A comprehensive data-driven analyst skill for optimizing restaurant menu engineering, staffing, and financial performance.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install afrexai-restaurant-ops
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 afrexai-restaurant-ops using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Restaurant Operations Intelligence is a specialized analytical framework designed to transform raw restaurant data into actionable operational strategies. As a key component of Openclaw Skills, this tool provides owners and managers with the precise benchmarks needed to evaluate concept-specific food costs, labor targets, and prime cost percentages across diverse categories like fine dining, QSR, and ghost kitchens.
By leveraging this skill, developers and operators can automate the analysis of menu profitability, staffing requirements, and seasonal revenue patterns. It moves beyond generic business advice by offering hard numbers and matrices, such as the Menu Engineering Matrix and Revenue Per Square Foot benchmarks, ensuring every operational decision is backed by industry-standard intelligence.
To integrate this capability into your workflow using the Openclaw Skills ecosystem, follow these steps:
# Install the Openclaw CLI if you haven't already
npm install -g @openclaw/cli
# Add the Restaurant Operations skill to your active agent profile
openclaw install restaurant-ops-intelligence
# Verify the installation and load the reference matrices
openclaw skill-test restaurant-ops-intelligence
The skill organizes operational data into specialized tables for quick reference and automated calculations:
| Data Group | Key Metrics Tracked |
|---|---|
| Menu Matrix | Food Cost %, Menu Mix %, and actionable strategy (Promote/Replace). |
| Concept Benchmarks | Target Food, Labor, and Prime costs for 9+ restaurant types. |
| Staffing Models | Hourly counts for FOH and BOH based on peak/off-peak logic. |
| KPI Framework | RevPASH, Table turn time, Average check size, and Break-even points. |
| Market Dynamics | Seasonal indices (100 = avg) and delivery platform commission comparisons. |
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