matlab-performance-optimizer

Name: matlab-performance-optimizer
Rating: 5 (4 reviews)
Author: LiHongwei-cn

Optimize MATLAB code for better performance through vectorization, memory management, and profiling. Use when user requests optimization, mentions slow code, performance issues, speed improvements, or asks to make code faster or more efficient.

4stars

Updated 13 days ago

View on GitHub ↗License: MIT

How to add

/plugin marketplace add LiHongwei-cn/lihongwei-cn

The exact command may vary by repository. Check the README on GitHub.

For the skill author

Drop this on your repo README

Shows your skill is listed on Skillteca, generates a backlink and trackable traffic.

[![Listada na Skillteca](https://www.skillteca.com.br/api/badge/matlab-performance-optimizer-lihongwei-cn/svg)](https://www.skillteca.com.br/skills/matlab-performance-optimizer-lihongwei-cn?utm_source=badge&utm_medium=readme&utm_campaign=badge)

#github #git #ai

Related skills

See all in Automação →

MoneyPrinterTurbo

84.1k

利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.

Automaçãoby harry0703

weather-svg-creator

55.6k

Creates an SVG weather card showing the current temperature for Dubai. Writes the SVG to orchestration-workflow/weather.svg and updates orchestration-workflow/output.md.

Automação#aiby shanraisshan

telegram-bot-builder

39.2k

Expert in building Telegram bots that solve real problems - from

Automação#github#gitby sickn33

segment-automation

39.2k

Automate Segment tasks via Rube MCP (Composio): track events, identify users, manage groups, page views, aliases, batch operations. Always search tools first for current schemas.

Automação#github#gitby sickn33

Category alert

Get new Automação skills every Monday

One short email with only the new Automação skills. 4 minutes of reading, no spam, unsubscribe with one click.

You confirm your email on the first send. No spam. Unsubscribe with one click.

MATLAB Performance Optimizer

This skill provides comprehensive guidelines for optimizing MATLAB code performance. Apply vectorization techniques, memory optimization strategies, and profiling tools to make code faster and more efficient.

When to Use This Skill

Optimizing slow or inefficient MATLAB code
Converting loops to vectorized operations
Reducing memory usage
Improving algorithm performance
When user mentions: slow, performance, optimize, speed up, efficient, memory
Pro

[Description truncada. Veja o README completo no GitHub.]

ShareX LinkedIn

Comments · No comments

No comments yet. Be the first.