Processes CSV files with high-speed, Rust-based command-line tools.
npx skills add https://github.com/lanej/dotfiles --skill xsv
Please help me install this Agent Skill. Skill: xsv Source: https://github.com/lanej/dotfiles/tree/main/claude/skills/xsv Command: npx skills add https://github.com/lanej/dotfiles --skill xsv
This Skill eliminates the frustration of slow, memory-intensive CSV processing with traditional tools. It provides a Rust-powered, command-line toolkit for lightning-fast data manipulation, enabling you to handle large datasets efficiently and automate complex transformations.
sales_data.csv file, extract only the 'CustomerID', 'Product', and 'Revenue' columns, filter for sales over $1000, and then calculate the total revenue per product, all in seconds.From the 'data.csv' file, view the column headers, then count the total number of records.
High-intent search queries and answers about installing and using this skill.
CSV processing with xsv leverages Rust's performance to handle multi-gigabyte files in seconds. It streams data efficiently, avoiding memory bloat, and supports indexing for instant random access to rows without scanning the entire file.
Yes, xsv filters rows by regex patterns and selects columns by name or position in a single pipeline. Combine `search`, `select`, and `slice` commands to extract and transform data without intermediate files.
xsv supports multiple join types to combine datasets on common columns. Use the `join` command to merge files by key, then sort, concatenate, or reformat output to different delimiters for downstream analysis.
The `stats` command calculates comprehensive statistics—mean, min, max, stddev, median, mode—across numeric columns. Generate frequency tables to identify patterns and outliers in your dataset instantly.
Yes, xsv processes streaming data without loading entire files into memory, making it suitable for gigabyte-scale CSVs. Optional indexing further optimizes performance for repeated queries on the same file.
xsv includes 20+ composable commands: `select`, `search`, `sort`, `join`, `slice`, `stats`, `frequency`, `count`, `fmt`, and others. Chain them into pipelines to accomplish complex transformations in seconds.
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