Forecasting models and the ts_forecast_by API surface of the anofox_forecast DuckDB extension. Covers 33 models (baseline, exponential smoothing, state-space, ARIMA, Theta, multi-seasonal, intermittent-demand, distributional Laplace with three variants), parameter surfaces (MAP + STRUCT), model selection guidance, and common workflow gotchas. Use when picking a model or writing ts_forecast_by / ts_forecast_agg calls.
$npx -y skills add datazoode/anofox-forecast --skill anofox-forecast-modelsInstalls into the current project.
Run `npx skills use "https://github.com/datazoode/anofox-forecast" --skill "datazoode/anofox-forecast/anofox-forecast-models"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/datazoode/anofox-forecast" that are relevant to the current task. Run `npx skills add "https://github.com/datazoode/anofox-forecast"` and select the relevant skills, then follow their instructions.