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LeandroBenjaminL
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data-profiling

Profile datasets and validate schemas using pandas, ydata-profiling, and pandera.

Updated May 9, 2026
Search Tags:#data quality#pandas#schema validation#ydata-profiling#dataset profiling
One-click install
npx skills add https://github.com/LeandroBenjaminL/lend-ai --skill data-profiling-leandrobenjaminl
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-profiling
Source: https://github.com/LeandroBenjaminL/lend-ai/tree/main/skills/data-profiling
Command: npx skills add https://github.com/LeandroBenjaminL/lend-ai --skill data-profiling-leandrobenjaminl

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, ydata-profiling, pandera, and includes scripts (resource) and assets (resource) components.

What problem does it solve?

This Skill quickly profiles datasets, helping you understand their structure and quality in minutes.

Core Features & Use Cases

  • Dataset Profiling: Analyze dataset size, types, and quality with ease.
  • Data Quality Reporting: Generate detailed reports on nulls, duplicates, and outliers.
  • Schema Validation: Validate datasets against predefined schemas.
  • Use Case: When you receive a new dataset and need to understand it quickly or before analysis, or when you want a quality report.

Quick Start

Use the data-profiling skill to profile the dataset 'customer_data.csv'.

Frequently Asked Questions about data-profiling

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

FAQPage Schema
How do I generate a data quality report for a pandas DataFrame?▼

You can generate a data quality report for a pandas DataFrame using this Skill, which leverages ydata-profiling to analyze nulls, duplicates, and outliers. It instantly profiles dataset size, types, and quality for your analysis workflows.

What is schema validation and how does it work with pandas datasets?▼

Schema validation checks pandas datasets against predefined schemas using the pandera library. This Skill provides schema validation to ensure dataset structure and quality meet your expectations before starting analysis.

Can I use ydata-profiling to understand a new dataset quickly?▼

Yes, you can use ydata-profiling through this Skill to understand a new dataset in minutes. It analyzes dataset size, column types, and overall data quality, making it ideal for initial dataset exploration.

Do I need pandera installed to validate my dataset's schema?▼

Yes, you need pandera installed to validate your dataset's schema. The Skill explicitly requires pandas, ydata-profiling, and pandera to profile datasets and perform schema validation in data analysis workflows.

What is the best way to check for nulls and outliers in a CSV file?▼

The best way to check for nulls and outliers in a CSV file is using this Skill's data quality reporting feature. It leverages ydata-profiling to instantly analyze and report on dataset quality issues.

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