the location input is provided in a valid lat/lng object format to avoid the INVALID_LOCATION error.
Nearby Cafes Data Schema & Taxonomy
The skill utilizes a structured input and output schema to maintain consistency across the Openclaw Skills ecosystem.
| Parameter | Requirement | Description |
|---|---|---|
| location | Required | An object containing lat and lng coordinates |
| radius_meters | Optional | Search radius in meters (Default: 2000) |
| limit | Optional | Maximum number of results (Default: 20, Max: 50) |
| filters | Optional | Criteria for chain status, ratings, or seating |
| error_codes | N/A | Includes INVALID_LOCATION, RADIUS_TOO_LARGE, and RATE_LIMITED |
Nearby Cafes Advanced Features
- Privacy-first grid-based location blurring to protect precise user coordinates while maintaining search relevance.
- Intelligent rate limiting and error handling for robust production-grade deployment.
- Support for advanced filtering logic to distinguish between chain cafes and independent shops.
- Standardized response formatting allowing for seamless data flow between different Openclaw Skills.
SKILL.md
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