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Data augmentation pipeline v1.0.0

Use this resource to build a pipeline that augments a training dataset

New

  • 573 downloads
  • 181 likes
  • 239 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install data-augmentation-pipeline

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 picks transformations suited to the data, writes the pipeline and checks that the variants stay consistent. You get an augmented dataset and the checks applied.

Mostly picked by

Updated November 2, 2026

Card for the “Data augmentation pipeline” skill

Details

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

Similar resources

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What you get

  • SKILL.md: transformation steps and consistency rules
  • SKILL.md: pipeline examples and expected output

Good fit for

  • Your training set is too small for the minority class
  • Your vision model degrades outside training conditions

Not for

    Tags

    • data augmentation
    • training
    • pipeline
    • data

    About

    You say

    “Augment my image set of defective parts with rotations and brightness changes.”

    Card for the “Data augmentation pipeline” 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 build a pipeline that augments a training dataset
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.6 KB
    • SKILL.md2.4 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/data-augmentation-pipeline
    Licence
    MIT

    Notice

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

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