---
title: "Google Research (@google-research) skills · skilld"
canonical_url: "https://skilld.dev/gh/google-research"
meta:
  description: "1 agent skill published by Google Research on skilld."
  "og:description": "1 agent skills published by Google Research."
  "og:title": "Google Research on skilld"
---

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![Avatar for Google Research](https://skilld.dev/_img/avatar?url=https%3A%2F%2Fgithub.com%2Fgoogle-research.png)

# **Google Research**

[@google-research](https://github.com/google-research)org

1 skill 34k Earth Synced 3 days ago

[GitHub](https://github.com/google-research) [Website](https://research.google)

## Skills

### [google-research/timesfm](https://skilld.dev/gh/google-research/timesfm)

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

1 skill 34k

`npx skilld add google-research/timesfm`

- [

  **/timesfm-forecasting**34k

  Zero-shot time series forecasting with Google's TimesFM foundation model. Use this skill when forecasting ANY univariate time series — sales, sensor readings, stock prices, energy demand, patient vitals, weather, or scientific measurements — without training a custom model. Supports both basic forecasting and advanced covariate forecasting (XReg) with dynamic and static exogenous variables. Automatically checks system RAM/GPU before loading the model, validates dataset fit before processing, supports CSV/DataFrame/array inputs, and returns point forecasts with calibrated prediction intervals. Includes a preflight system checker script that MUST be run before first use to verify the machine can load the model and handle your specific dataset. /timesfm-forecasting by google-research](https://skilld.dev/gh/google-research/timesfm)

Skills published by Google Research. Checked GitHub just now