TimesFM Forecasting skill: what it does and how to install it
Performs zero-shot time-series forecasting with Google's TimesFM, preparing regular-grid CSVs, producing quantile forecasts and evaluating held-out predictions.
Summary generated from the skill's documentation.
Install
$ npx skills add K-Dense-AI/scientific-agent-skills --skill timesfm-forecastingRun it in a terminal. If your agent is already running, start a new session so it picks the skill up.
About this skill
What it does. Uses Google's TimesFM to validate regular-grid time-series data, load the Apache-licensed 2.5 checkpoint and produce point and quantile forecasts. It supports CSV export with metadata, optional XReg covariates and rolling-origin evaluation with baselines and interval metrics.
When to use it. For zero-shot forecasting of ordered temporal targets without task-specific training. It is not intended for causal effect estimation, clinical detection or physics-based climate modelling; TimesFM 3.0 has separate API and weight-licence requirements.
History
Repo stars
47.7kAbout +18.9k since 9 Jul 2026
Before 1 Oct 2026 the curve is estimated from public event data.
Stars are counted for the whole repository, which holds 74 skills.
Show as a table
| Date | Repo stars |
|---|---|
| 5 Oct 2026 | 47,652 |
| 4 Oct 2026 | 47,541 |
| 3 Oct 2026 | 47,444 |
| 2 Oct 2026 | 47,351 |
| 1 Oct 2026 | 47,271 |
| 24 Sept 2026 (estimated) | 46,976 |
| 17 Sept 2026 (estimated) | 46,257 |
| 10 Sept 2026 (estimated) | 41,836 |
| 3 Sept 2026 (estimated) | 30,545 |
| 27 Aug 2026 (estimated) | 29,347 |
| 20 Aug 2026 (estimated) | 29,160 |
| 13 Aug 2026 (estimated) | 29,027 |
| 6 Aug 2026 (estimated) | 28,947 |
| 30 Jul 2026 (estimated) | 28,894 |
| 23 Jul 2026 (estimated) | 28,894 |
| 16 Jul 2026 (estimated) | 28,841 |
| 9 Jul 2026 (estimated) | 28,708 |
Installs
1.7k
Tracking since . A chart appears once there are 7 days of data.
Installs via skills.sh
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