Does this skill require me to specify which columns to analyze?

No, the skill is designed to be fully automatic. It scans the entire CSV, identifies relevant data types, and generates comprehensive results without asking for user input.

What types of visualizations does it generate?

It creates context-specific plots such as time-series trends (if dates are present), correlation heatmaps (for numeric data), and distribution charts (for categorical data).

Can I use this for large datasets?

Yes, it leverages the high-performance Python pandas library to handle standard CSV datasets efficiently within the Claude Code environment.

Why does it skip asking me what I want to do with the data?

The core design philosophy of this skill is 'immediate action.' It assumes that if you provide a CSV, you want a full analysis right away, saving you time and reducing unnecessary conversation turns.

CSV Data Summarizer

Name: CSV Data Summarizer
Author: Weiwei-Mao

byWeiwei-Mao

0•

データサイエンスとML

Analyzes CSV files automatically to generate comprehensive statistical summaries and context-aware visualizations using Python and pandas.

This skill transforms Claude into a proactive data analyst that immediately processes CSV files without requiring manual direction or repetitive back-and-forth prompting. Upon detecting a tabular dataset, it intelligently identifies data types—such as sales, customer, or financial data—and automatically executes relevant statistical analyses, identifies missing values, and generates tailored visualizations like time-series plots and correlation heatmaps. It is specifically designed for users who need instant insights and professional-grade data overviews without having to specify analysis parameters or navigate complex configuration options.

主な機能

01Proactive analysis without user intervention or follow-up questions

02Automatic data type detection for dates, categories, and numeric values

03Comprehensive statistical summaries and missing data reporting

04Intelligent industry-specific adaptation for sales, finance, and survey data

050 GitHub stars

06Context-aware visualizations including time-series, histograms, and heatmaps

ユースケース

01Getting an instant high-level overview of newly uploaded sales or transaction datasets

02Automating the initial exploratory data analysis (EDA) phase for data science projects

03Quickly identifying data quality issues and missing values in large tabular files

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add weiwei-mao/hydrology-skills csv-data-summarizer

For use in Claude.ai and ChatGPT

Download Skill