Vercel Composition Patterns
supabase/supabase
React composition patterns that scale. An agent skill from supabase/supabase.
A skill your agent uses when writing, solving, or debugging MATLAB optimization code — formulating problems (optimproblem, optimvar, fcn2optimexpr), selecting and configuring solvers (fmincon…
Install Matlab Solve Optimization
$ npx skills add matlab/matlab-agentic-toolkit --skill matlab-solve-optimization -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-solve-optimization --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/matlab-agentic-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills-catalog/math-and-optimization/matlab-solve-optimization .claude/skills/matlab-solve-optimization && 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-solve-optimization" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/math-and-optimization/matlab-solve-optimization into .claude/skills/matlab-solve-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-solve-optimization", 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/matlab-agentic-toolkit/tree/main/skills-catalog/math-and-optimization/matlab-solve-optimizationType 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/matlab-agentic-toolkit --skill matlab-solve-optimization -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-solve-optimization --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills-catalog/math-and-optimization/matlab-solve-optimization .agents/skills/matlab-solve-optimization && 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-solve-optimization" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/math-and-optimization/matlab-solve-optimization into .agents/skills/matlab-solve-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-solve-optimization", 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/matlab-agentic-toolkit --skill matlab-solve-optimization -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-solve-optimization --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills-catalog/math-and-optimization/matlab-solve-optimization .cursor/skills/matlab-solve-optimization && 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-solve-optimization" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/math-and-optimization/matlab-solve-optimization into .cursor/skills/matlab-solve-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-solve-optimization", 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/matlab-agentic-toolkit.git --path skills-catalog/math-and-optimization/matlab-solve-optimization--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/matlab-agentic-toolkit --skill matlab-solve-optimization -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-solve-optimization --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills-catalog/math-and-optimization/matlab-solve-optimization .gemini/skills/matlab-solve-optimization && 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-solve-optimization" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/math-and-optimization/matlab-solve-optimization into .gemini/skills/matlab-solve-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-solve-optimization", 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/matlab-agentic-toolkit matlab-solve-optimizationInstalls 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/matlab-agentic-toolkit --skill matlab-solve-optimization -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills-catalog/math-and-optimization/matlab-solve-optimization .github/skills/matlab-solve-optimization && 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-solve-optimization" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/math-and-optimization/matlab-solve-optimization into .github/skills/matlab-solve-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-solve-optimization", 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/matlab-agentic-toolkit --skill matlab-solve-optimization -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/matlab-agentic-toolkit matlab-solve-optimization --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills-catalog/math-and-optimization/matlab-solve-optimization .opencode/skills/matlab-solve-optimization && 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-solve-optimization" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/math-and-optimization/matlab-solve-optimization into .opencode/skills/matlab-solve-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-solve-optimization", 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-solve-optimization- GitHub stars
- 1.1k
- Token cost
- ~3.4k tokens
- SKILL.md length
- 1,296 words
- Files
- 9 (incl. references)
- Skills in repo
- 142
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
A skill your agent uses when writing, solving, or debugging MATLAB optimization code — formulating problems (optimproblem, optimvar, fcn2optimexpr), selecting and configuring solvers (fmincon…
- Works in 3 steps: Classify & Formulate → Select & Configure Solver → Validate Results
- Debugging MATLAB optimization code — formulating problems (optimproblem
- SKILL.md covers When to Use, When NOT to Use, Stage 1: Classify & Formulate and Stage 2: Select & Configure…, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Matlab Solve Optimization is an agent skill from matlab/matlab-agentic-toolkit. Use when writing, solving, or debugging MATLAB optimization code — formulating problems (optimproblem, optimvar, fcn2optimexpr), selecting and configuring solvers (fmincon, linprog, quadprog, intlinprog, lsqnonlin, ga, surrogateopt, optimoptions), or validating results (exitflag, convergence, constraint violations). Covers problem-based and solver-based approaches, solver tuning, and solution verification.
Its SKILL.md is about 3.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `manifest.yaml`, `references/classify.md` and `references/fcn2optimexpr-guide.md`).
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
- Debugging MATLAB optimization code — formulating problems (optimproblem
- Selecting and configuring solvers (fmincon
- Validating results (exitflag
- Constraint violations)
Example prompts
- “/matlab-solve-optimization”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
- Classify & Formulate
- Select & Configure Solver
- Validate Results
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 Solve Optimization loads about 3.4k tokens when it runs, and up to ~16k if it reads all its reference files. Until then it costs about 109 tokens; SKILL.md has 1,296 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 1,296 words (~3,417 tokens).
“Guide the full optimization lifecycle: classify the problem, formulate it, select and configure a solver, and validate the results.”
- name
- matlab-solve-optimization
- license
- https://www.mathworks.com/content/dam/mathworks/license/pmrl/license.md
- metadata.author
- MathWorks
- metadata.version
- 1.0
Files
SKILL.md and 8 other files (references) in skills-catalog/math-and-optimization/matlab-solve-optimization of matlab/matlab-agentic-toolkit.
- SKILL.md
- manifest.yaml
- references/classify.md
- references/fcn2optimexpr-guide.md
- references/improving-results.md
- references/performance-levers.md
- references/problem-based-guide.md
- references/solver-tuning.md
- references/validation-checklist.md
Open the folder on GitHubat commit 59dfd92
Compare with similar skills
Matlab Solve Optimization 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 Solve Optimization this skillmatlab/matlab-agentic-toolkit | 1.1k | — | ~3.4k | Automated safety check: Pass | Custom licence | |
| Vercel Composition Patternssupabase/supabase | 111k | 59 repos | ~726 | Automated safety check: Pass | MIT | |
| Finishing a Development Branchobra/superpowers | 296k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Typescript Advanced Typesrolling-scopes/rsschool-app | 10k | 25 repos | ~4.2k | Automated safety check: Pass | MPL-2.0 | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT |
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Categories
Questions about Matlab Solve Optimization
What does Matlab Solve Optimization do?
A skill your agent uses when writing, solving, or debugging MATLAB optimization code — formulating problems (optimproblem, optimvar, fcn2optimexpr), selecting and configuring solvers (fmincon…. Matlab Solve Optimization is an agent skill from matlab/matlab-agentic-toolkit. Use when writing, solving, or debugging MATLAB optimization code — formulating problems (optimproblem, optimvar, fcn2optimexpr), selecting and configuring solvers (fmincon, linprog, quadprog, intlinprog, lsqnonlin, ga, surrogateopt, optimoptions), or validating results (exitflag, convergence, constraint violations).
When should I use Matlab Solve Optimization?
Matlab Solve Optimization fits situations like: debugging MATLAB optimization code — formulating problems (optimproblem; selecting and configuring solvers (fmincon; validating results (exitflag; constraint violations).
How do I install Matlab Solve Optimization in Claude Code?
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-solve-optimization -a claude-code`. Or copy the skill folder (skills-catalog/math-and-optimization/matlab-solve-optimization in matlab/matlab-agentic-toolkit) into .claude/skills/matlab-solve-optimization in your project. Claude Code loads it when a task matches its description.
How do I install Matlab Solve Optimization in Codex?
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-solve-optimization -a codex`. Or copy the skill folder (skills-catalog/math-and-optimization/matlab-solve-optimization in matlab/matlab-agentic-toolkit) into .agents/skills/matlab-solve-optimization in your project. Codex loads it when a task matches its description.
Can I use Matlab Solve Optimization 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-solve-optimization -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-solve-optimization, .gemini/skills/matlab-solve-optimization, .github/skills/matlab-solve-optimization and .opencode/skills/matlab-solve-optimization in your project.
What does Matlab Solve Optimization need to run?
SKILL.md names no scripts, command-line tools or credentials: Matlab Solve Optimization is instructions for the agent only.
Does Matlab Solve Optimization 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 Solve Optimization 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 Solve Optimization use?
Matlab Solve Optimization 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 Solve Optimization use?
About 3.4k tokens (SKILL.md is roughly 14k 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 12k tokens, read only when the agent opens those files.
What are the alternatives to Matlab Solve Optimization?
Skills that share tags, products or a category with Matlab Solve Optimization: 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 Solve Optimization?
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.