time-series-analyzer

# Time Series Analyzer Skill ## Purpose Analyze time series data for trends, seasonality, and patterns, and generate forecasts using appropriate methods. ## Capabilities - Decompose time series - Identify patterns - Fit ARIMA models - Generate forecasts - Assess stationarity - Evaluate accuracy ## Usage Guidelines 1. Prepare time series 2. Assess stationarity 3. Identify patterns 4. Select model 5. Generate forecasts 6. Evaluate accuracy ## Process Integration Works within scientific discovery workflows for: - Trend analysis - Forecasting - Pattern detection - Temporal modeling ## Configuration - Model selection - Forecast horizons - Decomposition methods - Accuracy metrics ## Output Artifacts - Decomposition plots - Model diagnostics - Forecast results - Accuracy reports