pandas-data-wrangling
Data cleaning, transformation, and exploratory analysis with pandas
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill pandas-data-wrangling --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Pandas Data Wrangling Guide ## Overview Data wrangling -- the process of cleaning, transforming, and preparing raw data for analysis -- typically consumes 60-80% of a data scientist's time. Pandas is the de facto standard library for tabular data manipulation in Python, and mastering its idioms directly translates to faster, more reliable research workflows. This guide covers the essential panda
What does the pandas-data-wrangling skill do?
Data cleaning, transformation, and exploratory analysis with pandas
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill pandas-data-wrangling --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.