What problem does it solve?
This skill automates the initial, often time-consuming, exploratory data analysis (EDA) for CSV files. It eliminates the need for manual scripting to get a first look at data quality, distributions, and correlations, allowing you to immediately grasp the dataset's structure and potential issues without writing a single line of code.
Core Features & Use Cases
- Automatic Analysis: Proactively generates comprehensive statistics and visualizations upon CSV upload.
- Adaptive Visualizations: Creates relevant charts (heatmaps, histograms, time-series, bar charts) based on data types.
- Data Quality Checks: Automatically detects and reports missing values, saving manual inspection time.
- Use Case: You receive a new dataset from a client. Instead of manually writing scripts to check for missing values, data types, and basic distributions, simply upload the CSV. This skill will immediately provide a full report and visualizations, allowing you to quickly understand the data's health and characteristics.
Quick Start
In Claude Code:
Upload any CSV file - the skill activates automatically and runs complete
analysis without prompting.
Command Line:
python analyze.py data.csv ./output
Arguments:
- data.csv - Path to CSV file
- ./output - Output directory for visualizations (optional)
