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csv-data-summarizer

Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.

409stars58forksUpdated 6/19/2026

Security Assessment

Safe(100/100)
Security Score100/100

About csv-data-summarizer

The CSV Data Summarizer is an intelligent analysis skill that automatically processes CSV files and delivers comprehensive statistical insights and visualizations without requiring user prompts. When a CSV file is uploaded or referenced, this skill immediately springs into action, loading the data into a pandas DataFrame and conducting a thorough examination of its structure, column types, and content patterns.

This skill adapts its analysis approach based on the actual data it encounters. Whether working with sales records, customer demographics, financial transactions, operational metrics, or survey responses, it intelligently determines which analyses and visualizations are most relevant. It generates time-series plots for temporal data, correlation heatmaps for multi-numeric datasets, category distributions for categorical fields, and histograms for numeric distributions—but only when these visualizations make sense for the specific dataset at hand.

Designed for data analysts, business users, researchers, and anyone working with tabular data, the CSV Data Summarizer eliminates the back-and-forth typically required in exploratory data analysis. It provides a complete analysis in a single response, including data overview statistics, missing data analysis, multiple relevant visualizations, and actionable insights derived from patterns detected in the data. This proactive approach saves time and ensures users immediately receive the comprehensive analysis they need without having to specify what they want to see.

FAQ

What Python version and libraries does this skill require?

This skill requires Python 3.8 or higher, along with pandas 2.0.0+, matplotlib 3.7.0+, and seaborn 0.12.0+ for data analysis and visualization capabilities.

Does this skill ask me what analysis I want, or does it analyze automatically?

This skill automatically performs a comprehensive analysis immediately upon receiving a CSV file. It does not ask for user preferences or offer options—it intelligently determines the most relevant analyses based on your data's structure and content, then presents complete results.

What types of data can this skill analyze?

The skill adapts to various data types including sales/e-commerce data, customer demographics, financial transactions, operational metrics, survey responses, healthcare data, inventory records, and web analytics. It inspects your data first, then applies the most appropriate analytical techniques.

What kind of visualizations will be generated?

Visualizations are intelligently selected based on your data. The skill generates time-series plots for temporal data, correlation heatmaps for numeric relationships, category distributions for categorical fields, and histograms for numeric distributions—only creating charts that make sense for your specific dataset.

Can I use this skill for data quality assessment?

Yes, the skill includes missing data analysis as part of its comprehensive output, helping you identify data quality issues alongside statistical summaries and insights.

All Files

8 files
SKILL.md5.5 KB
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resources/sample.csv0.8 KB
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.gitignore0.4 KB
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README.md7.2 KB
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examples/showcase_financial_pl_data.csv6.8 KB
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analyze.py6.7 KB
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resources/README.md2.8 KB
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requirements.txt0.0 KB
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Install csv-data-summarizer

Download and extract the skill files to your .claude/skills/ directory.

Quick Setup:

  1. Copy the skill folder to .claude/skills/
  2. Claude will automatically detect and use the skill