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Data partitioning in pipelines v1.0.0

Use this resource to partition data in a processing pipeline

New

  • 408 downloads
  • 182 likes
  • 127 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install data-partitioning-pipelines

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 split pipeline data into partitions, covering method, examples and output format. The skill is brief, so adapt it to your orchestration engine and data volume.

Mostly picked by

Updated November 2, 2026

Card for the “Data partitioning in pipelines” 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 data job has become too heavy for a single batch
  • You want to split work across parallel tasks

Not for

    Tags

    • data
    • partitioning
    • etl
    • pipeline

    About

    You say

    “Partition this event pipeline by day and by region.”

    Card for the “Data partitioning in pipelines” 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 partition data in a processing pipeline
    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/11-data-pipelines/data-partitioner
    Licence
    MIT

    Notice

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

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