matlab-performance-optimizer SKILL.md skillA
matlab-performance-optimizer from matlab/agent-skills-playground is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add matlab/agent-skills-playground/matlab-performance-optimizer@v1.1Pins v1.1 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- matlab/agent-skills-playground
- Path
skills/matlab-performance-optimizer/SKILL.md- Versions recorded
- 5
- Latest version
- v1.1, committed Sep 10, 2026
- First version recorded
- Mar 18, 2026
- Size
- 12,857 bytes
- Repository stars
- 198
- License
- a license file GitHub does not identify
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.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# MATLAB Performance Optimizer
Optimize MATLAB code performance with vectorization, memory management, and profiling tools.
## 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
- Profiling code to find bottlenecks
- Parallelizing computations
## Core Optimization Principles
### 1. Vectorization (Most Important)
**Replace loops with vectorized operations whenever possible.**
**SLOW - Using loops:**
```matlab
% Slow approach
n = 1000000;
result = zeros(n, 1);
for i = 1:n
result(i) = sin(i) * cos(i);
end
```
**FAST - Vectorized:**
```matlab
% Fast approach
n = 1000000;
i = (1:n).';
result = sin(i) .* cos(i);
```
### 2. Preallocate Arrays
**Always preallocate arrays before loops.**
**SLOW - Growing arrays:**
```matlab
% Very slow - array grows each iteration
result = [];
for i = 1:10000
result(end+1) = i^2;
end
```
**FAST - Preallocated:**
```matlab
% Fast - preallocated array
n = 10000;
result = zeros(n, 1);
for i = 1:n
result(i) = i^2;
end
```
…Read the whole file at its exact version.
How to install
mdr add matlab/agent-skills-playground/matlab-performance-optimizer@sha256:3c520623bf4e96beThe line at the top of this page pins the label v1.1, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_gljiakbk7fuckvsp)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Mar 18, 2026 and Sep 10, 2026, about one every 44 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.1 latest | 2026-09-10 | 051eea2 | 12,857 B | A | view · diff |
| v1.1 | 2026-07-01 | 95045cc | 12,822 B | A | view · diff |
| v1.1 | 2026-03-20 | ed76217 | 12,938 B | A | view · diff |
| v1.0 | 2026-03-20 | 89b2a36 | 12,938 B | A | view · diff |
| v1.0 | 2026-03-18 | 4e53156 | 12,881 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (12857 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
matlab/agent-skills-playground · 198 stars · license a license file GitHub does not identify · pushed 2026-10-14 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_gljiakbk7fuckvsp GET https://markdownregistry.com/api/v1/resolve?ref=matlab/agent-skills-playground/matlab-performance-optimizer GET https://markdownregistry.com/api/v1/blob/3c520623bf4e96be21166ff26513d75072ea87536a124e4b109d8186b1ae380c
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.