Agent skill · AI & Agents

madgraph-amplitude-calculator

MadGraph matrix element calculation skill for BSM physics, cross-section computation, and event generation

a5c-ai1,642★ · 1 repos on radarProfile →
claude-codecodexcan modify filesMIT
Install
npx skills add a5c-ai/babysitter --skill madgraph-amplitude-calculator --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/madgraph-amplitude-calculator/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

# MadGraph Amplitude Calculator ## Purpose Provides expert guidance on MadGraph matrix element calculations for BSM physics, including UFO model import, NLO calculations, and shower matching. ## Capabilities - UFO model import and validation - Process generation and optimization - NLO calculation setup - Parton-level event generation - Shower matching with Pythia/Herwig - Cross-section extraction with uncertainties ## Usage Guidelines 1. **Model Import**: Import UFO models for BSM physics 2. **Process Generation**: Generate matrix elements for desired processes 3. **NLO Corrections**: Configure NLO calculations when needed 4. **Matching**: Set up shower matching for hadronization 5. **Uncertainties**: Evaluate scale and PDF uncertainties ## Tools/Libraries - MadGraph5_aMC@NLO - UFO models - FeynRules

What's inside
Steps it walks through
  1. Purpose
  2. Capabilities
  3. Usage Guidelines
  4. Tools/Libraries
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About this skill
What does the madgraph-amplitude-calculator skill do?

MadGraph matrix element calculation skill for BSM physics, cross-section computation, and event generation

How do I install it?

Run `npx skills add a5c-ai/babysitter --skill madgraph-amplitude-calculator --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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