What problem does it solve? Scientific data arrives in hundreds of specialized formats, and understanding a file's structure, quality, and content before analysis requires format-specific expertise. This Skill automates file type detection, format-specific analysis, and report generation so you can quickly understand any scientific dataset. ## Core Features & Use Cases - Automatic Format Detection: Identifies 200+ scientific file formats across chemistry, bioinformatics, microscopy, spectroscopy, proteomics, and general data categories. - Format-Specific Analysis: Loads detailed reference information for each format, including appropriate Python libraries and recommended analysis approaches. - Markdown Report Generation: Produces comprehensive reports covering data structure, quality metrics, key findings, and downstream analysis recommendations. - Use Case: A researcher receives a FASTQ sequencing file and needs to assess read counts, length distributions, and quality scores before deciding on a preprocessing pipeline. The Skill detects the format, performs the analysis, and saves a structured report. ## Quick Start Ask the assistant to analyze your scientific data file, for example: perform exploratory data analysis on reads.fastq and generate a report.
