A specialized AI skill providing curated recommendations, real-time queue data, and optimized travel routes for trending BBQ destinations.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install bbq
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 bbq using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Trending BBQ Guide is a high-performance module designed for Openclaw Skills that transforms how users discover and experience popular barbecue spots. By analyzing multi-dimensional data such as location, budget, and real-time popularity, this skill offers more than just a list of restaurants; it provides a comprehensive tactical plan for diners. Whether you are looking for spicy authentic skewers in Chongqing or queue-free options in Guangzhou, this skill leverages advanced filtering to match your specific palate and logistical needs.
Built for the modern explorer, the skill focuses on data-driven discovery. It synthesizes user feedback and trend cycles to ensure that recommendations remain fresh and accurate. By integrating accessibility features and family-friendly filters, Trending BBQ Guide ensures that the search for the perfect meal is inclusive and efficient, making it an essential addition to any AI agent's travel and lifestyle toolkit.
To integrate this skill into your environment, use the following commands via the Openclaw Skills CLI:
# Install the Trending BBQ Guide skill
openclaw install skill-trending-bbq
# Configure local preferences for your agent
openclaw configure skill-trending-bbq --default-city "Chongqing" --units "CNY"
The skill organizes dining data into a structured taxonomy for precise retrieval:
| Feature | Details |
|---|---|
| Core Fields | Shop name, signature dishes, average cost per person, star rating. |
| Logistics | Address, business hours, reservation methods, delivery availability. |
| Metadata | Real-time heat index, crowd density alerts, accessibility tags. |
| Route Data | Transit connections, walking distance between hubs, weather contingency plans. |
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