Individual skill

timesfm-forecasting

Performs zero-shot time-series forecasting with Google's TimesFM, including regular-grid CSV preparation, quantile forecasts, XReg covariates, and held-out evaluation. Uses the Apache-licensed TimesFM 2.5 checkpoint by default and documents the distinct TimesFM 3.0 multivariate API and weight-license requirements.

skills/timesfm-forecasting/SKILL.md

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# TimesFM Forecasting

## Choose the model/API first

The **Python package version is 3.0.2**; checkpoint versions are separate.

| Checkpoint | Interface | Quantile output | Usage terms |
| --- | --- | --- | --- |
| 2.5, 200M | `timesfm.TimesFM_2p5_200M_torch`, `compile`, `forecast` | mean + 9 deciles, median index 5 | Apache-2.0 weights; bundled CLI default |
| 3.0, about 330M | `timesfm3.TimesFM3Forecaster`, `predict` / `predict_batch` | 9 deciles, median index 4 | Downloaded weights restricted to non-commercial, non-production use |

Upstream identifies 3.0 as the latest model. This skill retains 2.5 as its default
local workflow because its Apache-licensed weights have different usage terms.
For 3.0 multivariate targets, past-only covariates or Apple MLX, read
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