cavit99 / mlx
Use when working with Apple's MLX or MLX-LM: fact-checking current behavior against upstream source/runtime, patching MLX-based repos, porting PyTorch/JAX code to MLX, validating lazy evaluation, indexing, compilation, streams, channels-last layouts, Metal kernels, quantization, caches, and local MLX model loading or generation on Apple silicon.
📄 SKILL.mduniversal
