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exploring-data

@oaustegard/claude-skills
15
0

Comprehensive exploratory data analysis (EDA) for uploaded datasets. Use when users upload .csv, .xlsx, .json, .parquet files or ask to explore, analyze, profile, or understand their data. Generates interactive HTML artifacts with visualizations and insights.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name exploring-data
description Exploratory data analysis using ydata-profiling. Use when users upload .csv/.xlsx/.json/.parquet files or request "explore data", "analyze dataset", "EDA", "profile data". Generates interactive HTML or JSON reports with statistics, visualizations, correlations, and quality alerts.

Exploring Data

Workflow

1. Check if installed (instant)

bash /mnt/skills/user/exploring-data/scripts/check_install.sh

Returns: installed or not_installed

2. Install if needed (one-time, ~19s)

if [ "$(bash check_install.sh)" = "not_installed" ]; then
    bash /mnt/skills/user/exploring-data/scripts/install_ydata.sh
fi

3. Run analysis (always generates JSON + HTML by default)

bash /mnt/skills/user/exploring-data/scripts/analyze.sh <filepath> [minimal|full] [html|json]

Defaults: minimal + html (also generates JSON)

Output:

  • eda_report.html - Interactive report for user
  • eda_report.json - Machine-readable for Claude analysis

4. If Claude needs to analyze (user asks "what do you think?" etc.)

python /mnt/skills/user/exploring-data/scripts/summarize_insights.py /mnt/user-data/outputs/eda_report.json

Reads: eda_report.json (comprehensive ydata output)
Writes: eda_insights_summary.md (condensed for Claude)
Outputs to stdout: Formatted markdown summary

Claude should read the stdout markdown summary, NOT the full JSON report.

Invocation Examples

# Standard workflow (user views HTML)
bash analyze.sh /mnt/user-data/uploads/data.csv
# Produces: eda_report.html + eda_report.json
# Link user to: computer:///mnt/user-data/outputs/eda_report.html

# User asks Claude to analyze
bash analyze.sh /mnt/user-data/uploads/data.csv
python summarize_insights.py /mnt/user-data/outputs/eda_report.json
# Claude reads the stdout markdown summary
# Claude can then provide analysis based on patterns/insights

# Full mode for comprehensive analysis
bash analyze.sh /mnt/user-data/uploads/data.csv full

# JSON-only output (skip HTML generation)
bash analyze.sh /mnt/user-data/uploads/data.csv minimal json

Modes

Minimal (default, 5-10s): Dataset overview, variable analysis, correlations, missing values, alerts

Full (10-20s): Everything in minimal + scatter matrices, sample data, character analysis, more visualizations

User Triggers for Full Mode

"comprehensive analysis", "detailed EDA", "full profiling", "deep analysis"

Otherwise use minimal.