wrangling-skills
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ChineseData Wrangling — 10 Skills
数据整理——10项技能
Select the skill matching the user's need, then its SKILL.md.
read| 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 |
选择符合用户需求的技能，然后查看其SKILL.md文档。
| Skill | 描述 |
|---|---|
| csv-data-analyzer | 加载、探索、清洗CSV数据并生成统计摘要 |
| data-cleaning-pipeline | 面向研究数据集的系统化数据清洗工作流 |
| data-cog-guide | 上传杂乱CSV文件，通过极少提示即可进行深度自动化分析 |
| missing-data-handling | 诊断缺失数据模式并应用合适的插补策略 |
| pandas-data-wrangling | 使用pandas进行数据清洗、转换与探索性分析 |
| questionnaire-design-guide | 包含李克特量表与编码的问卷及调研设计 |
| stata-data-cleaning | 使用Stata清洗、转换并验证杂乱的研究数据 |
| streamline-analyst-guide | 带有Streamlit界面的端到端数据分析AI Agent |
| survey-data-processing | 清洗、重新编码调研响应数据并为分析做准备 |
| text-mining-guide | 将NLP与文本挖掘技术应用于研究文本数据 |