Skills for Real Engineers. Straight from my .agents directory.
39 skills
matlab-deploy-ai-model
Agent skill from
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.
How to install matlab-deploy-ai-model
install matlab-deploy-ai-model
# install the matlab-agentic-toolkit pack with the skills CLI
npx skills add matlab/matlab-agentic-toolkit# or add only this skill to Claude Code: copy the folder
skills-catalog/code-generation/matlab-deploy-ai-model/
# into
~/.claude/skills/matlab-deploy-ai-model/ (all projects)
.claude/skills/matlab-deploy-ai-model/ (one project)
More skills in matlab-agentic-toolkit
- ▸matlab-compute-aerospace-environment
- ▸matlab-convert-aerospace-coordinates
- ▸matlab-analyze-reliability
- ▸matlab-classify-tabular-data
- ▸matlab-deploy-embedded-ai
- ▸matlab-engineer-tabular-features
- ▸matlab-fit-curve
- ▸matlab-import-external-ai-model
- ▸matlab-interpret-machine-learning-model
- ▸matlab-train-network
- ▸matlab-use-experiment-manager
- ▸matlab-use-machine-learning-apps
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