{"slug":"matlab-matlab-deploy-embedded-ai","source_name":"matlab/matlab-deploy-embedded-ai","name":"Matlab/Matlab Deploy Embedded AI","description":"Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder). Covers two workflow patterns: (1) MathWorks-native or imported models rebuilt as dlnetwork for lean hardware, (2) direct C/C++ code generation from PyTorch and LiteRT models. Both patterns support all targets (Cortex-M/A/R, x86, GPU). Trigger when: user wants to deploy AI to embedded targets; generate C/CUDA from neural networks; compress AI models for MCU; integrate AI in Simulink for system-level si","version":1,"lift":{"pass_rate_delta_pts":39.13,"pass_rate_pct":91.3,"total_cases":23,"passed_cases":21,"tokens_delta_pct":160.7,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-16T16:07:41.173704+00:00"},"skill_score":0.913,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":39.13,"with_pass_pct":91.3,"without_pass_pct":52.2,"tokens_delta_pct":160.7,"turns_delta_pct":0,"total_cases":23,"cases_aggregated":21,"verdict":"mixed","never_hurt":false,"completed_at":"2026-08-16T16:07:41.173704+00:00","run_id":"e3aff5bf-6b6f-45cf-b299-1e27355967d4","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":"2933d90c2ca1e6d2590c7f278af46a438589f3d22e5a0c41dea0e590c5cc8a2a","raw_url":"https://app.decimal.ai/s/matlab-matlab-deploy-embedded-ai/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/matlab-matlab-deploy-embedded-ai"}