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embedded-ai-deployment

100 / 100 · Low risk

Fine to try.

By matlab/agent-skills-playground (GitHub) · coding · 201 stars · scanned at commit f93265a

Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder). Covers two workflow patterns: (1) MathWorks-native or 3P-imported models rebuilt as dlnetwork for lean hardware (Cortex-M, DSP), (2) direct C/C++ code generation from PyTorch and LiteRT models for high-performance hardware (Cortex-A, x86, GPU). Trigger when: user wants to deploy AI to embedded targets; generate C/CUDA from neural networks; compress AI models for MCU/DSP; integrate AI in Simulink for …

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/'embedded-ai-deployment' ] || [ -L ~/.agents/skills/'embedded-ai-deployment' ]; then echo 'A skill folder named embedded-ai-deployment already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/matlab/agent-skills-playground' "$d" && git -C "$d" checkout --quiet 'f93265a6477ea05028927530f02cd1e847c73d7e' -- 'demos/embedded-ai-deployment/skills/embedded-ai-deployment' && mkdir -p ~/.agents/skills && cp -R "$d"/'demos/embedded-ai-deployment/skills/embedded-ai-deployment' ~/.agents/skills/'embedded-ai-deployment' && 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/'embedded-ai-deployment' ~/.claude/skills/'embedded-ai-deployment' (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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