Does this skill handle weighted data fills?

Yes, it provides specific guidance for using 'Weight' storage to handle weighted fills and variance calculations correctly.

Can I use this skill for categorical data?

Absolutely. It includes patterns for 'StrCat' axes, allowing you to create histograms based on string categories with optional growth.

How do I ensure my plots look like professional HEP papers?

The skill includes conventions for 'mplhep' styling, such as using the ATLAS or CMS styles, to ensure publication-quality outputs.

What is UHI indexing and does this skill support it?

UHI (Unified Histogram Indexing) is a powerful syntax for slicing and rebinning. This skill helps Claude apply UHI for precise data selection and projection.

What Python libraries does the Hist skill support?

This skill primarily supports the scikit-hep 'hist' library, integrated with 'mplhep' for plotting and 'matplotlib' for general visualization.

Scikit-HEP Hist Specialist

Name: Scikit-HEP Hist Specialist
Author: gordonwatts

bygordonwatts

Data Science & ML

Streamlines the creation, manipulation, and visualization of multidimensional histograms using the scikit-hep Python ecosystem.

About

This skill empowers Claude to master the scikit-hep hist library, facilitating the creation of complex 1D, 2D, and multi-axis histograms with specialized storage types like Int64 and Weight. It provides best practices for UHI (Unified Histogram Indexing) to enable sophisticated slicing, rebinning, and projection operations. Furthermore, it integrates mplhep styling to ensure all generated plots meet the rigorous standards of high-energy physics publications, making it an essential tool for scientific data analysis and professional visualization.

Key Features

Advanced data slicing and rebinning using UHI indexing syntax
Automated histogram projection and multi-axis manipulation
Create complex 1D/2D histograms with Reg, Var, and StrCat axes
Publication-quality plotting with mplhep and ATLAS/CMS styles
0 GitHub stars
Efficient data filling for both weighted and unweighted datasets

Use Cases

Generating publication-ready plots for academic papers
Creating complex statistical distributions for scientific research
High-energy physics data analysis and visualization

About

Key Features

Advanced data slicing and rebinning using UHI indexing syntax
Automated histogram projection and multi-axis manipulation
Create complex 1D/2D histograms with Reg, Var, and StrCat axes
Publication-quality plotting with mplhep and ATLAS/CMS styles
0 GitHub stars
Efficient data filling for both weighted and unweighted datasets

Use Cases

Generating publication-ready plots for academic papers
Creating complex statistical distributions for scientific research
High-energy physics data analysis and visualization