Build a personalized restaurant tracking system to catalog dining memories, favorite spots, and wishlist locations.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install restaurants
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 restaurants 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 Restaurants?
The Restaurants skill is designed to turn your AI agent into a sophisticated culinary concierge that manages a local database of your dining preferences. By leveraging Openclaw Skills, this tool moves beyond generic AI suggestions to provide recommendations based on your actual history, wishlist, and specific tastes. It creates a structured workspace on your local machine to ensure your restaurant data remains private, organized, and easily accessible.
Whether you are documenting a high-end anniversary dinner or saving a quick lunch spot recommended by a friend, this skill ensures no culinary detail is lost. It uses a clean Markdown-based architecture, allowing you to maintain a comprehensive log of locations, cuisines, price ranges, and standout dishes without the need for complex database software.
Restaurants Use Cases
- Saving a friend's recommendation into a structured to-try list for future reference.
- Documenting a detailed dining experience, including specific orders and service ratings, immediately after a meal.
- Organizing a curated list of go-to spots for specific occasions like date nights or business lunches.
- Querying your agent for personalized dinner suggestions that prioritize your saved favorites over general search results.
How Restaurants Works
- The agent identifies restaurant names or dining experiences within your conversation and prompts to save the data.
- Information is stored as individual Markdown files within a dedicated workspace at
~/restaurants/. - The skill organizes entries into sub-directories based on status: to-try, favorites, or visited.
- Metadata such as cuisine type, price range, and occasion is extracted to build organized index files.
- When asked for recommendations, the agent scans these local files first to provide a deeply personalized response based on Openclaw Skills logic.
Restaurants Setup
To get started with the Restaurants skill, ensure your agent has permission to manage files in your home directory. You can initialize the necessary workspace by running:
mkdir -p ~/restaurants/{to-try,favorites,visited,by-cuisine,by-occasion}
Once the directories are created, simply mention a restaurant name to your agent to begin populating your personal dining database.
Restaurants Data Schema & Taxonomy
The skill utilizes a hierarchical file structure for clear data organization. Each entry is a Markdown file containing specific frontmatter-style headers:
| Directory | File Type | Key Data Fields |
|---|---|---|
~/restaurants/to-try/ |
Wishlist | Location, Cuisine, Source, Price Range, Reservation Notes |
~/restaurants/visited/ |
Log | Date, Occasion, Order Details, Verdict (Rating) |
~/restaurants/favorites/ |
Highlights | Go-To Order, Best For, Operational Notes |
~/restaurants/by-cuisine/ |
Index | Thematic lists linking to specific restaurant files |
Restaurants Advanced Features
- Local-first recommendation engine that prioritizes your personal history over external data sources.
- Progressive profile building that tracks your taste evolution through yearly visited archives.
- Automated occasion-based grouping to simplify planning for events like date nights or quick lunches.
- Structured template enforcement for consistent dining reviews and high-quality data retrieval.
SKILL.md
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