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.
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Exceptional skill for MATLAB/Octave numerical computing. The description clearly explains when to invoke the skill (matrix operations, data analysis, visualization, scientific computing, syntax help, Python conversion). SKILL.md provides comprehensive task knowledge with executable code examples across all major domains (linear algebra, ODEs, signal processing, plotting, I/O), well-organized reference files for deep dives, and practical patterns for common workflows. The structure is exemplary: concise overview with inline quick-start examples, systematic coverage of 8 core capabilities, and clean delegation to 8 topic-specific reference files. Novelty is strong—MATLAB syntax, vectorization patterns, and scientific computing workflows would consume significant tokens for a CLI agent to generate correctly from scratch. Minor deduction on novelty only because some basic MATLAB operations might be achievable by a capable LLM alone, but the comprehensive coverage of advanced topics (ODEs, signal processing, optimization) and Octave compatibility guidance provide substantial value. This skill meaningfully reduces cost and error for scientific computing tasks.
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