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excel_data_analysis

Analyze Excel spreadsheets to extract summaries, formulas, and data quality issues.

Updated Feb 5, 2026
Search Tags:#pandas#openpyxl#spreadsheet#excel#data-analysis#xlsx#pivot
One-click install
npx skills add https://github.com/niranjannav/nitrovia-research-agent --skill excel-data-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: excel_data_analysis
Source: https://github.com/niranjannav/nitrovia-research-agent/tree/main/backend/skills/xlsx
Command: npx skills add https://github.com/niranjannav/nitrovia-research-agent --skill excel-data-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Many spreadsheets contain valuable but buried insights that are time-consuming to surface manually; this Skill automates reading sheets, identifying formulas, computing summary statistics, and flagging data quality issues to accelerate analysis and reporting.

Core Features & Use Cases

  • Sheet ingestion: Read single or multi-sheet .xlsx and .xls workbooks and report sheet names and shapes.
  • Statistical summaries: Produce descriptive statistics for numeric columns and value counts for categorical fields.
  • Formula & quality detection: Detect spreadsheet formulas, mixed-type columns, high-missingness columns, and simple outliers.
  • Cross-sheet analysis: Identify shared column keys, compare metrics across sheets, and surface relationships for synthesis.
  • Use Case: Generate an executive summary from a multi-sheet sales workbook that highlights top KPIs, data issues to address, and recommended charts for presentation.

Quick Start

Analyze the uploaded file 'sales_q1.xlsx' and produce a sheet-by-sheet summary with key numeric statistics, flagged data-quality issues, and suggested charts.

Frequently Asked Questions about excel_data_analysis

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

FAQPage Schema
How do I analyze an Excel spreadsheet to extract summary statistics and data quality issues?▼

To analyze an Excel spreadsheet, this Skill reads .xlsx and .xls workbooks using pandas and openpyxl to compute numeric descriptive statistics, categorical value counts, and flag mixed-type columns and high missingness for reporting.

Can I detect and inspect spreadsheet formulas across multiple sheets in an Excel workbook?▼

Yes, you can detect spreadsheet formulas across multiple sheets. The Skill inspects .xlsx and .xls workbooks to identify existing formulas, report sheet names and shapes, and compare metrics across sheets.

What is the best way to compare metrics across multiple sheets in an Excel workbook?▼

The best way to compare metrics across sheets is by identifying shared column keys. The Skill cross-references multi-sheet .xlsx workbooks to surface relationships and synthesize metrics for executive reporting.

Does openpyxl support reading both .xls and .xlsx files for data analysis?▼

openpyxl primarily supports .xlsx files, but this Skill handles both .xls and .xlsx formats by combining openpyxl with pandas to read sheets, inspect formulas, and compute summary statistics.

How do I prepare Excel data for visualizations and pivot tables?▼

To prepare Excel data for visualizations, the Skill processes spreadsheets with pandas to compute value distributions, identify simple outliers, and summarize tabular data for charting and pivot workflows.

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