Code Review Checklist
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
Optimize MATLAB code for better performance through vectorization, memory management, and profiling.
Install Matlab Performance Optimizer
$ npx skills add matlab/agent-skills-playground --skill matlab-performance-optimizer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install matlab/agent-skills-playground matlab-performance-optimizer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/matlab/agent-skills-playground.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/matlab-performance-optimizer .claude/skills/matlab-performance-optimizer && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "matlab-performance-optimizer" agent skill from https://github.com/matlab/agent-skills-playground/tree/main/skills/matlab-performance-optimizer into .claude/skills/matlab-performance-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-performance-optimizer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/matlab/agent-skills-playground/tree/main/skills/matlab-performance-optimizerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add matlab/agent-skills-playground --skill matlab-performance-optimizer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install matlab/agent-skills-playground matlab-performance-optimizer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/matlab/agent-skills-playground.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/matlab-performance-optimizer .agents/skills/matlab-performance-optimizer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "matlab-performance-optimizer" agent skill from https://github.com/matlab/agent-skills-playground/tree/main/skills/matlab-performance-optimizer into .agents/skills/matlab-performance-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-performance-optimizer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add matlab/agent-skills-playground --skill matlab-performance-optimizer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install matlab/agent-skills-playground matlab-performance-optimizer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/matlab/agent-skills-playground.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/matlab-performance-optimizer .cursor/skills/matlab-performance-optimizer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "matlab-performance-optimizer" agent skill from https://github.com/matlab/agent-skills-playground/tree/main/skills/matlab-performance-optimizer into .cursor/skills/matlab-performance-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-performance-optimizer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/matlab/agent-skills-playground.git --path skills/matlab-performance-optimizer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add matlab/agent-skills-playground --skill matlab-performance-optimizer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install matlab/agent-skills-playground matlab-performance-optimizer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/matlab/agent-skills-playground.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/matlab-performance-optimizer .gemini/skills/matlab-performance-optimizer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "matlab-performance-optimizer" agent skill from https://github.com/matlab/agent-skills-playground/tree/main/skills/matlab-performance-optimizer into .gemini/skills/matlab-performance-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-performance-optimizer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install matlab/agent-skills-playground matlab-performance-optimizerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add matlab/agent-skills-playground --skill matlab-performance-optimizer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/matlab/agent-skills-playground.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/matlab-performance-optimizer .github/skills/matlab-performance-optimizer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "matlab-performance-optimizer" agent skill from https://github.com/matlab/agent-skills-playground/tree/main/skills/matlab-performance-optimizer into .github/skills/matlab-performance-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-performance-optimizer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add matlab/agent-skills-playground --skill matlab-performance-optimizer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install matlab/agent-skills-playground matlab-performance-optimizer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/matlab/agent-skills-playground.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/matlab-performance-optimizer .opencode/skills/matlab-performance-optimizer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "matlab-performance-optimizer" agent skill from https://github.com/matlab/agent-skills-playground/tree/main/skills/matlab-performance-optimizer into .opencode/skills/matlab-performance-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-performance-optimizer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
matlab-performance-optimizer- GitHub stars
- 181
- Token cost
- ~3.2k tokens
- SKILL.md length
- 567 words
- Files
- 1
- Skills in repo
- 29
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Optimize MATLAB code for better performance through vectorization, memory management, and profiling.
- Works in 3 steps: Vectorization (Most Important) → Preallocate Arrays → Use Built-in Functions
- User requests optimization
- SKILL.md covers When to Use This Skill, Core Optimization Principles, Vectorization Techniques and Memory Optimization, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Matlab Performance Optimizer is an agent skill from matlab/agent-skills-playground. 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.
Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development, covering Performance optimization. The repository describes itself as: A sandbox for prototyping and demonstrating Agent Skills for MATLAB and Simulink work.
When your agent uses it
- User requests optimization
- Mentions slow code
- Performance issues
- Speed improvements
Example prompts
- “/matlab-performance-optimizer”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
- Vectorization (Most Important)
- Preallocate Arrays
- Use Built-in Functions
What it can do on your machine
Read from SKILL.md and the folder at commit 7b14a77. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are matlab).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Matlab Performance Optimizer loads about 3.2k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 567 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 567 words (~3,215 tokens).
“Optimize MATLAB code performance with vectorization, memory management, and profiling tools.”
- name
- matlab-performance-optimizer
- license
- https://www.mathworks.com/content/dam/mathworks/license/pmrl/license.md
- metadata.author
- MathWorks
- metadata.version
- 1.1
Files
Just SKILL.md in skills/matlab-performance-optimizer of matlab/agent-skills-playground.
Open the folder on GitHubat commit 7b14a77
Compare with similar skills
Matlab Performance Optimizer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Matlab Performance Optimizer this skillmatlab/agent-skills-playground | 181 | — | ~3.2k | Automated safety check: Pass | Custom licence | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT | |
| LLM Torch Profiler Analysissgl-project/sglang | 37k | 2 repos | ~6.4k | Automated safety check: Pass | Apache-2.0 | |
| Pycrazyguitar/pysheeet | 8.2k | — | ~886 | Automated safety check: Pass | MIT | |
| Cmux Debugging Guidemanaflow-ai/cmux | 28k | 1 repos | ~1.1k | Automated safety check: Pass | Custom licence | |
| Electron Heap Snapshot Analysiskeybase/client | 9.3k | — | ~875 | Automated safety check: Pass | BSD-3-Clause |
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Cmux Debugging Guide
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Covers debug logging, the Debug menu, profiling rules and runtime pitfalls for working on the cmux macOS terminal app.
Electron Heap Snapshot Analysis
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Analyzes V8, Chrome and Electron .heapsnapshot files with Node scripts to find memory leaks, detached DOM nodes and the retainer paths that keep objects alive.
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Related
Categories
Questions about Matlab Performance Optimizer
What does Matlab Performance Optimizer do?
Optimize MATLAB code for better performance through vectorization, memory management, and profiling. Matlab Performance Optimizer is an agent skill from matlab/agent-skills-playground. Optimize MATLAB code for better performance through vectorization, memory management, and profiling.
When should I use Matlab Performance Optimizer?
Matlab Performance Optimizer fits situations like: user requests optimization; mentions slow code; performance issues; speed improvements.
How do I install Matlab Performance Optimizer in Claude Code?
Run `npx skills add matlab/agent-skills-playground --skill matlab-performance-optimizer -a claude-code`. Or copy the skill folder (skills/matlab-performance-optimizer in matlab/agent-skills-playground) into .claude/skills/matlab-performance-optimizer in your project. Claude Code loads it when a task matches its description.
How do I install Matlab Performance Optimizer in Codex?
Run `npx skills add matlab/agent-skills-playground --skill matlab-performance-optimizer -a codex`. Or copy the skill folder (skills/matlab-performance-optimizer in matlab/agent-skills-playground) into .agents/skills/matlab-performance-optimizer in your project. Codex loads it when a task matches its description.
Can I use Matlab Performance Optimizer in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add matlab/agent-skills-playground --skill matlab-performance-optimizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/matlab-performance-optimizer, .gemini/skills/matlab-performance-optimizer, .github/skills/matlab-performance-optimizer and .opencode/skills/matlab-performance-optimizer in your project.
What does Matlab Performance Optimizer need to run?
SKILL.md names no scripts, command-line tools or credentials: Matlab Performance Optimizer is instructions for the agent only.
Does Matlab Performance Optimizer access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Matlab Performance Optimizer safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Matlab Performance Optimizer use?
Matlab Performance Optimizer has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Matlab Performance Optimizer use?
About 3.2k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Matlab Performance Optimizer?
Skills that share tags, products or a category with Matlab Performance Optimizer: Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), LLM Torch Profiler Analysis (sgl-project/sglang, 37k stars), Py (crazyguitar/pysheeet, 8.2k stars) and Cmux Debugging Guide (manaflow-ai/cmux, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Matlab Performance Optimizer?
matlab (a GitHub organization) maintains it in matlab/agent-skills-playground, which has 181 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on September 10, 2026.
Source: matlab/agent-skills-playground on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.