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explore-excel

Preview CSV and Excel files with structure, data types, and sample rows.

9|2|Updated Feb 10, 2026
Search Tags:#data analysis#excel#data exploration#csv#polars#file preview
One-click install
npx skills add https://github.com/cas-team-analyst/claude-code --skill explore-excel
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: explore-excel
Source: https://github.com/cas-team-analyst/claude-code/tree/main/.claude/skills/explore-excel
Command: npx skills add https://github.com/cas-team-analyst/claude-code --skill explore-excel

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires polars, openpyxl, and includes scripts (resource) components.

What problem does it solve?

This Skill helps users quickly understand the contents of data files (CSV and Excel) without needing to open them in separate applications, streamlining data exploration and analysis.

Core Features & Use Cases

  • File Preview: Generates a detailed preview of CSV and Excel files, including sheet information, column names, data types, non-null counts, first/last rows, and a random sample.
  • Data Type Inference: Attempts to intelligently infer data types, handling various formats and potential parsing issues.
  • Use Case: Before starting a deep dive into a new dataset, use this Skill to get a rapid overview of its structure, identify key columns, and check for missing data.

Quick Start

Use the explore-excel skill to preview the data in the file 'sales_data.xlsx'.

Frequently Asked Questions about explore-excel

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

FAQPage Schema
How do I preview a CSV or Excel file without opening it?▼

To preview a CSV or Excel file, use this Skill to automatically generate a comprehensive overview of its structure, including column names, inferred data types, non-null counts, and sample rows.

What is the best way to check data types and missing values in a dataset?▼

Checking data types and missing values is done by previewing the dataset's structure, which displays non-null counts and intelligently infers column data types to help you quickly identify potential parsing issues or gaps.

How do I get a quick overview of a large Excel spreadsheet's structure?▼

You can get a quick overview of an Excel spreadsheet by previewing its sheet information, column data types, and row counts, allowing you to assess data characteristics before starting in-depth processing.

Does polars work with Excel files for data exploration?▼

Polars is used for data exploration alongside openpyxl to support Excel files, enabling rapid data understanding by previewing file structures and extracting sample data without external applications.

Can I see a random sample of rows from my CSV file?▼

You can see a random sample of rows from your CSV file by generating a detailed preview, which also displays the first and last rows to provide a rapid understanding of the dataset's contents.

What are the limitations of using automated data preview for Excel files?▼

Automated data preview for Excel files focuses on structure and sampling rather than transformation, meaning it attempts to infer data types but may not handle complex parsing issues without further in-depth processing.

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