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genpark-seasonal-trend-decomposition-stl-skill

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SUMMARY

Classical additive time-series decomposition separating trend, seasonal pattern, and residuals

README.md

genpark-seasonal-trend-decomposition-stl-skill

Agent Skill implementing Classical Additive Time-Series Decomposition isolating centered moving average Trend ($T_t$), Periodic Seasonality ($S_t$), and Irregular Residuals ($R_t$).

Architectural Overview

flowchart TD
    Series["Time Series Y_t"] --> Trend["Centered Moving Average Trend T_t"]
    Series & Trend --> Detrend["Detrended Series: Y_t - T_t"]
    Detrend --> Seasonal["Average Seasonality S_t (Zero-Centered)"]
    Series & Trend & Seasonal --> Residual["Residual Noise: R_t = Y_t - T_t - S_t"]

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