momentum-peaks
CommunityPredict demand and optimize staffing.
Data & Analytics#demand forecasting#sales prediction#seasonal analysis#staffing optimization#restaurant operations#二十四節気
Authorwearemssatoshi
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill solves the problem of inaccurate sales and demand forecasting by providing a data-driven approach to predict optimal staffing levels, moving beyond intuition and simple historical averages.
Core Features & Use Cases
- Demand Forecasting: Calculates a "Momentum Peaks Point" using a multi-layered model that considers seasonality, day of the week, historical performance, and unique Japanese seasonal events (二十四節気).
- Staffing Optimization: Recommends ideal staff numbers based on predicted demand intensity, ensuring adequate coverage during peak times and efficiency during lulls.
- Use Case: A restaurant manager can input sales data and the date to get a precise demand score and recommended number of staff for the evening shift, preventing understaffing during busy periods and overstaffing during slow times.
Quick Start
Use the momentum-peaks skill to calculate the demand forecast and recommended staff for December 19th, 2026 at the Moiwayama location.
Dependency Matrix
Required Modules
pandasnumpy
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: momentum-peaks Download link: https://github.com/wearemssatoshi/talent-intelligence-calculator2/archive/main.zip#momentum-peaks Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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