Individual skill
matlab-deploy-ai-model
Generate C/C++ or CUDA code from an AI model (PyTorch, LiteRT) using MATLAB Coder or GPU Coder. Use when the user wants to integrate an AI model into an application with code generation as the end goal — generating MEX, CUDA MEX, static library, dynamic library, or executable — or using the model in Simulink for simulation and code generation. Covers PyTorch ExportedProgram (.pt2) via loadPyTorchExportedProgram and LiteRT (.tflite) via loadLiteRTModel (R2026a+). Keywords: PyTorch, torch, .pt2, ExportedProgram, loadPyTorchExportedProgram, invoke, codegen, MEX, CUDA, GPU, C, C++, deploy, AI model, deep learning model, LiteRT, TFLite, TensorFlow Lite, Simulink, slbuild, PyTorch ExportedProgram block, MATLAB Function block, dlosslib, loadLiteRTModel.
skills-catalog/code-generation/matlab-deploy-ai-model/SKILL.md
Source commit 032b4b605999b1f4adecaac1efa1c9faad41adf6
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 3, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 1,270
- Repository last updated
- Nov 5, 2026
- License
- NOASSERTION
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- claude-code Repository topic
- codex-plugin Repository topic
- github-copilot Repository topic
- matlab Repository topic
- matlab-mcp-server Repository topic
- engineering-agents Repository topic
- codex Repository topic
- codex-skills Repository topic
- education Derived category
Files and excerpt
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Browse files
SKILL.mdcore · 11,076 bytesSKILL.mdcore · 11,076 bytesSKILL.mdcore · 11,076 bytesSKILL.mdcore · 11,076 bytesSKILL.mdcore · 11,076 bytesmanifest.yamlasset · 617 bytesreferences/codegen-workflow.mddoc · 4,080 bytesreferences/dnn-codegen-options.mddoc · 7,095 bytesreferences/export-pytorch-models.mddoc · 4,685 bytesreferences/litert-numeric-verification.mddoc · 3,869 bytesreferences/litert-workflow.mddoc · 15,103 bytesreferences/pytorch-api-reference.mddoc · 2,657 bytesreferences/pytorch-data-layout.mddoc · 4,165 bytesreferences/pytorch-export-gotchas.mddoc · 4,857 bytesreferences/pytorch-export-patterns.mddoc · 5,362 bytesreferences/pytorch-numeric-verification.mddoc · 2,697 bytesreferences/pytorch-supported-models.mddoc · 3,493 bytesreferences/pytorch-workflow.mddoc · 5,826 bytesreferences/simulink-workflow.mddoc · 12,975 bytesreferences/tensorflow-to-litert-conversion.mddoc · 5,980 bytes
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