exploratory-data-analysis

8.7

174

305

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.

EDA

8.7

Rating

Installs

Data & Analytics

Quick Review

Exceptional skill for comprehensive exploratory data analysis across 200+ scientific file formats. The Description is crystal-clear about when to invoke this skill (analyzing scientific data files). SKILL.md provides excellent structure with detailed workflows, format categories, and step-by-step instructions. Task knowledge is outstanding: clear detection logic, analysis approaches per format, and detailed references to format-specific guidance in separate files. Structure is excellent—the main document gives a clear overview while offloading format details to referenced files, avoiding clutter. Novelty is strong: automating EDA across 200+ scientific formats with format-specific analysis and report generation would require extensive tokens and domain knowledge from a CLI agent alone. Minor deduction on structure for length (could be slightly more concise in examples), but overall this is a very high-quality, production-ready skill that meaningfully reduces cost and complexity for scientific data analysis tasks.