Agent skill

Matlab Optimize Performance

by matlab in matlab/matlab-agentic-toolkit

Read BEFORE optimizing any MATLAB code for speed. An agent skill from matlab/matlab-agentic-toolkit.

Custom licenceAuto-check passedDevelopment

Install Matlab Optimize Performance

skills CLI
$ npx skills add matlab/matlab-agentic-toolkit --skill matlab-optimize-performance -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install matlab/matlab-agentic-toolkit matlab-optimize-performance --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills-catalog/matlab-software-development/matlab-optimize-performance .claude/skills/matlab-optimize-performance && rm -rf skills-src

Use ~/.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/

Facts

Skill name
matlab-optimize-performance
GitHub stars
1.1k
Token cost
~2.1k tokens
SKILL.md length
833 words
Files
4 (incl. references)
Skills in repo
144
Repo updated
First seen
Licence
Custom licence

At a glance

Read BEFORE optimizing any MATLAB code for speed. An agent skill from matlab/matlab-agentic-toolkit.

  • Works in 7 steps: Establish Baseline → Profile and Analyze → Identify Optimization Opportunities → …
  • Tasks that involve Performance optimization
  • SKILL.md covers When to Use, When NOT to Use, The 7-Step Workflow and Key Rules, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Matlab Optimize Performance is an agent skill from matlab/matlab-agentic-toolkit. Read BEFORE optimizing any MATLAB code for speed. Without this workflow, agents commonly optimize the wrong target, fabricate speedup claims without measurement, or introduce regressions. Guides the 7-step workflow: baseline, profile, identify, optimize, measure, verify, report.

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `manifest.yaml`, `references/measurement-templates.md` and `references/optimization-patterns.md`).

It sits in Development, covering Performance optimization. The repository describes itself as: The MATLAB Agentic Toolkit brings proven MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.

When your agent uses it

  • Tasks that involve Performance optimization

Example prompts

  • “/matlab-optimize-performance”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Establish Baseline
  2. Profile and Analyze
  3. Identify Optimization Opportunities
  4. Implement Optimizations
  5. Measure Optimized Performance
  6. Verify Correctness
  7. Report Results

What it can do on your machine

Read from SKILL.md and the folder at commit 3303f05. 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 Optimize Performance loads about 2.1k tokens when it runs, and up to ~4.9k if it reads all its reference files. Until then it costs about 77 tokens; SKILL.md has 833 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.9k

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 833 words (~2,061 tokens).

“Systematic 7-step workflow for finding and fixing performance bottlenecks in MATLAB code.”

— opening of SKILL.md by matlab, Custom licence
name
matlab-optimize-performance
license
https://www.mathworks.com/content/dam/mathworks/license/pmrl/license.md
metadata.author
MathWorks
metadata.version
1.0

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files (references) in skills-catalog/matlab-software-development/matlab-optimize-performance of matlab/matlab-agentic-toolkit.

  • SKILL.md
  • manifest.yaml
  • references/measurement-templates.md
  • references/optimization-patterns.md

Open the folder on GitHubat commit 3303f05

Compare with similar skills

Matlab Optimize Performance 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.

Matlab Optimize Performance compared with similar skills
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Matlab Optimize Performance this skillmatlab/matlab-agentic-toolkit1.1k—~2.1kAutomated safety check: PassCustom licence
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LLM Torch Profiler Analysissgl-project/sglang37k2 repos~6.4kAutomated safety check: PassApache-2.0
Pycrazyguitar/pysheeet8.2k—~886Automated safety check: PassMIT
Cmux Debugging Guidemanaflow-ai/cmux28k1 repos~1.1kAutomated safety check: PassCustom licence
Electron Heap Snapshot Analysiskeybase/client9.3k—~875Automated safety check: PassBSD-3-Clause

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Categories

Questions about Matlab Optimize Performance

What does Matlab Optimize Performance do?

Read BEFORE optimizing any MATLAB code for speed. An agent skill from matlab/matlab-agentic-toolkit. Matlab Optimize Performance is an agent skill from matlab/matlab-agentic-toolkit. Read BEFORE optimizing any MATLAB code for speed.

When should I use Matlab Optimize Performance?

Matlab Optimize Performance fits situations like: tasks that involve Performance optimization.

How do I install Matlab Optimize Performance in Claude Code?

Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-optimize-performance -a claude-code`. Or copy the skill folder (skills-catalog/matlab-software-development/matlab-optimize-performance in matlab/matlab-agentic-toolkit) into .claude/skills/matlab-optimize-performance in your project. Claude Code loads it when a task matches its description.

How do I install Matlab Optimize Performance in Codex?

Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-optimize-performance -a codex`. Or copy the skill folder (skills-catalog/matlab-software-development/matlab-optimize-performance in matlab/matlab-agentic-toolkit) into .agents/skills/matlab-optimize-performance in your project. Codex loads it when a task matches its description.

Can I use Matlab Optimize Performance 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/matlab-agentic-toolkit --skill matlab-optimize-performance -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-optimize-performance, .gemini/skills/matlab-optimize-performance, .github/skills/matlab-optimize-performance and .opencode/skills/matlab-optimize-performance in your project.

What does Matlab Optimize Performance need to run?

SKILL.md names no scripts, command-line tools or credentials: Matlab Optimize Performance is instructions for the agent only.

Does Matlab Optimize Performance 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 Optimize Performance 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 Optimize Performance use?

Matlab Optimize Performance 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 Optimize Performance use?

About 2.1k tokens (SKILL.md is roughly 8.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.8k tokens, read only when the agent opens those files.

What are the alternatives to Matlab Optimize Performance?

Skills that share tags, products or a category with Matlab Optimize Performance: 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 Optimize Performance?

matlab (a GitHub organization) maintains it in matlab/matlab-agentic-toolkit, which has 1,134 GitHub stars. The repository holds 144 skills in this directory. The repository was last updated on September 30, 2026.

Source: matlab/matlab-agentic-toolkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.