sn-da-large-file-analysis
OfficialEfficiently analyze and process massive Excel files with high performance.
Data & Analytics#streaming#data analysis#excel#memory optimization#parquet#large files#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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