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.
- Version
- 1.2
- License
- Apache-2.0 license
Pinned to revision 70a605012eee, so it is the text this page describes rather than whatever the author pushed since.
Pre-approved tools experimental
Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.
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Files
- skills/timesfm-forecasting/SKILL.md
- skills/timesfm-forecasting/examples/anomaly-detection/detect_anomalies.py
- skills/timesfm-forecasting/examples/anomaly-detection/output/anomaly_detection.json
- skills/timesfm-forecasting/examples/anomaly-detection/output/anomaly_detection.png
- skills/timesfm-forecasting/examples/covariates-forecasting/demo_covariates.py
- skills/timesfm-forecasting/examples/covariates-forecasting/output/covariates_data.png
- skills/timesfm-forecasting/examples/covariates-forecasting/output/covariates_metadata.json
- skills/timesfm-forecasting/examples/covariates-forecasting/output/sales_with_covariates.csv
- skills/timesfm-forecasting/examples/global-temperature/README.md
- skills/timesfm-forecasting/examples/global-temperature/generate_animation_data.py
- skills/timesfm-forecasting/examples/global-temperature/generate_gif.py
- skills/timesfm-forecasting/examples/global-temperature/generate_html.py
- skills/timesfm-forecasting/examples/global-temperature/output/animation_data.json
- skills/timesfm-forecasting/examples/global-temperature/output/forecast_animation.gif
- skills/timesfm-forecasting/examples/global-temperature/output/forecast_output.csv
- skills/timesfm-forecasting/examples/global-temperature/output/forecast_output.json
- skills/timesfm-forecasting/examples/global-temperature/output/forecast_visualization.png
- skills/timesfm-forecasting/examples/global-temperature/output/interactive_forecast.html
- skills/timesfm-forecasting/examples/global-temperature/run_example.sh
- skills/timesfm-forecasting/examples/global-temperature/run_forecast.py
- skills/timesfm-forecasting/examples/global-temperature/temperature_anomaly.csv
- skills/timesfm-forecasting/examples/global-temperature/visualize_forecast.py
- skills/timesfm-forecasting/references/api_reference.md
- skills/timesfm-forecasting/references/data_preparation.md
- skills/timesfm-forecasting/references/examples_and_validation.md
- skills/timesfm-forecasting/references/output_and_config.md
- skills/timesfm-forecasting/references/performance_tuning.md
- skills/timesfm-forecasting/references/system_requirements.md
- skills/timesfm-forecasting/references/workflows.md
- skills/timesfm-forecasting/scripts/check_system.py
- skills/timesfm-forecasting/scripts/forecast_csv.py
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