claude

code-generation

Embedded Coder, Fixed-Point Designer, GPU Coder, MATLAB Coder, MATLAB Test, Parallel Computing Toolbox, and MATLAB Coder Support Package for PyTorch and LiteRT Models.

1,294 on GitHubby MathWorksv0.4.1updated 3 days agodevelopment
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Plugin code-generation from marketplace matlab-agentic-toolkit in matlab/matlab-agentic-toolkit. Commands read from the repo's manifest — 3 days ago.

What it installs

Skills (5)

  • 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

  • matlab-deploy-embedded-code

    Deploy MATLAB-generated code to embedded hardware using Embedded Coder. Use when configuring code generation for microcontrollers (STM32, Raspberry Pi, ARM Cortex), setting up PIL/SIL verification, disabling dynamic memory allocation, or configuring hardware-specific code generation settings. Covers

  • matlab-generate-code

    Generate, verify, refine, and accelerate C/C++ or CUDA code from MATLAB with MATLAB Coder, Embedded Coder, GPU Coder, or MATLAB Test. Also covers writing codegen-ready MATLAB code: language constraints, coder.* directives, and optimization patterns. Triggers on: codegen, MEX, deploy MATLAB as C/C++,

  • matlab-optimize-gpu-codegen

    Optimize MATLAB design files for GPU Coder to generate faster CUDA code. Iteratively profiles, rewrites, and benchmarks until performance targets are met or diagnostics are resolved. Use when asked to: optimize for GPU Coder, improve GPU codegen performance, profile generated GPU/CUDA code, profile

  • matlab-review-fi-object-code

    Reviews MATLAB fixed-point (fi) code for performance, code generation efficiency, and correctness. Identifies antipatterns and suggests idiomatic improvements. Use when reviewing fi, fimath, numerictype, or quantizenumeric code.

View source on GitHub mathworks.com

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