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Anomaly detection in data v1.0.0

Use this resource to spot abnormal values in data or metrics

New

  • 463 downloads
  • 131 likes
  • 234 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install anomaly-detection-metrics

With 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 login

The agent follows general instructions to detect anomalies in data series, covering method, examples and output format. The skill is brief, so state the metric and the reference period before running the analysis.

Mostly picked by

Updated November 2, 2026

Card for the “Anomaly detection in data” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: step-by-step instructions and good practices
  • SKILL.md: examples, prerequisites and output format

Good fit for

  • A metric drops or spikes for no apparent reason
  • You want to monitor metrics without watching every chart

Not for

    Tags

    • anomalies
    • metrics
    • data
    • monitoring

    About

    You say

    “Find anomalies in our daily orders over the last 90 days.”

    Card for the “Anomaly detection in data” skill

    Skill published by Jeremy Longshore <jeremy@intentsolutions.io> under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to spot abnormal values in data or metrics
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md2.2 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/12-data-analytics/anomaly-detector
    Licence
    MIT

    Notice

    « anomaly-detector » (Jeremy Longshore <jeremy@intentsolutions.io>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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