time-series-analysis
byleonardodalinky· 32 skills
Time series data analysis — stationarity testing, decomposition, autocorrelation, forecasting method selection, temporal cross-validation, and evaluation metrics (MAPE, RMSE, MASE). Use when working with sequential temporal data.
How to install time-series-analysis?
leonardodalinky/scider/time-series-analysis
$npx -y skills add leonardodalinky/scider --skill time-series-analysisInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/leonardodalinky/scider" --skill "leonardodalinky/scider/time-series-analysis"` 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/leonardodalinky/scider" that are relevant to the current task. Run `npx skills add "https://github.com/leonardodalinky/scider"` and select the relevant skills, then follow their instructions.
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