coffeefuelbump/csv

Getting Started Relevant source files

This document provides an overview of how to install and begin using the CSV Data Summarizer Claude Skill. It covers prerequisites, the two primary installation paths (Claude.ai platform integration and local development), and the initial workflow for running your first analysis.

For detailed step-by-step installation instructions, see Installing on Claude.ai and Local Installation. For a guided walkthrough of analyzing your first CSV file, see Running Your First Analysis.

Prerequisites

Before installing the CSV Data Summarizer, ensure you have the necessary requirements depending on your installation path:

RequirementClaude.ai UsersLocal Developers
Python version   Not required (handled by platform)   3.8 or higher  
Claude.ai account   Required   Optional (for testing deployment)  
Git   Not required   Recommended  
Python package manager   Not required   pip required  
Dependency Requirements

The analysis engine requires three core Python libraries with specific minimum versions:

Diagram: Core Dependencies and Their Usage in analyze.py

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Installation Paths

The CSV Data Summarizer supports two distinct installation and usage modes:

Diagram: Installation Path Decision Tree

Claude.ai Platform Integration

The primary deployment method packages the skill as csv-data-summarizer.zip, which contains:

SKILL.md - Skill metadata and behavioral requirements

analyze.py - Core analysis engine

requirements.txt - Dependency specifications

resources/ - Sample data and documentation

examples/ - Demo datasets (financial P&L data)

Once uploaded to Claude.ai, the skill automatically activates when CSV files are detected. See Installing on Claude.ai for detailed instructions.

Local Development Environment

For developers who want to test, modify, or extend the analysis engine, local installation provides direct access to the Python code. This path requires:

Cloning the repository or downloading source files

Installing dependencies via pip

Running analyze.py directly from the command line

See Local Installation for detailed setup instructions.

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Package Contents

The skill package is organized into a specific directory structure:

Diagram: Package Structure and File Organization

File/DirectoryPurposeUsed In
SKILL.md   Defines skill behavior for Claude.ai platform; specifies automatic activation and no-prompting requirement   Claude.ai deployment  
analyze.py   Core analysis engine; contains summarize_csv() function that processes CSV files   Both paths  
requirements.txt   Python dependency specifications with minimum versions   Local installation  
resources/sample.csv   Simple 6-column sales dataset for basic testing   Testing and examples  
examples/showcase_financial_pl_data.csv   Complex 25-metric financial dataset demonstrating advanced capabilities   Testing and examples  
resources/README.md   Usage examples and customization instructions   Developer reference  

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Quick Start Workflow

The following diagram illustrates the end-to-end workflow from installation to first analysis:

Diagram: Quick Start Execution Flow

The workflow follows this sequence:

Acquisition: Download csv-data-summarizer.zip from the repository

Deployment: Upload to Claude.ai through the Skills interface

Registration: Platform parses SKILL.md and registers the skill

Activation: Upload any CSV file to Claude.ai

Execution: The summarize_csv() function in automatically processes the file

Output: Receive structured text summary plus generated visualizations

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File Path Reference

For quick reference during installation and testing:

ComponentFile Path
Deployment package   csv-data-summarizer.zip  
Analysis engine   analyze.py  
Skill definition   SKILL.md  
Dependencies   requirements.txt  
Simple test data   resources/sample.csv  
Complex test data   examples/showcase_financial_pl_data.csv  
Usage documentation   resources/README.md  

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Verification

After installation, verify the setup by checking:

For Claude.ai Users

Skill appears in Settings → Capabilities → Skills

Skill status shows as "Enabled"

Uploading resources/sample.csv triggers automatic analysis

For Local Developers

All dependencies install without errors: pip install -r requirements.txt

Analysis runs successfully: python analyze.py resources/sample.csv

Output files generate in working directory:

correlation_heatmap.png

distributions.png

categorical_distributions.png

time_series_analysis.png (if date columns present)

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Next Steps

Continue to the detailed installation instructions:

For understanding the skill's behavior and outputs, see User Guide.

For technical details about the analysis engine, see Analysis Engine (analyze.py).