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Agent skill

Matlab Review Fi Object Code

by matlab in matlab/matlab-agentic-toolkit

Reviews MATLAB fixed-point (fi) code for performance, code generation efficiency, and correctness.

Custom licenceAuto-check passedDevelopment

Install Matlab Review Fi Object Code

skills CLI
$ npx skills add matlab/matlab-agentic-toolkit --skill matlab-review-fi-object-code -a claude-code

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

GitHub CLI
$ gh skill install matlab/matlab-agentic-toolkit matlab-review-fi-object-code --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/code-generation/matlab-review-fi-object-code .claude/skills/matlab-review-fi-object-code && 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-review-fi-object-code
GitHub stars
1.1k
Token cost
~3.7k tokens
SKILL.md length
1,131 words
Files
2
Skills in repo
142
Repo updated
First seen
Licence
Custom licence

At a glance

Reviews MATLAB fixed-point (fi) code for performance, code generation efficiency, and correctness.

  • Works in 11 steps: Vectorize fi() Calls → Separate Data Types from Algorithm → Prevent Bit Growth with Subscripted… → …
  • Quantizenumeric code
  • SKILL.md covers When to Use, When Not to Use, Checklist and Output Format
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Matlab Review Fi Object Code is an agent skill from matlab/matlab-agentic-toolkit. Reviews MATLAB fixed-point (fi) code for performance, code generation efficiency, and correctness. Identifies antipatterns and suggests idiomatic improvements. Use when reviewing fi, fimath, numerictype, or quantizenumeric code.

Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `manifest.yaml`).

It sits in Development. 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

  • Quantizenumeric code

Example prompts

  • “Use the matlab-review-fi-object-code skill to review MATLAB fixed-point (fi) code for performance, code generation efficiency, and correctness”
  • “/matlab-review-fi-object-code”

Workflow steps

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

  1. Vectorize fi() Calls
  2. Separate Data Types from Algorithm
  3. Prevent Bit Growth with Subscripted Assignment
  4. Configure fimath for Your Target
  5. Preallocate fi Arrays
  6. Avoid Division in Fixed-Point
  7. Replace Expensive Functions with Lookup Tables or CORDIC
  8. fi Constructor Best Practices
  9. Use quantizenumeric for Double-Based Quantization
  10. Manage Floating-Point in Fixed-Point Algorithms
  11. Profile and Accelerate fi Code

What it can do on your machine

Read from SKILL.md and the folder at commit 59dfd92. 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 Review Fi Object Code loads about 3.7k tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 1,131 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~3.7k

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 1,131 words (~3,727 tokens).

“Reviews MATLAB code for fixed-point (fi) best practices and suggests improvements for performance, code generation efficiency, and correctness.”

— opening of SKILL.md by matlab, Custom licence
name
matlab-review-fi-object-code
license
https://www.mathworks.com/content/dam/mathworks/license/pmrl/license.md
metadata.author
MathWorks
metadata.version
2.0

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file in skills-catalog/code-generation/matlab-review-fi-object-code of matlab/matlab-agentic-toolkit.

  • SKILL.md
  • manifest.yaml

Open the folder on GitHubat commit 59dfd92

Compare with similar skills

Matlab Review Fi Object Code 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 Review Fi Object Code compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Matlab Review Fi Object Code this skillmatlab/matlab-agentic-toolkit1.1k—~3.7kAutomated safety check: PassCustom licence
Vercel Composition Patternssupabase/supabase111k59 repos~726Automated safety check: PassMIT
Finishing a Development Branchobra/superpowers296k5 repos~1.9kAutomated safety check: PassMIT
Typescript Advanced Typesrolling-scopes/rsschool-app10k25 repos~4.2kAutomated safety check: PassMPL-2.0
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT

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Categories

Questions about Matlab Review Fi Object Code

What does Matlab Review Fi Object Code do?

Reviews MATLAB fixed-point (fi) code for performance, code generation efficiency, and correctness. Matlab Review Fi Object Code is an agent skill from matlab/matlab-agentic-toolkit. Reviews MATLAB fixed-point (fi) code for performance, code generation efficiency, and correctness.

When should I use Matlab Review Fi Object Code?

Matlab Review Fi Object Code fits situations like: quantizenumeric code.

How do I install Matlab Review Fi Object Code in Claude Code?

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

How do I install Matlab Review Fi Object Code in Codex?

Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-review-fi-object-code -a codex`. Or copy the skill folder (skills-catalog/code-generation/matlab-review-fi-object-code in matlab/matlab-agentic-toolkit) into .agents/skills/matlab-review-fi-object-code in your project. Codex loads it when a task matches its description.

Can I use Matlab Review Fi Object Code 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-review-fi-object-code -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-review-fi-object-code, .gemini/skills/matlab-review-fi-object-code, .github/skills/matlab-review-fi-object-code and .opencode/skills/matlab-review-fi-object-code in your project.

What does Matlab Review Fi Object Code need to run?

SKILL.md names no scripts, command-line tools or credentials: Matlab Review Fi Object Code is instructions for the agent only.

Does Matlab Review Fi Object Code 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 Review Fi Object Code 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 Review Fi Object Code use?

Matlab Review Fi Object Code 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 Review Fi Object Code use?

About 3.7k tokens (SKILL.md is roughly 15k 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 Review Fi Object Code?

Skills that share tags, products or a category with Matlab Review Fi Object Code: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 296k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Matlab Review Fi Object Code?

matlab (a GitHub organization) maintains it in matlab/matlab-agentic-toolkit, which has 1,140 GitHub stars. The repository holds 142 skills in this directory. The repository was last updated on October 7, 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.