sn-da-large-file-analysis

Official

Efficiently analyze and process massive Excel files with high performance.

AuthorOpenSenseNova
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the challenge of analyzing very large Excel datasets that exceed standard processing capabilities, enabling high-speed, memory-efficient workflows.

Core Features & Use Cases

  • Stream Inspection: Examine large Excel files' sheet structures and row counts without loading entire data into memory.
  • Streaming Read and Conversion: Convert huge Excel files into Parquet format incrementally, avoiding memory overload.
  • High-Performance Analysis: Perform data aggregation, filtering, and export tasks on datasets with millions of rows efficiently.
  • Use Case Example: Quickly analyze a 1 million row transaction log to filter high-value transactions and generate export files without crashing or excessive delays.

Quick Start

Use the analysis skill to read a large Excel file and produce a summarized report or export filtered results with minimal memory usage.

Dependency Matrix

Required Modules

openpyxlpandaspyarrow

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: sn-da-large-file-analysis
Download link: https://github.com/OpenSenseNova/SenseNova-Skills/archive/main.zip#sn-da-large-file-analysis

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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