skills/analysis/wrangling/SKILL.md
10 data wrangling skills. Trigger: messy data, format conversion, missing values, data reshaping. Design: pipeline-oriented recipes for common data cleaning and transformation tasks.
npx skillsauth add wentorai/research-plugins wrangling-skillsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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 |
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