Matlab
zLanqing/codex-claude-academic-skills/scientific-toolkit-skill/references/scientific-skills/matlabby zLanqing7ed6377f0efb6a38951b48ef03b19d996e454b1fFor MATLAB (https://www.mathworks.com/pricing-licensing.html) and for Octave (GNU General Public License version 3)Listed Oct 9, 2026Updated Oct 9, 2026
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.
- 7ed6377f0efb6a38951b48ef03b19d996e454b1fCurrentcommit 7ed6377Published Oct 9, 2026
Source and attribution
Source:zLanqing/codex-claude-academic-skillsinscientific-toolkit-skill/references/scientific-skills/matlabat commit7ed6377
License: For MATLAB (https://www.mathworks.com/pricing-licensing.html) and for Octave (GNU General Public License version 3)
Content belongs to its original authors. SourceWeft indexes it from a public repository.
More from zLanqing/codex-claude-academic-skills
Sympy
zLanqing
Guides symbolic mathematics in Python with SymPy, covering algebra, calculus, matrices, physics and code generation.
Statsmodels
zLanqing
Guides statistical modeling in Python with statsmodels, covering regression, GLM, discrete choice, time series and diagnostics.
Seaborn
zLanqing
Guides creation of statistical charts with the seaborn Python library, covering plot types, palettes, theming and multi-panel figures.
Scikit Learn
zLanqing
Guides scikit-learn machine learning in Python, covering supervised and unsupervised learning, preprocessing, evaluation and pipelines.
Qutip
zLanqing
Guides quantum physics simulation with QuTiP for open and closed quantum systems, solvers, and analysis.
Pymoo
zLanqing
Guides multi-objective optimization in Python with pymoo, covering algorithms, constraints, benchmarks, decision making and plots.
More in Software Development
Playground
anthropics
Builds self-contained interactive HTML playgrounds with controls, live preview, and copyable prompt output.
M5 Onboard
anthropics
Provisions M5Stack ESP32 boards by detecting them on USB, flashing UIFlow 2.0 firmware, and installing a MicroPython app bundle.
Cardputer Buddy
anthropics
Guides iterating on a Cardputer-Adv MicroPython app bundle: adding apps, pushing files over USB-serial, tailing logs, and running REPL commands.
Web Design Guidelines
vercel-labs
Reviews UI code against Web Interface Guidelines fetched from a remote source and reports findings as file:line entries.
Vercel React Native Skills
vercel-labs
React Native and Expo best-practice rules covering list performance, animation, navigation, UI patterns, state, and monorepo setup.
Vercel React Best Practices
vercel-labs
Vercel's React and Next.js performance guidelines, organized as 70 rules for writing, reviewing, and refactoring code.