exploratory-data-analysis

Analyze scientific data files and generate markdown reports.

Updated Aug 23, 2026

Search Tags:#automation #markdown #scientific data #eda #multiformat

One-click install

npx skills add https://github.com/merllinsbeard/ai-claude-skills-collection --skill exploratory-data-analysis-merllinsbeard

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: exploratory-data-analysis
Source: https://github.com/merllinsbeard/ai-claude-skills-collection/tree/main/scientific/exploratory-data-analysis
Command: npx skills add https://github.com/merllinsbeard/ai-claude-skills-collection --skill exploratory-data-analysis-merllinsbeard

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, pandas, biopython, Pillow, h5py, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates exploratory data analysis on scientific data files across 200+ formats, automatically detecting file type, extracting format-specific metadata, assessing data quality, and generating detailed markdown reports to guide downstream analysis.

Core Features & Use Cases

Automatic file type detection across 200+ scientific formats and extraction of format-specific metadata
Data quality assessment and statistics with actionable recommendations
Markdown report generation that documents findings and suggests downstream analyses
Wide-domain coverage including chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific formats

Quick Start

Run the analyzer on a data file to produce a markdown report, e.g.: python scripts/eda_analyzer.py my_data.xyz