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matlab-deploy-embedded-ai

100 / 100 · Low risk

Fine to try.

By matlab/matlab-agentic-toolkit (GitHub) · coding · 1,291 stars · scanned at commit b58be81

Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder). Covers two workflow patterns: (1) MathWorks-native or imported models rebuilt as dlnetwork for lean hardware, (2) direct C/C++ code generation from PyTorch and LiteRT models. Both patterns support all targets (Cortex-M/A/R, x86, GPU). Trigger when: user wants to deploy AI to embedded targets; generate C/CUDA from neural networks; compress AI models for MCU; integrate AI in Simulink for system-level s…

Works with any agent that supports SKILL.md skills.

What this skill can do

We found nothing in the files we read that matches our rules. That does not prove the skill is safe: see the limits of static scanning.

Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'matlab-deploy-embedded-ai' ] || [ -L ~/.agents/skills/'matlab-deploy-embedded-ai' ]; then echo 'A skill folder named matlab-deploy-embedded-ai already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/matlab/matlab-agentic-toolkit' "$d" && git -C "$d" checkout --quiet 'b58be8124631cccb03a67aa79dcef1c9720243e2' -- 'skills-catalog/ai-and-statistics/matlab-deploy-embedded-ai' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills-catalog/ai-and-statistics/matlab-deploy-embedded-ai' ~/.agents/skills/'matlab-deploy-embedded-ai' && rm -rf "$d"; fi

Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'matlab-deploy-embedded-ai' ~/.claude/skills/'matlab-deploy-embedded-ai' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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Score history

DateVersionScore
2026-11-11b58be81100
2026-11-082a7f215100
2026-11-072a7f215100