Individual skill
exploratory-data-analysis
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.
skills/11-数据分析与统计建模/exploratory-data-analysis/SKILL.md
Source commit df5a498a81e0f9c8f79d814446dcf9e9b8f68888
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 10, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 1,034
- Repository last updated
- Jul 20, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- academic Repository topic
- ai-assistant Repository topic
- arxiv Repository topic
- claude-code Repository topic
- google-scholar Repository topic
- literature-review Repository topic
- openclaw Repository topic
- paper-search Repository topic
- pubmed Repository topic
- skill Repository topic
- writing Derived category
- data Derived category
- research Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 14,316 bytesSKILL.mdcore · 14,316 bytesSKILL.mdcore · 14,316 bytesSKILL.mdcore · 14,316 bytesSKILL.mdcore · 14,316 bytesSKILL.mdcore · 14,316 bytesSKILL.mdcore · 14,316 bytesSKILL.mdcore · 14,316 bytesassets/report_template.mddoc · 3,488 bytesreferences/bioinformatics_genomics_formats.mddoc · 21,163 bytesreferences/chemistry_molecular_formats.mddoc · 22,029 bytesreferences/general_scientific_formats.mddoc · 15,287 bytesreferences/microscopy_imaging_formats.mddoc · 18,549 bytesreferences/proteomics_metabolomics_formats.mddoc · 15,543 bytesreferences/spectroscopy_analytical_formats.mddoc · 18,073 bytesscripts/eda_analyzer.pyruns · 21,318 bytes
Read excerpt
# 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:**
- Automatic detection and analysis of 200+ scientific file formats
- Comprehensive format-specific metadata extraction
- Data quality and integrity assessment
- Statistical summaries and distributions
- Visualization recommendations
- Downstream analysis suggestions
- Markdown report generation