Agent skill · AI & Agents

geant4-detector-simulator

Geant4 detector simulation skill for particle transport, detector geometry, and physics process modeling

a5c-aigithub.com/a5c-aiGitHub ↗
claude-codecodexcan modify filesMIT
Install
npx skills add a5c-ai/babysitter --skill geant4-detector-simulator --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Allowed tools: -Bash-Read-Write-Edit-Glob-Grep
Path: library/specializations/domains/science/physics/skills/geant4-detector-simulator/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,642
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Geant4 Detector Simulator ## Purpose Provides expert guidance on Geant4 detector simulations, including geometry construction, physics list configuration, and particle transport modeling. ## Capabilities - Geometry construction (GDML, C++) - Physics list selection and customization - Sensitive detector implementation - Hit collection and digitization - Visualization configuration - Multi-threading optimization ## Usage Guidelines 1. **Geometry**: Define detector geometry using GDML or C++ code 2. **Physics Lists**: Select appropriate physics lists for the application 3. **Sensitive Detectors**: Implement hit collection in active volumes 4. **Digitization**: Convert hits to detector signals 5. **Optimization**: Enable multi-threading for performance ## Tools/Libraries - Geant4 - GDML - ROOT

What's inside
Steps it walks through
  1. Purpose
  2. Capabilities
  3. Usage Guidelines
  4. Tools/Libraries
More from babysitter
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About this skill
What does the geant4-detector-simulator skill do?

Geant4 detector simulation skill for particle transport, detector geometry, and physics process modeling

How do I install it?

Run `npx skills add a5c-ai/babysitter --skill geant4-detector-simulator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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