About wrangling-skills
A collection of ten data-wrangling skills for agents, covering CSV analysis, research data cleaning, survey processing, and text mining. Each skill is selected by need and read from its SKILL.md.
Key features
- 01CSV exploration and statistical analysis
- 02Research data cleaning workflows
- 03Missing-data diagnosis and imputation
- 04Pandas and Stata transformations
- 05Survey design and processing
- 06Text mining for research data
Use cases
- 01Explore and summarize CSV files
- 02Clean research datasets and handle missing values
- 03Prepare survey responses for analysis
- 04Mine research text with NLP
Install
Copy the command and run it in a terminal.
$
npx skills add https:/After installing, type/wrangling-skillsin Claude Code to confirm it loaded.
Details
From the project READMEData 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 |
Comments
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