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csv-data-summarizer

Analyze CSV files to generate statistics and visualizations.

Updated Mar 14, 2026
Search Tags:#reporting#visualization#pandas#statistics#data-analysis#csv#data-cleaning
One-click install
npx skills add https://github.com/CaptainPhantasy/floyd-v5 --skill csv-data-summarizer-captainphantasy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: csv-data-summarizer
Source: https://github.com/CaptainPhantasy/floyd-v5/tree/main/extensibility/skills/data/csv-data-summarizer
Command: npx skills add https://github.com/CaptainPhantasy/floyd-v5 --skill csv-data-summarizer-captainphantasy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

CSV data often lives in spreadsheets or logs and requires manual analysis to extract insights; this skill automates loading, analyzing, and visualizing CSV data to deliver actionable results.

Core Features & Use Cases

  • Automated CSV loading and type detection to tailor analyses for different data domains (sales, customers, finances, or generic datasets).
  • Comprehensive statistical summaries, data-quality checks, and missing-value diagnostics.
  • Generated visualizations (histograms, box plots, correlation matrices) and a concise report suitable for stakeholders.

Quick Start

Analyze a CSV file to generate a complete report with statistics and visuals.

Frequently Asked Questions about csv-data-summarizer

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

FAQPage Schema
How do I generate statistics and visualizations from a CSV file in one go?▼

To generate a CSV data summary, this skill automates loading, type detection, statistical analysis, and visualization to produce a comprehensive report with histograms, box plots, and correlation matrices in one go.

What is the best way to automate data-quality checks and missing-value diagnostics for CSV data?▼

Automating data-quality checks for CSV data involves detecting data types and scanning for missing values. This skill performs these diagnostics automatically alongside generating comprehensive statistical summaries.

Can I use automated CSV analysis for sales, customer, and financial datasets?▼

Yes, automated CSV analysis works for sales, customer, and financial datasets. The skill applies tailored type detection and statistical analysis to adapt to different data domains and generic scenarios.

Does pandas-based CSV analysis require manual configuration to generate a complete stakeholder report?▼

No, pandas-based CSV analysis here requires no manual configuration. The skill provides an end-to-end workflow that automatically handles data loading, type detection, and visualization generation for a concise report.

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