Exploratory Data Analysis

If you routinely work with scientific data files and find yourself writing the same exploratory scripts over and over, this handles the grunt work automatically. Point it at a PDB, FASTQ, mzML, or any of 200+ other scientific formats and it detects the type, extracts format-specific metadata, runs appropriate quality checks, and generates a markdown report with statistical summaries and analysis recommendations. The coverage is impressively broad, spanning chemistry, bioinformatics, microscopy, spectroscopy, proteomics, and metabolomics domains. It's designed for that first-pass exploration step where you just need to understand what you're dealing with before writing actual analysis code. The format-specific intelligence is the real value here: it knows that FASTQ files need quality score analysis while CZI files need channel and dimension extraction.

skills.sh installs: 1.9K
GitHub stars: 33.2K
last updated: Aug 21, 2026

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Install

$ npx -y skills add davila7/claude-code-templates --skill exploratory-data-analysis --agent claude-code

Installs into .claude/skills of the current project.

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Exploratory Data Analysis

Overview

Perform comprehensive exploratory data analysis (EDA) on scientific data files across multiple domains. This skill provides automated file type detection, format-specific analysis, data quality assessment, and generates detailed markdown reports suitable for documentation and downstream analysis planning.

Key Capabilities: