← LeaderboardThe Skill Leaderboard

wrangling-skills

10 data wrangling skills. Trigger: messy data, format conversion, missing values, data reshaping. Design: pipeline-oriented recipes for common data cleaning and transformation tasks.

Published by brycewang-stanford ↗brycewang-stanford/Auto-Empirical-Research-Skills

Try your first task

wrangling-skills

Start a fresh conversation. Replace the highlighted placeholders.

Use wrangling-skills to clean and reshape [research CSV] based on [data dictionary and analysis requirements], providing a reproducible transformation description, the cleaned output, and a quality/missingness report.

Required inputs

[research CSV]
[data dictionary and analysis requirements]

User-approved starter prompt based on a pinned source version; check current skill requirements before running. Task evidence ↗

SKILL.md

name: wrangling-skillsdescription: "10 data wrangling skills. Trigger: messy data, format conversion, missing values, data reshaping. Design: pipeline-oriented recipes for common data cleaning and transformation tasks."

Data Wrangling — 10 Skills

Select the skill matching the user's need, then read its SKILL.md.

Skill	Description
csv-data-analyzer	Load, explore, clean, and analyze CSV data with statistical summaries
data-cleaning-pipeline	Systematic data cleaning workflows for research datasets
data-cog-guide	Upload messy CSVs with minimal prompting for deep automated analysis
missing-data-handling	Diagnose missing data patterns and apply appropriate imputation strategies
pandas-data-wrangling	Data cleaning, transformation, and exploratory analysis with pandas
questionnaire-design-guide	Questionnaire and survey design with Likert scales and coding
stata-data-cleaning	Clean, transform, and validate messy research data using Stata
streamline-analyst-guide	End-to-end data analysis AI agent with Streamlit UI
survey-data-processing	Clean, recode, and prepare survey response data for analysis
text-mining-guide	Apply NLP and text mining techniques to research text data