forecasting-time-series-data

5.2

104

145

Process this skill enables AI assistant to forecast future values based on historical time series data. it analyzes time-dependent data to identify trends, seasonality, and other patterns. use this skill when the user asks to predict future values of a time ser... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.

forecasting

5.2

Rating

Installs

Data & Analytics

Quick Review

The skill provides a reasonable foundation for time series forecasting with clear use cases and examples. The description covers basic capabilities (trend/seasonality analysis, model selection, prediction generation), though it could be more specific about input formats and parameters. Task knowledge appears adequate with referenced Python scripts (preprocess.py, forecast.py, evaluate.py) in the scripts/ directory that presumably contain implementation details. Structure is moderately clear but somewhat generic, with standard sections that don't deeply organize the multiple scripts and templates present. Novelty is moderate—while time series forecasting requires specialized knowledge (ARIMA, Prophet, evaluation metrics), many existing libraries and tools already simplify this task considerably, so the incremental value for a CLI agent is limited. The skill would benefit from more specific guidance on invocation parameters, data format requirements, and clearer integration points with the referenced scripts.