Nearby Bookshops

What This Skill Does

The Nearby Bookshops skill is a specialized geographical query agent designed for OpenClaw. It leverages location-based data services to identify, filter, and return high-quality bookshops in the vicinity of the user. By standardizing the search protocol, it ensures that results are consistent with the OpenClaw standard POI format, making it highly reliable for UI rendering and downstream processing. The skill supports advanced filtering options, such as searching for used bookstores or checking current store operating hours, providing a personalized discovery experience for bibliophiles.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/clawkk/bookshops Ensure you have the latest version of the ClawHub CLI installed to manage repository dependencies effectively.

Use Cases

• Urban Discovery: Helping users find quiet reading corners or independent bookshops while commuting or traveling in a new city.
• Specialty Shopping: Locating rare book archives, secondhand shops, or specialized academic bookstores using the keywords filter.
• Logistics & Planning: Planning a reading tour or a study session by filtering for stores that are currently open and have high ratings.
• Local Business Support: Encouraging local engagement by surfacing community-focused bookshops that might not appear in mainstream retail searches.

Example Prompts

1. "Find some highly-rated bookstores near my current location that are open right now."
2. "Show me if there are any shops selling used books within 3 kilometers of my location."
3. "Are there any quiet independent bookshops nearby that I could visit this afternoon?"

Tips & Limitations

• Data Privacy: The skill respects user privacy by design. It is recommended to perform grid-based blurring on coordinates before external API requests to prevent precise tracking. Always ensure location permissions are granted by the user before invoking the skill.
• Performance: To optimize API usage and reduce latency, the skill employs short-term caching for identical location-radius queries. Excessive polling should be avoided to respect provider rate limits.
• Error Handling: Be prepared to handle INVALID_LOCATION or PROVIDER_UNAVAILABLE errors gracefully within your application logic. Always validate input coordinates against standard global bounds before dispatching requests. The maximum limit for results is capped at 50 to maintain performance efficiency.