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excel-analyzer

Convert Excel files into optimized Parquet format and generate a query skill.

Updated Aug 23, 2026
Search Tags:#skill generation#data analysis#excel#parquet#polars#conversational query#data conversion
One-click install
npx skills add https://github.com/aayush-gc/claude-agent-skill-utilities --skill excel-analyzer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: excel-analyzer
Source: https://github.com/aayush-gc/claude-agent-skill-utilities/tree/main/.claude/skills/excel-analyzer
Command: npx skills add https://github.com/aayush-gc/claude-agent-skill-utilities --skill excel-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openpyxl, polars, pyarrow, pandas, python-dateutil, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Manually analyzing large, complex Excel files and building conversational interfaces for them is time-consuming and technically challenging. This skill automates the conversion of Excel data into an optimized, queryable format and generates a custom AI skill for natural language interaction.

Core Features & Use Cases

  • Automated Skill Generation: Creates a complete, ready-to-use Claude Agent Skill from any Excel file, including schema, formulas, and comprehensive documentation.
  • High-Performance Data Conversion: Converts Excel sheets to optimized Parquet format, enabling 30x faster queries on millions of rows with lazy loading.
  • Conversational Data Interaction: Allows users to query complex Excel data using natural language, eliminating the need for manual data manipulation or coding.
  • Use Case: Upload a large sales report Excel file, and this skill will automatically generate a new AI skill that allows your team to ask questions like "What were the total sales in Q3 for the East region?" and get instant, accurate answers, saving hours of manual data extraction.

Quick Start

Analyze 'quarterly_sales.xlsx' and generate a query skill.