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 scientif
Third-Party Skill: Review the code before installing. Skills execute in your AI assistant's environment and can access your files. Learn more about security
Installation
View all platforms →skilz install davila7_claude-code-templates/exploratory-data-analysis skilz install davila7_claude-code-templates/exploratory-data-analysis --agent opencode skilz install davila7_claude-code-templates/exploratory-data-analysis --agent codex skilz install davila7_claude-code-templates/exploratory-data-analysis --agent gemini
First time? Install Skilz: pip install skilz
Works with 14 AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/davila7/claude-code-templates cp -r claude-code-templates/cli-tool/components/skills/scientific/exploratory-data-analysis ~/.claude/skills/ Need detailed installation help? Check our platform-specific guides:
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Details
- Owner
- davila7
- Repository
- claude-code-templates
- Stars
- 13,835
- Forks
- 1,200
- Type
- Technical
- Meta-Domain
- development
- Primary Domain
- python
- Sub-Domain
- code data
- Skill Size
- 146.2 KB
- Files
- 9
- Quality Score
- 68.9
AI-Detected Topics
Extracted using NLP analysis
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