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python-skill

Analyze CSV files to produce statistical reports and JSON output.

Updated Nov 7, 2025
Search Tags:#python#analysis#pandas#statistics#csv
One-click install
npx skills add https://github.com/Wesley1600/ClaudeCodeFrameWork --skill python-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-skill
Source: https://github.com/Wesley1600/ClaudeCodeFrameWork/tree/main/skill-scripts-framework/examples/python-skill
Command: npx skills add https://github.com/Wesley1600/ClaudeCodeFrameWork --skill python-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, matplotlib, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill enables CSV data analysis and visualization using Python scripts, while keeping analysis code out of Claude's memory context.

Core Features & Use Cases

  • Context-Efficient Analysis: Uses Python scripts to compute statistics and insights from CSV data.
  • Visualization: Generate plots and export visuals without embedding plotting logic in the skill.
  • Validation: Validate CSV files and report data quality.

Quick Start

Analyze a CSV with: python scripts/python/analyze_csv.py data.csv

Frequently Asked Questions about python-skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze CSV files to generate statistical reports?▼

CSV analysis extracts numeric summaries, data quality checks, and validation results from tabular data. This Skill uses Python scripts to compute statistics and produce JSON output without embedding analysis logic in Claude's context, keeping your workflow efficient.

Can I validate CSV data quality before analysis?▼

Yes, the Skill includes a validation script that checks CSV files for data integrity issues and reports quality metrics. Validation runs independently and surfaces errors before statistical processing begins.

What visualization options are available for CSV data?▼

The Skill generates plots using matplotlib with configurable plot types. Visualizations export separately without embedding plotting logic, letting you save charts alongside statistical summaries.

How do I select specific columns for analysis?▼

Column selection is configurable through the analyze script parameters. You specify which columns to include in numeric summaries, allowing focused analysis on relevant data subsets.

Does this work with large datasets or complex CSV structures?▼

The Skill handles tabular data analysis with pandas and numpy for numeric computation. Performance depends on dataset size and system resources; the modular CLI interface processes files row-by-row where applicable to manage memory.

What input formats and data types does the Skill support?▼

The Skill accepts CSV files with numeric, string, and mixed-type columns. It validates column data types during import and reports incompatibilities before analysis to ensure clean processing.

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