A specialized AI agent skill for discovering, filtering, and planning visits to viral trending buffet restaurants.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install buffets
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 buffets using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Trending Buffet Guide is a sophisticated tool designed for the Openclaw Skills ecosystem, focusing on the high-growth niche of viral dining. It empowers AI agents to provide users with data-driven recommendations for trendy buffet restaurants, complete with real-time popularity metrics and logistical planning. By synthesizing user preferences like budget, location, and taste with live feedback, it ensures a seamless dining discovery experience.
This skill goes beyond simple listings by offering strategic route planning and 'pitfall prevention' advice. It is engineered to help users navigate the complexities of high-demand dining spots, making Openclaw Skills an essential companion for food enthusiasts and travel planners seeking the most 'Instagrammable' and high-value culinary experiences.
To integrate this capability into your AI environment via Openclaw Skills, use the following configuration:
# Install the Openclaw CLI if you haven't already
npm install -g @openclaw/cli
# Add the Trending Buffet Guide skill to your agent
openclaw add skill trending-buffet-guide
# Verify installation
openclaw list
The skill utilizes a structured data return format to ensure consistency across different platforms:
| Field | Description | Example |
|---|---|---|
| Store Name | The official name of the buffet | Starry Seafood Buffet |
| Highlights | Signature dishes or unique atmosphere | Unlimited Wagyu, Cyberpunk Decor |
| Price Point | Average cost per person | 78 RMB |
| Logistics | Address, hours, and reservation methods | WeChat Mini-program Booking |
| Real-time Data | Current heat level and best visit times | High heat; Visit at 4:30 PM |
| Route Advice | Proximity to transit and other spots | 5min walk from Exit B |
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