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data-summarizer

Analyze CSV and Excel files to generate summary statistics and visualizations.

Updated Jun 19, 2026
Search Tags:#data visualization#data analysis#pandas#csv analysis#excel analysis
One-click install
npx skills add https://github.com/Li-Bai-GOAT/intelligent-analysis-agent --skill data-summarizer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-summarizer
Source: https://github.com/Li-Bai-GOAT/intelligent-analysis-agent/tree/main/sandbox_skills/data-summarizer
Command: npx skills add https://github.com/Li-Bai-GOAT/intelligent-analysis-agent --skill data-summarizer

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the analysis and visualization of CSV and Excel files, providing comprehensive insights without manual processing.

Core Features & Use Cases

  • Automated Analysis: Automatically analyzes data structure, statistics, and visualizations.
  • File Support: Handles CSV and Excel files, with support for multiple data types and formats.
  • Use Case: Ideal for quickly obtaining a full analysis of sales data, customer demographics, or financial reports.

Quick Start

Use the data-summarizer skill to analyze the file 'sales_data.csv'.

Frequently Asked Questions about data-summarizer

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

FAQPage Schema
How do I automate data analysis and visualization for CSV and Excel files?▼

You can automate data analysis and visualization of CSV and Excel files by using a Skill that leverages pandas, matplotlib, and seaborn to generate summary statistics and charts without manual processing.

What's the best way to generate summary statistics for sales data in Excel?▼

The best way to generate summary statistics for sales data in Excel is using an automated Skill that applies pandas and seaborn to extract comprehensive insights and visualize customer demographics or financial reports.

Do I need pandas and matplotlib to analyze CSV files?▼

Yes, you need pandas, matplotlib, seaborn, openpyxl, and xlrd installed to process CSV files and generate data visualizations, as these dependencies handle data structure parsing and chart rendering.

Can I use this approach for customer profiling and financial reporting?▼

Yes, this automated analysis approach is ideal for customer profiling and financial reporting, as it processes CSV and Excel files to deliver comprehensive insights and visualizations for various data types.

Does openpyxl or xlrd support all Excel formats for data visualization?▼

Openpyxl and xlrd support multiple Excel formats and data types for data visualization, ensuring that pandas can parse the file structure accurately to generate summary statistics and charts.

Why does my automated CSV analysis fail to generate visualizations?▼

Automated CSV analysis fails to generate visualizations when required dependencies like pandas, matplotlib, or seaborn are missing, preventing the engine from rendering charts and computing summary statistics.

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