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Data quality validation v1.0.0

Use this resource to validate the data quality of a dataset or table

New

  • 445 downloads
  • 165 likes
  • 153 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install data-quality-validation

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

This skill activates on data quality requests and guides the agent step by step, with examples and error-handling rules. Its page sets no specific rules, so list the business rules to check.

Mostly picked by

Updated November 2, 2026

Card for the “Data quality validation” skill

Details

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

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What you get

  • SKILL.md: check steps and prerequisites
  • SKILL.md: examples and error handling

Good fit for

  • Your reports show inconsistent numbers
  • You want to check data before loading it

Not for

    Tags

    • data quality
    • validation
    • pipeline
    • checks

    About

    You say

    “Check the data quality of the customers table: missing values and duplicates.”

    Card for the “Data quality validation” 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 validate the data quality of a dataset or table
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md2.3 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/11-data-pipelines/data-quality-checker
    Licence
    MIT

    Notice

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

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