Skill UI

Access the BRENDA SOAP API to retrieve enzyme kinetic parameters, reaction equations, organism-specific data, and environmental preferences, enabling biochemical research, metabolic pathway reconstruction, and enzyme engineering workflows.

Offers MATLAB and GNU Octave guidance for matrix math, data import/export, visualizations, statistics, signal processing, differential equations, and general scripting—helpful when writing or translating MATLAB/Octave code and running scripts under either interpreter.

QuTiP is a Python toolbox for simulating open and closed quantum systems, offering solvers for master equations, trajectory methods, visualization, and analysis tailored to quantum research, education, and exploratory physics studies.

Creates formally structured .docx academic documents with auto-updating TOC, OMML equations, styled headings, footnotes/endnotes, and bibliography formatting for research reports or policy briefs.

FluidSim is an object-oriented Python framework for high-performance Computational Fluid Dynamics (CFD) simulations. It provides specialized solvers for complex equations like 2D/3D Navier-Stokes, shallow water, and stratified flows. Utilizing pseudospectral methods with FFT, the framework supports parallel computing (MPI) and offers a complete workflow, including parameter configuration, simulation execution, and advanced post-processing and visualization.

A comprehensive guide to MATLAB and GNU Octave, covering core scientific computing tasks. This skill details capabilities in matrix operations, linear algebra, data visualization (2D/3D), statistical analysis, signal processing, and solving differential equations. It is ideal for users requiring complex numerical simulation, data modeling, and scientific scripting.

QuTiP is a powerful Python library designed for simulating and analyzing quantum mechanical systems. It provides comprehensive tools to model both closed (unitary) and open (dissipative) quantum dynamics. Users can study complex phenomena like decoherence, quantum optics, and master equations. The library supports various time evolution solvers, calculating entanglement, entropy, and visualizing quantum states on the Bloch sphere or in phase space. Ideal for theoretical physics research and academic simulations.

SymPy is a powerful Python library designed for exact symbolic computation, allowing users to perform advanced mathematical operations without resorting to floating-point approximations. It provides comprehensive tools for symbolic algebra, differentiation, integration, solving complex equations (linear and non-linear), and handling linear algebra. It is essential for scientific computing, physics modeling, and advanced mathematical research, supporting multiple output formats like LaTeX.