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.
npx skills add https://github.com/davila7/claude-code-templates --skill exploratory-data-analysis