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Design ML data pipelines with Polars and Arrow v1.0.0

Use this resource to design efficient ML data pipelines with Polars, Arrow and ClickHouse

New

  • 410 downloads
  • 157 likes
  • 136 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install polars-arrow-ml-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 helps you choose between Polars and pandas, then builds a pipeline that limits copies through Arrow. It proposes ClickHouse integration patterns, including the recommended Arrow stream. You get an architecture and peak memory orders of magnitude to compare.

Mostly picked by

Updated November 2, 2026

Card for the “Design ML data pipelines with Polars and Arrow” skill

Details

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

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What you get

  • SKILL.md: Polars or pandas decision tree and zero-copy architecture
  • SKILL.md: ClickHouse integration patterns
  • references/evolution-log.md: change log

Good fit for

  • Your ML pipeline uses too much memory with pandas
  • You move large volumes out of ClickHouse

Not for

    Tags

    • polars
    • arrow
    • pipeline
    • clickhouse

    About

    You say

    “Design my training data pipeline: ClickHouse to Polars, with no extra copies.”

    Card for the “Design ML data pipelines with Polars and Arrow” skill

    Skill published by terrylica 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 design efficient ML data pipelines with Polars, Arrow and ClickHouse
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/evolution-log.md0.7 KB
    • SKILL.md10.9 KB

    Origin and licence

    Listed unmodified

    Author
    terrylica
    Source
    github.com/terrylica/cc-skills/tree/0ca36f7260a3eb5de13a1b684509c4ecd5fe819b/plugins/devops-tools/skills/ml-data-pipeline-architecture
    Licence
    MIT

    Notice

    « ml-data-pipeline-architecture » (terrylica, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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