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The Time Series Forecaster skill empowers Claude to perform sophisticated predictive modeling on time-dependent datasets. By automatically analyzing historical data for trends, seasonality, and autocorrelation, it selects the most appropriate forecasting models—such as ARIMA or Prophet—to generate future projections and confidence intervals. This skill is ideal for developers and data analysts who need to transform raw temporal data into actionable insights for sales projections, resource planning, or market analysis directly within their coding environment.