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Anomaly detection in construction data v1.0.0

Use this resource to detect anomalies in costs, schedules and productivity

New

  • 591 downloads
  • 232 likes
  • 175 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install data-anomaly-detection-2

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 reviews construction data (costs, schedule variances, productivity) with statistical or machine learning methods, flags abnormal values and produces a report. You get the critical anomalies to handle first.

Mostly picked by

Updated November 2, 2026

Card for the “Anomaly detection in construction data” skill

Details

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

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What you get

  • SKILL.md : detection methods, report and critical anomalies in Python
  • instructions.md : data loading and configuration instructions

Good fit for

  • You suspect entry errors in costs
  • You want to spot abnormal productivity before a package ends

Not for

    Tags

    • anomalies
    • detection
    • costs
    • productivity

    About

    You say

    “Flag the unusual costs and yields in this export and rank them by priority.”

    Card for the “Anomaly detection in construction data” skill

    Skill published by datadrivenconstruction 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 detect anomalies in costs, schedules and productivity
    3. Review and adjust the result

    Content preview

    Files

    • claw.json0.6 KB
    • instructions.md1.2 KB
    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.6 KB
    • SKILL.md19.1 KB

    Origin and licence

    Listed unmodified

    Author
    datadrivenconstruction
    Source
    github.com/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/tree/410ed1e71e4a5c6fd231afd0c8d1e586a9f546e8/2_DDC_Book/2.6-Data-Quality-Validation/data-anomaly-detector
    Licence
    MIT

    Notice

    « data-anomaly-detector » (datadrivenconstruction, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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