Detect scientific file formats and generate Markdown analysis reports.
npx skills add https://github.com/ManfronEnrico/thesis-manifold --skill data-eda
Please help me install this Agent Skill. Skill: data-eda Source: https://github.com/ManfronEnrico/thesis-manifold/tree/main/.claude/skills/data-eda Command: npx skills add https://github.com/ManfronEnrico/thesis-manifold --skill data-eda
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.
Run the EDA workflow on a target scientific data file to generate a detailed Markdown report.
High-intent search queries and answers about installing and using this skill.
You can automatically classify scientific data files by extension and content to extract format-specific metadata and compute quality metrics. The skill routes analysis to specialized modules and outputs a structured result with a detailed Markdown report.
Yes, exploratory data analysis supports bioinformatics and microscopy formats using dependencies like h5py, biopython, and Pillow. The skill automatically detects file types, extracts format-specific metadata, and computes quality metrics for downstream analysis.
The best way to generate a structured report from chemistry and omics data is to use an automated file-type detection workflow. The skill extracts format-specific metadata, computes quality metrics, and returns a detailed Markdown report with downstream analysis recommendations.
Yes, the automated EDA workflow utilizes numpy and pandas as core dependencies to process scientific data. It leverages these libraries to compute quality metrics and extract metadata across 200+ scientific file formats before generating a Markdown report.
You get downstream analysis recommendations by running the EDA workflow on a target scientific file. The skill returns a structured Markdown report containing detected format information, quality metrics, and specific guidance for subsequent analytical steps.
When analyzing unsupported scientific file extensions, the skill cannot route analysis to specialized modules for format-specific metadata extraction. It is designed to cover 200+ known formats across chemistry, biology, imaging, spectroscopy, and omics domains.
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