About
The Time Series Decomposer skill equips Claude with specialized knowledge to perform rigorous temporal data analysis. It guides users through the process of breaking down complex time-series data into its fundamental components: trend, seasonality, and noise (residuals). Whether you are analyzing financial markets, retail trends, or system logs, this skill provides production-ready code implementations for additive and multiplicative models, recommends optimal window sizes, and helps generate clear visualizations to communicate underlying data patterns. It is an essential tool for data scientists and analysts who need to isolate specific variables within historical datasets for forecasting or business intelligence.
