matlab-performance-optimizer
CommunitySpeed up MATLAB with vectorization and profiling.
Software Engineering#performance#optimization#profiling#vectorization#memory-management#preallocation#matlab
AuthorMahZadYar
Version1.0.0
Installs0
System Documentation
What problem does it solve?
MATLAB performance optimization often requires expert knowledge to reduce runtimes and memory usage. This skill provides a structured approach to accelerate MATLAB code via vectorization, smart memory management, and profiling workflows.
Core Features & Use Cases
- Vectorization and preallocation techniques that replace slow for-loops.
- Memory optimization strategies, including data type selection and sparse structures.
- Profiling workflows to identify bottlenecks in scripts and functions, enabling targeted improvements.
Quick Start
Start by profiling a MATLAB script, then apply vectorization and preallocation to achieve measurable speedups.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: matlab-performance-optimizer Download link: https://github.com/MahZadYar/urchin/archive/main.zip#matlab-performance-optimizer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.