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List virtualization for large datasets v1.0.0

Use this resource to display long lists or tables without slowing down scrolling

New

  • 417 downloads
  • 122 likes
  • 101 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install virtual-list-windowing

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 finds the lists that slow your interface and sets up a rendering window that shows only the visible rows. You get the code, the library choices and the limits of react-window.

Mostly picked by

Updated November 2, 2026

Card for the “List virtualization for large datasets” 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: how it works, use cases and cases to avoid
  • SKILL.md: examples with react-window and alternatives

Good fit for

  • A table with thousands of rows takes long to render
  • Scrolling stutters on a long results list

Not for

    Tags

    • virtualization
    • react
    • performance
    • scrolling

    About

    You say

    “Virtualize my list of 5,000 orders so that scrolling stays smooth.”

    Card for the “List virtualization for large datasets” skill

    Skill published by patternsdev 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 display long lists or tables without slowing down scrolling
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.3 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md13.1 KB

    Origin and licence

    Listed unmodified

    Author
    patternsdev
    Source
    github.com/patternsdev/skills/tree/48bf58a488cd210bcfad280b09c3a00403964d9d/javascript/virtual-lists
    Licence
    MIT

    Notice

    « virtual-lists » (patternsdev, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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