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Analysis of tables larger than RAM v1.0.0

Use this resource to analyze large tabular files that do not fit in memory

New

  • 555 downloads
  • 155 likes
  • 126 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install out-of-core-dataframe-analysis

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 writes Vaex expressions and filtered views on your HDF5, Arrow, CSV or Parquet files, then computes statistics without loading everything. You get analysis code and memory checkpoints.

Mostly picked by

Updated November 2, 2026

Card for the “Analysis of tables larger than RAM” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: use cases, installation and a runnable example
  • references/: core dataframes, processing, I/O, machine learning, performance and visualization

Good fit for

  • Your Parquet file exceeds your machine's memory
  • You want statistics without shrinking the file first

Not for

    Tags

    • tabular data
    • Vaex
    • memory

    About

    You say

    “Compute the average by region on my 20 GB CSV without loading it fully.”

    Card for the “Analysis of tables larger than RAM” skill

    Skill published by k-dense-ai 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 analyze large tabular files that do not fit in memory
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/core_dataframes.md4.7 KB
    • references/data_processing.md7.3 KB
    • references/io_operations.md7.7 KB
    • references/machine_learning.md10 KB
    • references/performance.md5.2 KB
    • references/review.md4.6 KB
    • references/visualization.md5.1 KB
    • SKILL.md7.7 KB

    Origin and licence

    Listed unmodified

    Author
    k-dense-ai
    Source
    github.com/k-dense-ai/scientific-agent-skills/tree/5f2bc0341354fd5590aef76a533ada1e1e5b4e62/skills/vaex
    Licence
    MIT

    Notice

    « vaex » (k-dense-ai, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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