timesfm-forecasting

What problem does it solve?

This Skill automates time series forecasting for any univariate data, eliminating the need to train custom models or tune classical statistical parameters.

Core Features & Use Cases

• Zero-Shot Forecasting: Predicts future values for sales, sensor readings, stock prices, or any other time series using Google's TimesFM foundation model.
• Probabilistic Forecasts: Provides calibrated prediction intervals (quantiles) for uncertainty estimation.
• System Requirements Check: Includes a mandatory preflight script to ensure your machine has sufficient RAM/GPU before loading the large model.
• Use Case: Forecast next year's monthly website traffic or predict upcoming energy demand based on historical patterns, all without model training.

Quick Start

Run the python script scripts/check_system.py to verify your machine's compatibility before using the forecasting model.