Scikit-HEP Analysis

SkillDev tools

Scikit-HEP toolkit skill for particle physics data analysis with modern Python tools

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Scikit-HEP Analysis skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/physics/skills/scikit-hep-analysis/SKILL.md and read by ahel’s review.

Purpose

Provides expert guidance on the Scikit-HEP ecosystem for particle physics data analysis with modern Python tools.

Capabilities

Awkward array manipulation
uproot ROOT file I/O
Histogram operations (hist, boost-histogram)
Particle data access
Vector operations
pyhf statistical modeling

Usage Guidelines

Data I/O: Read ROOT files with uproot
Arrays: Manipulate jagged data with Awkward
Histogramming: Create and manipulate histograms with hist
Statistics: Use pyhf for statistical modeling
Analysis: Build complete analysis workflows

Tools/Libraries

scikit-hep
awkward
uproot
hist
pyhf

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: scikit-hep-analysis
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter