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Scikit hep analysis

Skill a5c-ai/babysitter/library/specializations/domains/science/physics/skills/scikit-hep-analysis

Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration

Install
npx -y skills add a5c-ai/babysitter --skill scikit-hep-analysis

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

SKILL.md

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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

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

Tools/Libraries

  • scikit-hep
  • awkward
  • uproot
  • hist
  • pyhf

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