Skill Detail
Infer And Normalize Broken CSV Dialects Before Import With Clevercsv
Detect messy CSV dialects, standardize malformed files, and generate reliable import code before ingestion pipelines or analyst workflows fail.
Data Extraction & TransformationMulti-Framework
Data Extraction & Transformation
Multi-Framework
Security Reviewed
⭐ 1.3k GitHub stars
INSTALL WITH ANY AGENT
npx skills add agentskillexchange/skills --skill infer-and-normalize-broken-csv-dialects-before-import-with-clevercsv
Works best when you want a reusable capability, not another fragile one-off prompt.
At a glance
Tools required
Python 3, pip
Install & setup
pip install clevercsv[full]
Author
The Alan Turing Institute and contributors
Publisher
Open Source
Last updated
Apr 17, 2026
Quick brief
CleverCSV is a skill for handling messy CSV files when delimiter, quoting, or dialect issues would break a normal import. An agent should invoke it when a user has a malformed or inconsistent CSV and needs the file detected, standardized, or loaded safely before ETL, Pandas work, or database import.
How it works
What this skill actually does
Use this instead of a generic CSV utility when the blocker is dialect inference on broken real-world files. The scope boundary is tight: detect the dialect, normalize the file, or emit import-ready code. It is not a broad spreadsheet platform or generic data-wrangling product card.