alterlab-timesfm

What problem does it solve?

This Skill enables zero-training, zero-shot forecasting for univariate time series using Google's TimesFM, delivering both point forecasts and calibrated quantile intervals to support proactive decision-making.

Core Features & Use Cases

• Zero-shot forecasting for any univariate time series (sales, sensors, energy, vitals, weather) without training a custom model.
• Probabilistic outputs with calibrated prediction intervals to quantify uncertainty.
• Preflight system checker to verify RAM, GPU availability, and disk space before loading the model.

Quick Start

Run the preflight check and then load TimesFM to forecast your time series with a prepared input.