---
title: "Infer And Normalize Broken CSV Dialects Before Import With Clevercsv"
description: "Detect messy CSV dialects, standardize malformed files, and generate reliable import code before ingestion pipelines or analyst workflows fail."
verification: "listed"
source: "https://github.com/alan-turing-institute/CleverCSV"
author: "The Alan Turing Institute and contributors"
publisher_type: "Open Source"
category:
  - "Data Extraction & Transformation"
framework:
  - "Multi-Framework"
tool_ecosystem:
  github_repo: "alan-turing-institute/CleverCSV"
  github_stars: 1324
---

# 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.

## Prerequisites

Python 3, pip

## Installation

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

Install command or upstream instructions:

```
pip install clevercsv[full]
```

## Documentation

- https://clevercsv.readthedocs.io/

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/infer-and-normalize-broken-csv-dialects-before-import-with-clevercsv/)