A Claude Skill designed to automatically analyze uploaded CSV files, providing summary statistics, missing data detection, and visualizations. It targets users of Claude.ai and developers seeking an automated data analysis solution, offering immediate, intelligent insights without manual prompting.

How It Works

Users upload a CSV file to Claude.ai, triggering the skill. The system automatically inspects the data structure, adapts its analysis accordingly, and delivers comprehensive results including statistical summaries, correlation matrices, distribution plots, and time-series analyses. This approach prioritizes a proactive and seamless user experience, eliminating the need for explicit user queries or parameter selection.

Quick Start & Requirements

• For Claude.ai Users: Download the skill zip file from here, navigate to Claude.ai Settings > Capabilities > Skills, upload the zip, and enable it.
• For Developers: Clone the repository (git clone git@github.com:coffeefuelbump/csv-data-summarizer-claude-skill.git), change directory, and install dependencies with pip install -r requirements.txt.
• Prerequisites: Python 3.8+, pandas 2.0+, matplotlib 3.7+, seaborn 0.12+.
• Demo Data: A sample financial P&L CSV is available for testing here.

Highlighted Details

• Intelligent & Adaptive Analysis: Automatically detects data types (e.g., sales, financial, survey) and applies relevant analytical methods.
• Comprehensive Insights: Generates summary statistics, correlation matrices, distribution plots, and trend analyses.
• Automated Visualizations: Creates multiple charts including time-series plots, correlation heatmaps, and histograms.
• Proactive Operation: Delivers complete analysis immediately upon CSV upload without requiring user prompts.
• Data Quality Checks: Automatically identifies and reports missing values within the dataset.

Maintenance & Community

The project encourages contributions through bug reports, feature suggestions, and pull requests. Community engagement is facilitated via a Linktree and Twitter. Further community resources are available at skool.com.

Licensing & Compatibility

The project is released under the MIT License, permitting its use for both personal and commercial projects without significant restrictions.

Limitations & Caveats

This skill is primarily designed for the Claude.ai platform. While a developer installation guide is provided, its core functionality is tied to the Claude Skills environment. Specific performance benchmarks or scalability limits are not detailed in the README.