embedded-ai-deployment SKILL.md skillA
embedded-ai-deployment from matlab/agent-skills-playground is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add matlab/agent-skills-playground/embedded-ai-deployment@v1.0Pins v1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- matlab/agent-skills-playground
- Path
demos/embedded-ai-deployment/skills/embedded-ai-deployment/SKILL.md- Versions recorded
- 4
- Latest version
- v1.0, committed Sep 10, 2026
- First version recorded
- May 28, 2026
- Size
- 13,499 bytes
- Repository stars
- 198
- License
- a license file GitHub does not identify
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…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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 Codex can drive a live MATLAB and Simulink session through MCP tools. ## Workflow Pattern Selection Determine the correct workflow pattern based on model origin and deployment target. ### Decision Tree Primary discriminator for 3P models: **model size + hardware class**. ``` Q1: What is the deployment target? | +-- Cortex-M (M33, M4, M7) ---------------------> Q2 +-- Cortex-A/R processor or DSP (C2000, etc.) ----> Q2 …
Read the whole file at its exact version.
How to install
mdr add matlab/agent-skills-playground/embedded-ai-deployment@sha256:2a58649582195270The line at the top of this page pins the label v1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_3zewb2s2qw4uryy7)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between May 28, 2026 and Sep 10, 2026, about one every 35 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0 latest | 2026-09-10 | 051eea2 | 13,499 B | A | view · diff |
| v1.0 | 2026-06-04 | 8f24365 | 13,464 B | A | view · diff |
| v1.0 | 2026-05-29 | 61d5a1f | 13,540 B | A | view · diff |
| v1.0 | 2026-05-28 | 3baa846 | 11,779 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (13499 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
matlab/agent-skills-playground · 198 stars · license a license file GitHub does not identify · pushed 2026-10-14 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_3zewb2s2qw4uryy7 GET https://markdownregistry.com/api/v1/resolve?ref=matlab/agent-skills-playground/embedded-ai-deployment GET https://markdownregistry.com/api/v1/blob/2a58649582195270718cb843fda500ce082c60ee6b07e8cb1aa7399adbb7863a
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.