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HaykTarkhanyan
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exploratory-data-analysis

Detect scientific data file types and generate Markdown EDA reports.

Updated Mar 31, 2026
Search Tags:#eda#multiformat#markdown-report#report-generation#quality-assessment#scientific-data#data-detection
One-click install
npx skills add https://github.com/HaykTarkhanyan/dst_research --skill exploratory-data-analysis-hayktarkhanyan
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: exploratory-data-analysis
Source: https://github.com/HaykTarkhanyan/dst_research/tree/main/.claude/skills/exploratory-data-analysis
Command: npx skills add https://github.com/HaykTarkhanyan/dst_research --skill exploratory-data-analysis-hayktarkhanyan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Automates discovering scientific data file formats and extracting metadata to enable rapid understanding.

Core Features & Use Cases

  • Auto-detects file formats across chemistry, biology, imaging, spectroscopy, proteomics, and general data.
  • Extracts format-specific metadata and generates markdown reports with quality metrics and downstream-analysis recommendations.
  • Produces a structured, ready-to-use report and guidance for subsequent analysis tasks.

Quick Start

Process a data file path to auto-detect its format and generate a detailed exploratory data analysis report.

Frequently Asked Questions about exploratory-data-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automatically generate an EDA report for scientific data files?▼

To generate an EDA report for scientific data, you process the data file path to auto-detect its format and extract format-specific metadata, producing a structured Markdown report with quality metrics and downstream analysis recommendations.

What scientific data formats can be auto-detected for exploratory data analysis?▼

Exploratory data analysis can auto-detect scientific data formats across chemistry, biology, imaging, spectroscopy, proteomics, and general data files to extract metadata and generate detailed Markdown reports.

How do I extract metadata from multi-format scientific data files?▼

You extract metadata from multi-format scientific data files by applying format-specific context loaded from references, relying on YAML frontmatter for discovery while handling errors gracefully.

Can I get quality assessment and downstream analysis recommendations for omics data?▼

Yes, you can get quality assessment and downstream analysis recommendations for omics data by applying automated exploratory data analysis, which reveals data structure and quality to guide subsequent tasks.

What is the best way to automate markdown report generation for spectroscopy data?▼

The best way to automate markdown report generation for spectroscopy data is using automated exploratory data analysis to detect the file type, extract metadata, and output a structured report with recommended actions.

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