Configure distributed training setup operations. Auto-activating skill for ML Training. Triggers on: distributed training setup, distributed training setup Part of the ML Training skill category. Use when working with distributed training setup functionality. Trigger with phrases like "distributed training setup", "distributed setup", "distributed".
4.0
Rating
0
Installs
Machine Learning
Category
The skill has reasonable structure but severely lacks concrete task knowledge and actionable guidance. The description mentions 'distributed training setup' but provides no specifics about what distributed training frameworks (PyTorch DDP, Horovod, DeepSpeed, etc.), architectures (multi-GPU, multi-node), or configurations it supports. Task knowledge is essentially absent—no code examples, configuration templates, or step-by-step procedures are provided. A CLI agent reading only the description would not understand what specific distributed training capabilities are offered (e.g., setting up communication backends, initializing process groups, configuring data parallelism). The structure is clean and well-organized, earning points there. Novelty is moderate since distributed training setup (multi-GPU coordination, NCCL/Gloo configuration, launcher scripts) is genuinely complex and could benefit from automation, but without concrete implementation details, the actual utility is unclear.
jeremylongshore
Skill Author
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