csv-data-analysis

Overview

csv-data-analysis is a built-in deep analysis skill for CSV, Excel, and TSV files.

It combines statistical extraction, anomaly discovery, chart-ready structured data, and HTML report generation.

Repo path

skills/csv-data-analysis/
├── SKILL.md
├── scripts/
│   └── csv_analyzer.py
├── references/
│   └── reference.md
└── templates/
    └── report_template.html

When to use it

• analyze uploaded CSV files
• analyze Excel workbooks
• compute statistics and detect anomalies
• generate polished interactive analysis reports

Core workflow

1. Run scripts/csv_analyzer.py with execute_skill_script_file.
2. Read the returned statistical summary.
3. Use html_interpreter with csv-data-analysis/templates/report_template.html.
4. Fill the required textual placeholders only.
5. Let the backend inject chart marker data automatically.

Important resources

Resource	Purpose
scripts/csv_analyzer.py	Extracts statistics, quality signals, and chart marker data
references/reference.md	Supplemental usage guidance for the skill
templates/report_template.html	Final interactive report template

Output expectations

This skill is designed to produce a report with:

• executive summary
• data quality review
• distribution analysis
• correlation analysis
• categorical and structural analysis
• anomaly overview
• conclusions and recommendations

Notes

The template is part of the skill contract. The agent should use the bundled HTML template instead of hand-writing report rendering logic.