wrangling-skills
Skill298 starsChanged 8 months agoMITView on GitHub
10 data wrangling skills. Trigger: messy data, format conversion, missing values, data reshaping. Design: pipeline-oriented recipes for common data cleaning and transformation tasks.
In this repository39 other files it gives its agents.
- dataviz-skillsSkill
- econometrics-skillsSkill
- statistics-skillsSkill
- ai-ml-skillsSkill
- biomedical-skillsSkill
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- code-exec-skillsSkill
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- scraping-skillsSkill
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The file
Files
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 |
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