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
Recommend AND run open-source AI tools, agents, Claude Code / Codex skills, and MCP servers for any stage of a literature review — searching, reading, extracting, synthesizing, screening, citation-checking, and paper writing. Use when the user asks "what tool should I use to..." OR "install/run/use <tool> to ..." for research/lit-review work: automating a survey or related-work section, PDF→Markdown extraction for LLMs (MinerU/marker/docling), PRISMA / systematic review (ASReview), citation-backed Q&A over PDFs (PaperQA2), wiring papers into Claude/Cursor via MCP (arxiv/paper-search/zotero servers), or chatting with a Zotero library. Ships a launcher (scripts/litrun.py) that installs each tool in an isolated venv and runs it. Curated catalog of 70+ vetted projects. 支持中英文(用于「文献综述工具选型」与「一键安装/运行」)。
development
Route empirical-research requests through the Auto-Empirical Research Skills catalog when this whole repository is installed as one skill in Codex, CodeBuddy, Claude Code, or another IDE. Use to choose and load the right vendored AERS skill for causal inference, econometrics, replication, data acquisition, manuscript writing, peer review and referee responses, citation checking, de-AIGC editing, or full empirical-paper workflows without reading the entire repository at once.
documentation
Use when the project collects primary data or runs a field, lab, or survey experiment, before the intervention begins — write the pre-analysis plan, size the sample from a power calculation, and register with the AEA RCT Registry. Apply after the design is chosen in aer-identification and before any outcome data are seen.
tools
Guide economists to authoritative data sources with explicit, confirmed data specifications before retrieval; interfaces with Playwright MCP to navigate portals and extract real data, not articles about data.