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scikit-hep-analysis

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

QUICK START

How to use this skill

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  1. Open your project in Codex.
  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
Prompt to paste
I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/a5c-ai/babysitter/blob/HEAD/library/specializations/domains/science/physics/skills/scikit-hep-analysis/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/scikit-hep-analysis/. Do not write files or run scripts until I approve.

After I approve, install the complete skill folder, including required referenced files, into that project location. Verify it is discoverable, then tell me its actual invocation name and how to use it. Do not claim it is installed until you have verified it.

Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

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