timesfm-forecasting

Maintained by k-dense-ai

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

Current version: Unknown
License: Apache-2.0 license
Network access: Unknown / not assessed
Review status: Not verified

Problem it solves

This catalog entry helps users find and evaluate timesfm-forecasting for the task described by its available catalog summary. Confirm the exact scope in the linked original source when one is available.

When to use it

Consider timesfm-forecasting when its available catalog summary matches the task at hand. When available, review the linked original source before use for precise instructions, requirements, and limitations.

timesfm-forecasting is listed as an agent skill in RefHub. The listed maintainer is k-dense-ai. The available catalog summary is: 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 When available, review the linked original source for exact usage instructions, required tools, and limitations.

Installation and updates

These commands are displayed for copying only and are never executed on RefHub servers. Review the linked upstream source before running them.

Install command

npx skills add k-dense-ai/scientific-agent-skills --skill timesfm-forecasting -y

Agent compatibility

No compatibility test has been recorded

Do not assume agent compatibility until documented test evidence is available.