A location-intelligent skill for finding bookshops, second-hand stores, and reading spaces near a user's current coordinates.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install bookshops
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 bookshops using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Nearby Bookshops is a specialized tool designed for the Openclaw Skills ecosystem that enables AI agents to locate physical book retail locations and reading environments. It leverages geolocation data to provide users with a curated list of bookshops, ensuring that the results are relevant to their immediate physical context.
By unifying query behavior and response fields, this skill allows for seamless integration into frontend interfaces and API workflows. Whether a user is looking for a general bookstore, a niche second-hand shop, or a quiet space to read, this skill provides accurate Points of Interest (POI) data with customizable search parameters.
To integrate Nearby Bookshops into your environment, ensure you have the Openclaw Skills CLI installed and configure your location provider credentials.
# Install the skill via the Openclaw registry
openclaw install nearby-bookshops
# Configure your location provider API key
openclaw config set LOCATION_PROVIDER_KEY=your_api_key_here
The skill utilizes a structured input/output format to ensure consistency across the Openclaw Skills ecosystem.
| Parameter | Type | Description | Required |
|---|---|---|---|
| location | object | Coordinates containing { lat, lng } | Yes |
| radius_meters | integer | Search radius (default: 3000m) | No |
| limit | integer | Max results (default: 20, max: 50) | No |
| filters | object | Criteria like open_now, min_rating, or keywords | No |
All successful responses follow the STANDARD_RESPONSE.md format with the category field fixed as "bookshops".
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