Embedded AI Deployment
matlab/agent-skills-playground
Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder).
Generate C/C++ or CUDA code from an AI model (PyTorch, LiteRT) using MATLAB Coder or GPU Coder.
Install Matlab Deploy AI Model
$ npx skills add matlab/matlab-agentic-toolkit --skill matlab-deploy-ai-model -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-deploy-ai-model --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/code-generation/matlab-deploy-ai-model .claude/skills/matlab-deploy-ai-model && 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-deploy-ai-model" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/code-generation/matlab-deploy-ai-model into .claude/skills/matlab-deploy-ai-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-deploy-ai-model", 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/code-generation/matlab-deploy-ai-modelType 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-deploy-ai-model -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-deploy-ai-model --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/code-generation/matlab-deploy-ai-model .agents/skills/matlab-deploy-ai-model && 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-deploy-ai-model" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/code-generation/matlab-deploy-ai-model into .agents/skills/matlab-deploy-ai-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-deploy-ai-model", 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-deploy-ai-model -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-deploy-ai-model --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/code-generation/matlab-deploy-ai-model .cursor/skills/matlab-deploy-ai-model && 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-deploy-ai-model" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/code-generation/matlab-deploy-ai-model into .cursor/skills/matlab-deploy-ai-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-deploy-ai-model", 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/code-generation/matlab-deploy-ai-model--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-deploy-ai-model -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-deploy-ai-model --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/code-generation/matlab-deploy-ai-model .gemini/skills/matlab-deploy-ai-model && 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-deploy-ai-model" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/code-generation/matlab-deploy-ai-model into .gemini/skills/matlab-deploy-ai-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-deploy-ai-model", 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-deploy-ai-modelInstalls 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-deploy-ai-model -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/code-generation/matlab-deploy-ai-model .github/skills/matlab-deploy-ai-model && 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-deploy-ai-model" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/code-generation/matlab-deploy-ai-model into .github/skills/matlab-deploy-ai-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-deploy-ai-model", 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-deploy-ai-model -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-deploy-ai-model --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/code-generation/matlab-deploy-ai-model .opencode/skills/matlab-deploy-ai-model && 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-deploy-ai-model" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/code-generation/matlab-deploy-ai-model into .opencode/skills/matlab-deploy-ai-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-deploy-ai-model", 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-deploy-ai-model- GitHub stars
- 1.1k
- Token cost
- ~2.8k tokens
- SKILL.md length
- 1,085 words
- Files
- 16 (incl. references)
- Skills in repo
- 151
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Generate C/C++ or CUDA code from an AI model (PyTorch, LiteRT) using MATLAB Coder or GPU Coder.
- Works in 8 steps: Load and Inspect → Write Entry-Point Function → Verify Numerics → …
- The user wants to integrate an AI model into an application with code generation as the end goal — generating MEX
- SKILL.md covers When to Use, When NOT to Use, Supported Frameworks and Generic Workflow, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Matlab Deploy AI Model is an agent skill from matlab/matlab-agentic-toolkit. Generate C/C++ or CUDA code from an AI model (PyTorch, LiteRT) using MATLAB Coder or GPU Coder. Use when the user wants to integrate an AI model into an application with code generation as the end goal — generating MEX, CUDA MEX, static library, dynamic library, or executable — or using the model in Simulink for simulation and code generation. Covers PyTorch ExportedProgram (.pt2) via loadPyTorchExportedProgram and LiteRT (.tflite) via loadLiteRTModel (R2026a+). Keywords: PyTorch, torch, .pt2, ExportedProgram…
Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including reference files (for example `manifest.yaml`, `references/codegen-workflow.md` and `references/dnn-codegen-options.md`).
It sits in AI & LLM Engineering, covering Deep learning and Project scaffolding. It works with TensorFlow, CUDA, PyTorch and C++. 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
- The user wants to integrate an AI model into an application with code generation as the end goal — generating MEX
- Dynamic library
- Using the model in Simulink for simulation and code generation
Example prompts
- “/matlab-deploy-ai-model”
Requirements
- Python 3
Workflow steps
8 steps, taken from the step headings in SKILL.md.
- Load and Inspect
- Write Entry-Point Function
- Verify Numerics
- Generate MEX (First!)
- Verify MEX Output
- Generate Library/Executable
- Use in Simulink
- Deploy to Hardware (Optional — requires Embedded Coder)
What it can do on your machine
Read from SKILL.md and the folder at commit 69e71df. 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 Deploy AI Model loads about 2.8k tokens when it runs, and up to ~23k if it reads all its reference files. Until then it costs about 195 tokens; SKILL.md has 1,085 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 1,085 words (~2,758 tokens).
“Generate deployable C/C++ or CUDA code from an AI model using MATLAB Coder or GPU Coder. The workflow follows a common pattern regardless of model framework: load, inspect, write entry-point, generate MEX, verify, then generate production code.”
- name
- matlab-deploy-ai-model
- license
- https://www.mathworks.com/content/dam/mathworks/license/pmrl/license.md
- metadata.author
- MathWorks
- metadata.version
- 1.2
Files
SKILL.md and 15 other files (references) in skills-catalog/code-generation/matlab-deploy-ai-model of matlab/matlab-agentic-toolkit.
- SKILL.md
- manifest.yaml
- references/codegen-workflow.md
- references/dnn-codegen-options.md
- references/export-pytorch-models.md
- references/litert-numeric-verification.md
- references/litert-workflow.md
- references/pytorch-api-reference.md
- references/pytorch-data-layout.md
- references/pytorch-export-gotchas.md
- references/pytorch-export-patterns.md
- references/pytorch-numeric-verification.md
- references/pytorch-supported-models.md
- references/pytorch-workflow.md
- references/simulink-workflow.md
- references/tensorflow-to-litert-conversion.md
Open the folder on GitHubat commit 69e71df
Compare with similar skills
Matlab Deploy AI Model 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 Deploy AI Model this skillmatlab/matlab-agentic-toolkit | 1.1k | — | ~2.8k | Automated safety check: Pass | Custom licence | |
| Embedded AI Deploymentmatlab/agent-skills-playground | 183 | — | ~3.4k | Automated safety check: Pass | Custom licence | |
| Ako4allTongmingLAIC/AKO4ALL | 369 | — | ~4k | Automated safety check: Pass | MIT | |
| Paddle Op DevPaddlePaddle/Paddle | 24k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| At Dispatch V2intel/torch-xpu-ops | 115 | 3 repos | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Extract Xpu Kernel Asmintel/torch-xpu-ops | 115 | — | ~2.9k | Automated safety check: Pass | Apache-2.0 |
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Works with
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Questions about Matlab Deploy AI Model
What does Matlab Deploy AI Model do?
Generate C/C++ or CUDA code from an AI model (PyTorch, LiteRT) using MATLAB Coder or GPU Coder. Matlab Deploy AI Model is an agent skill from matlab/matlab-agentic-toolkit. Generate C/C++ or CUDA code from an AI model (PyTorch, LiteRT) using MATLAB Coder or GPU Coder.
When should I use Matlab Deploy AI Model?
Matlab Deploy AI Model fits situations like: the user wants to integrate an AI model into an application with code generation as the end goal — generating MEX; dynamic library; using the model in Simulink for simulation and code generation.
How do I install Matlab Deploy AI Model in Claude Code?
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-deploy-ai-model -a claude-code`. Or copy the skill folder (skills-catalog/code-generation/matlab-deploy-ai-model in matlab/matlab-agentic-toolkit) into .claude/skills/matlab-deploy-ai-model in your project. Claude Code loads it when a task matches its description.
How do I install Matlab Deploy AI Model in Codex?
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-deploy-ai-model -a codex`. Or copy the skill folder (skills-catalog/code-generation/matlab-deploy-ai-model in matlab/matlab-agentic-toolkit) into .agents/skills/matlab-deploy-ai-model in your project. Codex loads it when a task matches its description.
Can I use Matlab Deploy AI Model 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-deploy-ai-model -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-deploy-ai-model, .gemini/skills/matlab-deploy-ai-model, .github/skills/matlab-deploy-ai-model and .opencode/skills/matlab-deploy-ai-model in your project.
What does Matlab Deploy AI Model need to run?
SKILL.md names no scripts, command-line tools or credentials: Matlab Deploy AI Model is instructions for the agent only. Our summary lists: Python 3.
Does Matlab Deploy AI Model 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 Deploy AI Model 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 Deploy AI Model use?
Matlab Deploy AI Model 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 Deploy AI Model use?
About 2.8k tokens (SKILL.md is roughly 11k 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 21k tokens, read only when the agent opens those files.
What are the alternatives to Matlab Deploy AI Model?
Skills that share tags, products or a category with Matlab Deploy AI Model: Embedded AI Deployment (matlab/agent-skills-playground, 183 stars), Ako4all (TongmingLAIC/AKO4ALL, 369 stars), Paddle Op Dev (PaddlePaddle/Paddle, 24k stars) and At Dispatch V2 (intel/torch-xpu-ops, 115 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Matlab Deploy AI Model?
matlab (a GitHub organization) maintains it in matlab/matlab-agentic-toolkit, which has 1,144 GitHub stars. The repository holds 151 skills in this directory. The repository was last updated on October 8, 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.