Open CLI

csvkit

scriptabledata
$ pipx install csvkit
Summary

CSV inspection, transforms, and data cleaning from the terminal.

  • csvkit fits data & db well, especially for csv inspection, transforms, and data cleaning from the terminal.
  • 541 homebrew installs (30d).
  • Easy to automate.
  • Good fit for coding-agent workflows and repeatable scripts.
  • Output is mostly text-first, so verify results before scripting around it.
database-csvkit-SKILL.md

Csvkit guide

CSV inspection, transforms, and data cleaning from the terminal. Built by Wireservice.

Open CLI packages the install path, verify step, and safe-start workflow so this tool can move from “interesting CLI” to something you can actually use. It also integrates with skills.sh so each CLI comes with the right companion skills, not just a binary and a docs link.

When to apply

  • csv inspection, transforms, and data cleaning from the terminal.
  • You need data processing in both local dev and CI.
  • You need csv inspection.
  • You need transforms.
  • You need data cleaning.

Quick reference

Installpipx install csvkit
Verifycsvkit --version
First real commandcsvlook data.csv

Open CLI × skills.sh

Open CLI integrates csvkit with the right skills.sh companions so you get the tool and the workflow together.

Data Analysis

Recommended pairing

Open CLI recommends this skills.sh skill because it fits data workflows. Turn query output and flat files into usable insights faster.

View on skills.sh
$ npx skills add https://github.com/supercent-io/skills-template --skill data-analysis
Starter prompt

Use csvkit together with the Data Analysis skills.sh skill. Start with safe inspection commands, summarize what you find, and ask before any step with side effects.

Also useful from skills.sh
Codebase Searchskills.shWorkflow Automationskills.sh

Why this tool

  • csvkit fits data & db well, especially for csv inspection, transforms, and data cleaning from the terminal.
  • 541 homebrew installs (30d).
  • Easy to automate.

Watch-outs

  • Output is mostly plain text.

Example workflow

1. csvlook data.csv

Safe start

Step 1

Install csvkit.

Step 2

Run `csvkit --version` first.

Step 3

Start with `csvlook data.csv`.

Step 4

Install a CLI that matches your database engine.

Alternatives worth considering

jq

JSON processing, apis, and agent output parsing from the terminal.

duckdb

Local analytics, sql, and csv/parquet queries from the terminal.

http

API testing, readable http, and debugging endpoints from the terminal.