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.
Target: Data analysis. Automatically collected · unverified.
Excerpt from the author’s documentation
Extracted from a fixed version of SKILL.md in its original language. This is the author’s documentation; installation, compatibility and runtime results have not been verified by this site.
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Topics in the source
- Exploratory Data Analysis
- Overview
- When to Use This Skill
- Supported File Categories
- 1. Chemistry and Molecular Formats (60+ extensions)
- 2. Bioinformatics and Genomics Formats (50+ extensions)
- 3. Microscopy and Imaging Formats (45+ extensions)
- 4. Spectroscopy and Analytical Chemistry Formats (35+ extensions)
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 Use this skill when: User provides a path to a scientific data file for analysis User asks to "explore", "analyze", or "summarize" a data file User wants to understand the structure and content of scientific data User needs a comprehensive report of a dataset before analysis User wants to assess data quality or completeness User asks what type of analysis is appropriate for a file The skill has comprehensive coverage of scientific file formats organized into six major categories: Structure files, computational chemistry outputs, molecular dynamics trajectories, and chemical databases. F
This is an excerpt. Refer to the complete source and its current requirements.
- Source repository
- davila7/claude-code-templates
- Source file
- cli-tool/components/skills/scientific/exploratory-data-analysis/SKILL.md
- Fixed revision
- 21be197f100a12b8d0dd9a211cc244c8179f84d3
Sources and evidence
This record was collected automatically. Its documentation, suitability and runtime behavior have not been manually verified.
Author: davila7/claude-code-templates · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-09T15:01:40.056Z.
Categories are inferred from names, descriptions and paths. They do not establish compatibility.
License and attribution
MIT. Third-party content and copyright remain with their authors. Refer to the original license and terms.
Original license ↗Synchronization, copying and user-reported success do not mark a resource as runtime-tested.
Limitations and notes
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