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Train/test data splitting v1.0.0

Use this resource to split a dataset into training and test sets

New

  • 412 downloads
  • 169 likes
  • 197 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install train-test-data-splitting

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 separate training and test data, covering method, examples and expected output. The skill is brief, so check the method against the nature of your data.

Mostly picked by

Updated November 2, 2026

Card for the “Train/test data splitting” 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

  • You are preparing a model and need a held-out test set
  • You must separate evaluation data from training data

Not for

    Tags

    • machine learning
    • train test split
    • data
    • evaluation

    About

    You say

    “Split my dataset into 80% training and 20% test.”

    Card for the “Train/test data splitting” 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 split a dataset into training and test sets
    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/07-ml-training/train-test-splitter
    Licence
    MIT

    Notice

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

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