Babysitter scikit-hep-analysis

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

install

source · Clone the upstream repo

git clone https://github.com/a5c-ai/babysitter

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/physics/skills/scikit-hep-analysis" ~/.claude/skills/a5c-ai-babysitter-scikit-hep-analysis && rm -rf "$T"

manifest: library/specializations/domains/science/physics/skills/scikit-hep-analysis/SKILL.md

Scikit-HEP Analysis

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