Fast data table analyst

Give it a large data file. Get fast cleaning, grouping and analysis with Polars code that you can rerun.

Fast data table analyst is a free AI skill for the job "Make documents, sheets and slides". Give the instructions to an AI assistant that supports the required files and tools, then review its output.

Free · No account · CC BY 4.0 licence · Made by sickn33 · Level: advanced

Made by sickn33. See the original on GitHub; we copied it as it is, with its licence.

What it does

Large spreadsheets and data files cleaned, grouped and summed in seconds, as Polars code you can run again next month. It beats slow pandas scripts when your data is big but still fits in memory. You describe the file and the question. The skill writes the steps using Polars expressions: select columns, filter rows, add computed columns, group and aggregate, join tables and reshape. For big files it uses lazy mode, so Polars plans the whole job and reads only what it needs, running in parallel. It also shows how to read CSV and Parquet files and how to avoid slow row-by-row loops. It needs Python with Polars installed.

You give it

A data file, such as CSV or Parquet
The question you want answered
Column names and any known data problems (optional)

You get

Polars code you can rerun
Cleaned and grouped tables
A result file
Notes on speed choices

Use it when

Your pandas script takes minutes on a big CSV.
You need monthly totals by customer from millions of rows.
You want a repeatable cleaning step for a weekly export.
You need to join two large tables without freezing your computer.

How to use it

Add it to your AI once: download it and add the folder to Claude, ChatGPT or Codex as a skill.
Ask for the job in your own words. Your AI opens the skill when it fits.
It works best when your AI can run Python code.