Summary
- Build ARIMA models for time series forecasting with trend and seasonality decomposition.
- Use this skill when the user needs to forecast future values from historical sequential data, test for stationarity, or select ARIMA parameters — even if they say 'time series forecast', 'predict next month sales', or 'ARIMA model'.