{"slug":"matlab-matlab-deploy-ai-model","source_name":"matlab/matlab-deploy-ai-model","name":"Matlab/Matlab Deploy AI Model","description":"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. This skill currently documents the PyTorch ExportedProgram (.pt2) workflow via loadPyTorchExportedProgram; LiteRT is already supported by the product (loa","version":1,"lift":{"pass_rate_delta_pts":54.55,"pass_rate_pct":100,"total_cases":22,"passed_cases":22,"tokens_delta_pct":71.6,"turns_delta_pct":0,"verdict":"pass","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-16T16:24:13.383137+00:00"},"skill_score":1,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":54.55,"with_pass_pct":100,"without_pass_pct":45.5,"tokens_delta_pct":71.6,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":21,"verdict":"pass","never_hurt":true,"completed_at":"2026-08-16T16:24:13.383137+00:00","run_id":"cd550f0a-39da-4b70-baa8-48f27ae011a2","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"https://www.mathworks.com/content/dam/mathworks/license/pmrl/license.md","install_count":0,"manifest_hash":"2e6280b504d80f36b2e8fb0a536541064601faab98e8ef559ccf65642955c202","raw_url":"https://app.decimal.ai/s/matlab-matlab-deploy-ai-model/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/matlab-matlab-deploy-ai-model"}