domain-ml

Quick Review

Excellent domain skill for Rust ML/AI development. The description clearly signals when to use it (ML/AI tasks, specific libraries). Structure is well-organized with clear constraint→design mapping, practical code patterns for inference servers and batching, and helpful use-case→framework guidance. Task knowledge is strong with concrete examples, common mistakes, and crate recommendations. Novelty is good: encoding domain-specific knowledge (memory efficiency, GPU utilization, model portability patterns) that would require many tokens for a CLI agent to discover. Minor improvement: could include more complex patterns like model composition or custom operators, but current coverage of inference, batching, and lifecycle management addresses the most common scenarios effectively.