Process and analyze CSV data with 61 Rust-based command-line commands.
npx skills add https://github.com/trmaphi/dotfiles --skill qsv
Please help me install this Agent Skill. Skill: qsv Source: https://github.com/trmaphi/dotfiles/tree/main/.claude/skills/qsv Command: npx skills add https://github.com/trmaphi/dotfiles --skill qsv
An efficient, CLI-based toolset to wrangle, inspect, transform, and analyze CSV and tabular data without leaving the shell, speeding up data work.
Run qsv stats data.csv to generate a concise summary of each column.
High-intent search queries and answers about installing and using this skill.
To analyze CSV data from the command line, use a CLI tool to inspect, transform, and summarize tabular datasets. Commands like stats generate concise column summaries directly in the shell.
The best way to join CSV files in a data pipeline is using a CLI tool that supports piping and multiple file inputs. This approach merges large datasets efficiently without loading them into a database.
Yes, you can convert CSV files to JSON, NDJSON, or SQLite without writing code by using a command-line transformation tool. It processes file inputs and outputs the desired format directly.
Yes, a Rust-based command-line CSV tool works well for large datasets because it is designed for speed and operates with zero dependencies. It pipelines data efficiently to derive insights from substantial files.
To validate and inspect tabular data before transformation, use CLI commands for sniffing, headers, and schema validation. This ensures CSV files are structurally sound before applying data pipelines.
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