Large-Scale Excel Analysis

by OpenSenseNova

Large-Scale Excel Analysis is a Data skill for Claude Code, published by OpenSenseNova in SenseNova-Skills.

4.9K stars364 forkson OpenSenseNova/SenseNova-SkillsAdded 2026/08/16Repository updated 2026/08/13

View source on GitHub Download repo ZIP

agentagent-skillsai-agentsai-assistantdata-analysisdocument-processingoffice-automationpresentation-slides

Install in seconds

Install Large-Scale Excel Analysis

Copy Large-Scale Excel Analysis into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-da-large-file-analysis ~/.claude/skills/sn-da-large-file-analysis

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/OpenSenseNova/SenseNova-Skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/sn-da-large-file-analysis/SKILL.md in OpenSenseNova/SenseNova-Skills
Installs to: ~/.claude/skills/sn-da-large-file-analysis
Collection: One of 25 skills cataloged from this repository
Category: Data — 668 skills

What Large-Scale Excel Analysis does

Large-Scale Excel Analysis provides streaming reads, Parquet conversion, and memory optimization for Excel files with 10,000+ rows. Use it when analyzing large datasets to avoid timeouts and out-of-memory errors.

Large-Scale Excel Analysis is cataloged under Data on DirSkills. Large-Scale Excel Analysis comes from a repository tagged agent, agent-skills, ai-agents, ai-assistant and data-analysis.

Documentation

README

Excerpt

Large Scale Excel Analysis Skill

Mandatory Rules

When total rows >= 10,000, you MUST use the methods in this skill.

Data Scale	Read Strategy	Reason
< 10k rows	`pd.read_excel()` directly	No memory pressure
10k–100k rows	`pd.read_excel()` → convert to Parquet → `pd.read_parquet()` for analysis	Avoid repeated slow reads
100k–1M rows	openpyxl `read_only` + `iter_rows` streaming → Parquet	`pd.read_excel()` will OOM or timeout
> 1M rows	Streaming read + multi-sheet split (Excel max 1,048,576 rows per sheet)	Must chunk

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Large-Scale Excel Analysis

What else does OpenSenseNova publish alongside Large-Scale Excel Analysis?
Large-Scale Excel Analysis is one of 25 skills that DirSkills catalogs from OpenSenseNova/SenseNova-Skills, the repository it ships in. Its siblings there include Academic Research, China Market Search and Chinese Social Search. Each one is a separate skill with its own page in this directory, installs the same way Large-Scale Excel Analysis does, and is maintained by OpenSenseNova in that same repository. The rest of the collection is listed on the OpenSenseNova/SenseNova-Skills page.
How does Large-Scale Excel Analysis compare to other Data skills?
Large-Scale Excel Analysis ranks #186 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Large-Scale Excel Analysis against them. Open each page to compare what they document and how they install.