A comprehensive integration for the Toast POS system allowing AI agents to manage restaurant orders, menus, and staff operations.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install toast
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 toast using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Toast skill provides a streamlined interface for interacting with one of the most popular restaurant Point of Sale (POS) systems. By integrating this capability into the Openclaw Skills ecosystem, developers and restaurant owners can programmatically access critical business data ranging from real-time order tracking to detailed menu hierarchies. This tool is designed to bridge the gap between restaurant operations and automated AI workflows, enabling sophisticated data retrieval without complex manual overhead.
With support for Python 3.10 and a dependency-free architecture, this skill ensures high performance and easy portability. It allows Openclaw Skills users to extract structured JSON data regarding employees, revenue centers, tables, and dining options, making it an essential utility for modern restaurant management and automated reporting.
To get started with this skill, ensure you have your Toast credentials ready. Set the following environment variables in your terminal:
export TOAST_API_KEY="your_api_key"
export TOAST_RESTAURANT_GUID="your_restaurant_guid"
You can then run specific commands using the provided script:
# Example: List recent orders
python3 scripts/toast.py list-orders --start-date "2023-10-01" --end-date "2023-10-07"
The skill organizes restaurant data into logical modules to ensure compatibility with Openclaw Skills workflows:
| Module | Data Provided | Common Fields |
|---|---|---|
| Orders | Transactional history | Order ID, timestamp, total amount |
| Menus | Product catalogs | Menu names, item IDs, pricing |
| Employees | Staff directory | Employee GUID, name, role details |
| Venue | Physical layout | Table numbers, revenue centers, dining options |
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