skills/43-wentorai-research-plugins/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 brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research 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 |
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".