Data Wrangling — 10 Skills

SkillMedia

10 data wrangling skills. Trigger: messy data, format conversion, missing values, data reshaping. Design: pipeline-oriented recipes for common data cleaning and transformation tasks.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Data Wrangling skill

What this skill tells your AI

The instructions your AI receives, as published by brycewang-stanford/auto-empirical-research-skills in skills/43-wentorai-research-plugins/skills/analysis/wrangling/SKILL.md and read by ahel’s review.

Select the skill matching the user's need, then read its SKILL.md.

SkillDescription
csv-data-analyzerLoad, explore, clean, and analyze CSV data with statistical summaries
data-cleaning-pipelineSystematic data cleaning workflows for research datasets
data-cog-guideUpload messy CSVs with minimal prompting for deep automated analysis
missing-data-handlingDiagnose missing data patterns and apply appropriate imputation strategies
pandas-data-wranglingData cleaning, transformation, and exploratory analysis with pandas
questionnaire-design-guideQuestionnaire and survey design with Likert scales and coding
stata-data-cleaningClean, transform, and validate messy research data using Stata
streamline-analyst-guideEnd-to-end data analysis AI agent with Streamlit UI
survey-data-processingClean, recode, and prepare survey response data for analysis
text-mining-guideApply NLP and text mining techniques to research text data

Signals

GitHub stars
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Forks
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Last commit
Sep 2026

ahel review

  • K1binfo
    installs-packages (in streamline-analyst-guide/SKILL.md)

Automated review, not a security audit. Ruleset v1+k2.

Advanced
Item type
skill
Key
wrangling-skills
Source
github.com/brycewang-stanford/auto-empirical-research-skills