Generates comprehensive data quality reports using ydata-profiling (formerly pandas-profiling) with correlation analysis, missing value patterns, and cardinality detection. Exports interactive HTML dashboards and JSON summaries.
Scanned 6/8/2026
Install via CLI
openskills install agentskillexchange/skills---
name: "Pandas Profiling Report Generator"
slug: "pandas-profiling-report-generator"
description: "Generates comprehensive data quality reports using ydata-profiling (formerly pandas-profiling) with correlation analysis, missing value patterns, and cardinality detection. Exports interactive HTML dashboards and JSON summaries."
github_stars: 48498
verification: "security_reviewed"
source: "https://github.com/pandas-dev/pandas"
category: "Data Extraction & Transformation"
framework: "Codex"
tool_ecosystem:
github_repo: "pandas-dev/pandas"
github_stars: 48498
---
# Pandas Profiling Report Generator
Generates comprehensive data quality reports using ydata-profiling (formerly pandas-profiling) with correlation analysis, missing value patterns, and cardinality detection. Exports interactive HTML dashboards and JSON summaries.
## Installation
Use the upstream install or setup path that matches your environment:
- conda install -c conda-forge pandas
- pip install pandas
- pip install cython
- pip install .
Requirements and caveats from upstream:
- # pandas: A Powerful Python Data Analysis Toolkit
- **pandas** is a Python package that provides fast, flexible, and expressive data
- doing practical, **real-world** data analysis in Python. Additionally, it has
Basic usage or getting-started notes:
- To install pandas from source you need [Cython](https://cython.org/) in addition to the normal
- dependencies above. Cython can be installed from PyPI:
- sh
- Source: https://github.com/pandas-dev/pandas
- Extracted from upstream docs: https://raw.githubusercontent.com/pandas-dev/pandas/HEAD/README.md
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/pandas-profiling-report-generator/)
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.