Embedded AI Deployment

by matlab

Embedded AI Deployment is a DevOps skill for Claude Code, published by matlab in matlab-agentic-toolkit.

938 stars115 forkson matlab/matlab-agentic-toolkitAdded 2026/08/21+2% in starsRepository updated 2026/08/13

View source on GitHub Download repo ZIP

agent-skillsclaude-codecodex-pluginengineering-agentsgithub-copilotmatlabmatlab-mcp-server

Install in seconds

Install Embedded AI Deployment

Copy Embedded AI Deployment into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-deploy-embedded-ai ~/.claude/skills/matlab-deploy-embedded-ai

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/matlab/matlab-agentic-toolkit.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills-catalog/ai-and-statistics/matlab-deploy-embedded-ai/SKILL.md in matlab/matlab-agentic-toolkit
Installs to: ~/.claude/skills/matlab-deploy-embedded-ai
Collection: One of 25 skills cataloged from this repository
Category: DevOps — 798 skills

What Embedded AI Deployment does

Embedded AI Deployment helps deploy neural networks to embedded hardware with MATLAB, Simulink, and Embedded Coder. Use it to import, compress, simulate, and generate C or CUDA for Cortex-M/A/R, x86, or GPU targets.

Embedded AI Deployment is cataloged under DevOps on DirSkills. Embedded AI Deployment comes from a repository tagged agent-skills, claude-code, codex-plugin, engineering-agents and github-copilot.

Documentation

README

Excerpt

Embedded AI for Engineered Systems

Deploy AI models to embedded hardware using MATLAB® and Simulink®. This skill is written specifically for MATLAB R2026a and uses APIs, functions, and workflows introduced in that release. It covers the complete lifecycle: model creation or import, verification, compression, system-level simulation, and code generation for resource-constrained targets.

Requires MATLAB R2026a or newer. Core toolboxes: Deep Learning Toolbox, Statistics and Machine Learning Toolbox, MATLAB Coder, Embedded Coder, Simulink, and Fixed-Point Designer. Workflow-specific support packages are checked during Environment Discovery. The MATLAB and Simulink Agentic Toolkits must be available so the agent can drive a live MATLAB and Simulink session through MCP tools.

This is the opening of the README. Read the full README on GitHub.

Commands Embedded AI Deployment provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

/matlab-import-external-ai-model

Frequently asked about Embedded AI Deployment

What else does matlab publish alongside Embedded AI Deployment?
Embedded AI Deployment is one of 25 skills that DirSkills catalogs from matlab/matlab-agentic-toolkit, the repository it ships in. Its siblings there include Aerospace Fundamentals, Build RoadRunner Scenario From OpenSCENARIO and Compute Aerospace Environment. Each one is a separate skill with its own page in this directory, installs the same way Embedded AI Deployment does, and is maintained by matlab in that same repository. The rest of the collection is listed on the matlab/matlab-agentic-toolkit page.
How does Embedded AI Deployment compare to other DevOps skills?
Embedded AI Deployment ranks #482 by stars among the 798 DevOps skills in this catalog. The most-starred ones next to it are Backend Patterns, API Connector Builder and Migration. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Embedded AI Deployment against them. Open each page to compare what they document and how they install.