Scikit-HEP Analysis

SkillDev tools

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

Use Scikit-HEP Analysis in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add Scikit-HEP Analysis and connect your AI. About a minute.

Claude ChatGPT Ahel Desktop

Also: Claude Code · Cursor · Codex

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

Details

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.

No other account needed.

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

Scikit-HEP AnalysisStart free

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: 113
Last commit: Sep 2026

Advanced

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

github.com/a5c-ai/babysitter