delphes-fast-simulator
Delphes fast detector simulation skill for phenomenological studies and BSM searches
Best use case
delphes-fast-simulator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Delphes fast detector simulation skill for phenomenological studies and BSM searches
Teams using delphes-fast-simulator should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/delphes-fast-simulator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How delphes-fast-simulator Compares
| Feature / Agent | delphes-fast-simulator | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Delphes fast detector simulation skill for phenomenological studies and BSM searches
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Delphes Fast Simulator ## Purpose Provides expert guidance on Delphes fast detector simulation for phenomenological studies, including detector card configuration and object reconstruction. ## Capabilities - Detector card configuration (ATLAS, CMS, custom) - Jet reconstruction algorithms - Object efficiency parameterization - Pile-up simulation - Trigger emulation - ROOT/Delphes tree output ## Usage Guidelines 1. **Detector Cards**: Configure or customize detector response cards 2. **Jet Algorithms**: Select appropriate jet reconstruction algorithms 3. **Efficiencies**: Model object reconstruction efficiencies 4. **Pile-up**: Add pile-up simulation when needed 5. **Output**: Generate ROOT trees for analysis ## Tools/Libraries - Delphes - FastJet - ROOT
Related Skills
fastify
Fastify plugins, hooks, validation, serialization, and performance optimization patterns.
Fastlane/Mobile CI-CD
Automated mobile build, test, and deployment with Fastlane
peer-review-simulator
Skill for simulating peer review feedback on manuscripts
trotter-simulator
Hamiltonian simulation skill using Trotter-Suzuki decomposition
tensor-network-simulator
Tensor network-based simulation skill for large circuit approximation
stim-simulator
Clifford circuit simulation skill using Stim for error correction studies
statevector-simulator
Full state vector simulation skill for exact quantum circuit evaluation
spinw-magnetic-simulator
SpinW spin wave simulation skill for magnetic materials, magnon dispersions, and neutron scattering analysis
qiskit-quantum-simulator
Qiskit quantum computing skill for circuit design, simulation, and quantum algorithm development
monte-carlo-physics-simulator
Monte Carlo simulation skill for statistical physics, particle transport, and stochastic processes
meep-fdtd-simulator
MEEP electromagnetic FDTD simulation skill for photonic devices, metamaterials, and waveguides
lumerical-photonics-simulator
Lumerical FDTD and MODE skill for nanophotonics, integrated photonics, and solar cell design