pandas

Tabular data manipulation and analysis with DataFrame structures. Read/write CSV/Excel files, filter rows, aggregate groups, merge datasets, pivot tables, and apply transformations. Use when processing exchange rate feeds, analyzing time-series currency data, cleaning and transforming datasets, joining multiple data sources, computing grouped statistics, handling missing values, or working with structured tabular data. Built on NumPy for performance.

$ Installer

git clone https://github.com/benchflow-ai/skillsbench /tmp/skillsbench && cp -r /tmp/skillsbench/shared_workspace/forex-arbitrage-detector/environment/skills/pandas ~/.claude/skills/skillsbench

// tip: Run this command in your terminal to install the skill