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- Claude Code
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Use this resource to detect anomalies in multivariate time series with Kumo-Anomaly
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Free
In a terminal, from the folder you want:
npx --yes palatekit@latest install kumo-anomaly-timeseries-detectionWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent prepares inference on your CSV files or on synthetic data, fine-tunes the model on your normal operating data and sets up score thresholding. You get results with the anomaly flag, the mean absolute error and your original columns.
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Updated November 2, 2026
You say
“Detect the anomalies in my sensor CSV file with Kumo-Anomaly.”

Skill published by nvidia under the Apache-2.0 license, delivered in its original version.
Listed unmodified
« tao-finetune-kumo-anomaly » (nvidia, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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