Embedded AI Deployment
matlab/agent-skills-playground
Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder).
Import PyTorch, ONNX, or Keras 3 / TensorFlow 2.16+ deep learning models into MATLAB as dlnetwork objects.
$ npx skills add matlab/matlab-agentic-toolkit --skill matlab-import-external-ai-model -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-import-external-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/ai-and-statistics/matlab-import-external-ai-model .claude/skills/matlab-import-external-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-import-external-ai-model" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-import-external-ai-model into .claude/skills/matlab-import-external-ai-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-import-external-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/ai-and-statistics/matlab-import-external-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-import-external-ai-model -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-import-external-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/ai-and-statistics/matlab-import-external-ai-model .agents/skills/matlab-import-external-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-import-external-ai-model" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-import-external-ai-model into .agents/skills/matlab-import-external-ai-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-import-external-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-import-external-ai-model -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-import-external-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/ai-and-statistics/matlab-import-external-ai-model .cursor/skills/matlab-import-external-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-import-external-ai-model" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-import-external-ai-model into .cursor/skills/matlab-import-external-ai-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-import-external-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/ai-and-statistics/matlab-import-external-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-import-external-ai-model -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-import-external-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/ai-and-statistics/matlab-import-external-ai-model .gemini/skills/matlab-import-external-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-import-external-ai-model" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-import-external-ai-model into .gemini/skills/matlab-import-external-ai-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-import-external-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-import-external-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-import-external-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/ai-and-statistics/matlab-import-external-ai-model .github/skills/matlab-import-external-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-import-external-ai-model" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-import-external-ai-model into .github/skills/matlab-import-external-ai-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-import-external-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-import-external-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-import-external-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/ai-and-statistics/matlab-import-external-ai-model .opencode/skills/matlab-import-external-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-import-external-ai-model" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-import-external-ai-model into .opencode/skills/matlab-import-external-ai-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-import-external-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.
matlab-import-external-ai-modelImport PyTorch, ONNX, or Keras 3 / TensorFlow 2.16+ deep learning models into MATLAB as dlnetwork objects.
Matlab Import External AI Model is an agent skill from matlab/matlab-agentic-toolkit. Import PyTorch, ONNX, or Keras 3 / TensorFlow 2.16+ deep learning models into MATLAB as dlnetwork objects. Use when importing .pt2 exported programs, traced .pt files, .onnx models, or Keras 3 models via matlabsaver. Covers importNetworkFromPyTorch, importNetworkFromONNX, importNetworkFromKeras, importNetworkFromTensorFlow, torch.export.export, PyTorchInputSizes, InputDataFormats, matlabsaver, tfkeras downgrade, numeric validation against PyTorch or ONNX Runtime, and placeholder/custom layer implementation…
Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts and reference files (for example `manifest.yaml`, `references/keras-matlabsaver-workflow.md` and `references/keras-tf-keras-downgrade.md`).
It sits in AI & LLM Engineering, covering Deep learning. It works with ONNX, PyTorch and TensorFlow. The repository describes itself as: The MATLAB Agentic Toolkit brings proven MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.
Read from SKILL.md and the folder at commit 69e71df. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/, which the agent can run.
Shell commands in SKILL.md call:
pipFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Matlab Import External AI Model loads about 2.8k tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 178 tokens; SKILL.md has 886 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.
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); the scripts in this folder are not scanned.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 886 words (~2,788 tokens).
“Import trained PyTorch, ONNX, or Keras 3 models into MATLAB as dlnetwork objects and verify numerical correctness.”
SKILL.md and 9 other files (scripts, references) in skills-catalog/ai-and-statistics/matlab-import-external-ai-model of matlab/matlab-agentic-toolkit.
Open the folder on GitHubat commit 69e71df
Matlab Import External 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 Import External 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 | |
| PerforatedaiPerforatedAI/PerforatedAI | 237 | — | ~17k | Automated safety check: Pass | Apache-2.0 | |
| Technology Selectiondotnet/skills | 5.6k | 1 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Re AI Modeldslsdzc/rev-skills | 130 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Formattingbrendanhasz/probflow | 175 | — | ~381 | Automated safety check: Pass | MIT |
matlab/agent-skills-playground
Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder).
PerforatedAI/PerforatedAI
Expert in PerforatedAI library for adding artificial dendrites to PyTorch neural networks.
dotnet/skills
Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX…
dslsdzc/rev-skills
AI 模型文件逆向与静态分析:ONNX/PyTorch/Safetensors/TFLite 格式解析、 网络结构还原、权重提取、文件级水印分析(权重 pattern/metadata/tensor hash/embedding 异常)。
brendanhasz/probflow
Ensure consistent code formatting using the uv package manager and pre-commit.
qualcomm/qai-appbuilder
QAI ModelBuilder. An agent skill from qualcomm/qai-appbuilder.
matlab/matlab-agentic-toolkit
Perform time-frequency analysis in MATLAB using CWT, STFT, synchrosqueezing, reassignment, wavelet coherence, cross spectrogram, EMD/VMD, multiresolution analysis, and time-frequency filtering.
matlab/matlab-agentic-toolkit
Launch and control the MATLAB Radar Designer app programmatically via MCP.
matlab/matlab-agentic-toolkit
A skill your agent uses when engineering or selecting the best features for single-response classification or regression in MATLAB, whatever the data's modality — for non-tabular data it routes…
matlab/matlab-agentic-toolkit
Read BEFORE troubleshooting or enhancing camera image quality.
matlab/matlab-agentic-toolkit
Port MATLAB Data Acquisition Toolbox code from the discouraged (legacy) session-based interface (daq.createSession, addAnalogInputChannel, startBackground, DataAvailable listeners, queueOutputData…
matlab/matlab-agentic-toolkit
Optimize MATLAB design files for GPU Coder to generate faster CUDA code.
Works with
Categories
Import PyTorch, ONNX, or Keras 3 / TensorFlow 2.16+ deep learning models into MATLAB as dlnetwork objects. Matlab Import External AI Model is an agent skill from matlab/matlab-agentic-toolkit.16+ deep learning models into MATLAB as dlnetwork objects.
Matlab Import External AI Model fits situations like: importing .pt2 exported programs; traced .pt files; keras 3 models via matlabsaver; mentions any of these functions.
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-import-external-ai-model -a claude-code`. Or copy the skill folder (skills-catalog/ai-and-statistics/matlab-import-external-ai-model in matlab/matlab-agentic-toolkit) into .claude/skills/matlab-import-external-ai-model in your project. Claude Code loads it when a task matches its description.
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-import-external-ai-model -a codex`. Or copy the skill folder (skills-catalog/ai-and-statistics/matlab-import-external-ai-model in matlab/matlab-agentic-toolkit) into .agents/skills/matlab-import-external-ai-model in your project. Codex loads it when a task matches its description.
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-import-external-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-import-external-ai-model, .gemini/skills/matlab-import-external-ai-model, .github/skills/matlab-import-external-ai-model and .opencode/skills/matlab-import-external-ai-model in your project.
Going by SKILL.md and its folder, Matlab Import External AI Model needs the command-line tools its instructions call (pip). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Matlab Import External 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.
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 7.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Matlab Import External AI Model: Embedded AI Deployment (matlab/agent-skills-playground, 183 stars), Perforatedai (PerforatedAI/PerforatedAI, 237 stars), Technology Selection (dotnet/skills, 5.6k stars) and Re AI Model (dslsdzc/rev-skills, 130 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.