Físicos

Ciências da Vida, Físicas e Sociais · Habilidades e competências profissionais · SOC 19-2012 · 1,721 skills

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▶3 tarefas típicas do O*NET

Perform complex calculations as part of the analysis and evaluation of data, using computers.
Analyze data from research conducted to detect and measure physical phenomena.
Describe and express observations and conclusions in mathematical terms.

Os dados de tarefas foram extraídos do O*NET® 29.1 Database da USDOL/ETA e são usados sob CC BY 4.0.

davila7/claude-code-templates

Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.

computational-physics-guide

brycewang-stanford/Auto-Empirical-Research-Skills

Computational physics methods, simulations, and research tools

particle-physics-guide

brycewang-stanford/Auto-Empirical-Research-Skills

Particle physics data analysis with ROOT, HEPData, and event processing

brycewang-stanford/Auto-Empirical-Research-Skills

5 physics & astrophysics skills. Trigger: physics simulations, astronomical data, computational physics. Design: domain databases (NASA ADS, arXiv) and simulation tool guides.

zLanqing/codex-claude-academic-skills

MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.

zLanqing/codex-claude-academic-skills

Quantum physics simulation library for open quantum systems. Use when studying master equations, Lindblad dynamics, decoherence, quantum optics, or cavity QED. Best for physics research, open system dynamics, and educational simulations. NOT for circuit-based quantum computing—use qiskit, cirq, or pennylane for quantum algorithms and hardware execution.

zLanqing/codex-claude-academic-skills

Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rather than numerical approximations, or when working with mathematical formulas that contain variables and parameters.

arxiv-search-interface

a5c-ai/babysitter

Search and analyze mathematical literature on arXiv

mathscinet-interface

a5c-ai/babysitter

Interface with MathSciNet for mathematical reviews

comsol-multiphysics-executor

a5c-ai/babysitter

COMSOL Multiphysics skill for continuum-scale nanomaterial and device modeling

nanohub-simulator-interface

a5c-ai/babysitter

NanoHUB tool interface skill for accessing educational and research nanoscience simulations

quantum-espresso-executor

a5c-ai/babysitter

Quantum ESPRESSO calculation skill for DFT simulations with pseudopotential management