csv-data-summarizer

Analyze CSV files to generate statistical summaries and visualizations.

2|Updated Feb 2, 2026

Search Tags:#reporting #data analysis #visualization #pandas #statistics #csv

Ready to run

npx skills add https://github.com/Weiwei-Mao/hydrology-skills --skill csv-data-summarizer-weiwei-mao

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: csv-data-summarizer
Source: https://github.com/Weiwei-Mao/hydrology-skills/tree/main/hydrology-skills/csv-data-summarizer
Command: npx skills add https://github.com/Weiwei-Mao/hydrology-skills --skill csv-data-summarizer-weiwei-mao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, matplotlib, seaborn, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of analyzing CSV files, providing immediate statistical summaries and visualizations without requiring user input on what to analyze.

Core Features & Use Cases

Automated Analysis: Intelligently analyzes CSV data, detecting data types and applying relevant statistical summaries and visualizations.
Comprehensive Visualizations: Generates time-series plots, correlation heatmaps, distribution histograms, and categorical breakdowns as appropriate for the data.
Use Case: Upload a CSV file containing sales data, and the skill will automatically generate charts showing revenue trends over time, correlations between different sales metrics, and distributions of key variables.

Quick Start

Analyze the attached file 'sales_data.csv' and present all findings.

Frequently Asked Questions about csv-data-summarizer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automatically generate statistical summaries and visualizations from a CSV file?▼

To automatically generate statistical summaries and visualizations from a CSV file, you can use this skill to intelligently detect data types and produce relevant charts without manual input. It adapts to your data to output time-series plots, correlation heatmaps, and distribution histograms.

Can I analyze sales data and get charts showing revenue trends and metric correlations?▼

Yes, you can analyze sales data to get charts showing revenue trends and metric correlations. The skill processes your CSV to automatically generate time-series plots for trends and correlation heatmaps to visualize relationships between different sales metrics.

Does this tool work with pandas, matplotlib, and seaborn for data visualization?▼

Yes, this tool works with pandas, matplotlib, and seaborn for data visualization. It utilizes these frameworks internally to handle data manipulation and render comprehensive visualizations like categorical breakdowns, distribution histograms, and correlation heatmaps.

What is the best way to create a data quality report from operational CSV data?▼

The best way to create a data quality report from operational CSV data is using an automated analysis skill that detects data types and generates quality assessments instantly. It evaluates your operational data and produces relevant statistical summaries without requiring specific analysis instructions.

Do I need to specify which variables to plot when analyzing survey data?▼

No, you do not need to specify which variables to plot when analyzing survey data. The skill intelligently adapts to survey data types, automatically applying relevant statistical summaries and generating appropriate visualizations like distribution histograms and categorical breakdowns.

What types of charts are generated for financial data analysis?▼

For financial data analysis, the generated charts include time-series plots for tracking trends, correlation heatmaps for metric relationships, distribution histograms for variable spread, and categorical breakdowns. The skill automatically selects the appropriate chart types based on the financial data detected.