mcpbeat

Exploratory Data Analysis

comeonoliver/skillshub-exploratory-data-analysis

Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats.

40k tokens
context cost
the whole folder, loaded on every use
10
files
ships runnable scripts
2
copies elsewhere
how many repositories repackaged it
59
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/ComeOnOliver/skillshub --skill exploratory-data-analysis

Repackaged in 2 other repositories

same content, different owner
foryourhealth111-pixel/Vibe-Skills open on GitHub →
Microck/ordinary-claude-skills open on GitHub →

How to use it

Copy the folder

Take comeonoliver/skillshub-exploratory-data-analysis from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference pip, uv. Without those the skill loads but fails at the first command.