10 data wrangling skills. Trigger: messy data, format conversion, missing values, data reshaping. Design: pipeline-oriented recipes for common data cleaning and transformation tasks.
Scanned 9/3/2026
Install to Claude Code
npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill wrangling --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: wrangling-skills
description: "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](./csv-data-analyzer/SKILL.md) | Load, explore, clean, and analyze CSV data with statistical summaries |
| [data-cleaning-pipeline](./data-cleaning-pipeline/SKILL.md) | Systematic data cleaning workflows for research datasets |
| [data-cog-guide](./data-cog-guide/SKILL.md) | Upload messy CSVs with minimal prompting for deep automated analysis |
| [missing-data-handling](./missing-data-handling/SKILL.md) | Diagnose missing data patterns and apply appropriate imputation strategies |
| [pandas-data-wrangling](./pandas-data-wrangling/SKILL.md) | Data cleaning, transformation, and exploratory analysis with pandas |
| [questionnaire-design-guide](./questionnaire-design-guide/SKILL.md) | Questionnaire and survey design with Likert scales and coding |
| [stata-data-cleaning](./stata-data-cleaning/SKILL.md) | Clean, transform, and validate messy research data using Stata |
| [streamline-analyst-guide](./streamline-analyst-guide/SKILL.md) | End-to-end data analysis AI agent with Streamlit UI |
| [survey-data-processing](./survey-data-processing/SKILL.md) | Clean, recode, and prepare survey response data for analysis |
| [text-mining-guide](./text-mining-guide/SKILL.md) | Apply NLP and text mining techniques to research text data |
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