claudecodex

mlx-optimizer

Python-first MLX optimization skills, references, and audit scripts for Apple Silicon.

0 on GitHubby Andrew Coxv0.2.6MITupdated 2 days agoProductivity
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Plugin mlx-optimizer from marketplace sealad886-codex-marketplace in sealad886/sealad886-codex-marketplace. Commands read from the repo's manifest — 2 days ago.

What it installs

Skills (6)

  • mlx-inference-optimizer

    Optimize Python MLX inference and generation loops with warmup, batching, cache handling, synchronization, quantization, and memory checks.

  • mlx-metal-kernels

    Guide MLX Metal profiling, mx.fast escalation, custom Metal kernels, and C++ extensions when profiling proves kernel-level bottlenecks.

  • mlx-optimizer

    Route Python-first MLX optimization work on Apple Silicon to focused audit, training, inference, Metal, or bridge workflows.

  • mlx-performance-audit

    Audit Python MLX repos for lazy-eval, synchronization, compile, dtype, memory, progress, and benchmark issues.

  • mlx-portability-bridges

    Advise on Python-first MLX integration with Swift, C, C++, and non-native language boundaries.

  • mlx-training-optimizer

    Optimize Python MLX training loops with value_and_grad, accumulation, checkpointing, dtype, validation cadence, memory telemetry, and progress reporting.

View source on GitHub

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