> ## Documentation Index
> Fetch the complete documentation index at: https://kalarislabs.com/llms.txt
> Use this file to discover all available pages before exploring further.

# timesfm-forecasting — AI agent skill for data science and ml

> Zero-shot time series forecasting with Google's TimesFM foundation model.

# `timesfm-forecasting`

> Zero-shot time series forecasting with Google's TimesFM foundation model. Use for any univariate time series (sales, sensors, energy, vitals, weather) without training a custom model. Supports CSV/DataFrame/array inputs with point forecasts and prediction intervals. Includes a preflight system checker script to verify RAM/GPU before first use.

**Category:** [data-science-and-ml](/skills#data-science-and-ml) · **License:** Apache-2.0 license · **Version:** 1.2

## Install

```bash theme={null}
npx research-agent-skills install timesfm-forecasting
npx skills add KalarisLabs/research-agent-skills --skill timesfm-forecasting
```

## When to use it

Zero-shot time series forecasting with Google's TimesFM foundation model. Use for any univariate time series (sales, sensors, energy, vitals, weather) without training a custom model. Supports CSV/DataFrame/array inputs with point forecasts and prediction intervals. Includes a preflight system checker script to verify RAM/GPU before first use.

## Full playbook

Read [SKILL.md](https://github.com/KalarisLabs/research-agent-skills/blob/main/skills/timesfm-forecasting/SKILL.md) for the complete workflow, references and any scripts. The agent installer copies the full skill folder.