Wrangling
10 data wrangling skills. Trigger: messy data, format conversion, missing values, data reshaping. Design: pipeline-oriented recipes for common data cleaning and transformation tasks.From its SKILL.md
npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill wranglingAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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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 |
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.