Manage mixed precision trainer operations. Auto-activating skill for ML Training. Triggers on: mixed precision trainer, mixed precision trainer Part of the ML Training skill category. Use when working with mixed precision trainer functionality. Trigger with phrases like "mixed precision trainer", "mixed trainer", "mixed".
4.0
Rating
0
Installs
Machine Learning
Category
The skill has clear structure and organization but lacks substantive content. The description is too vague ('Manage mixed precision trainer operations') for a CLI agent to understand when and how to invoke this skill effectively. Task knowledge is minimal—there are no concrete steps, code examples, or technical details about mixed precision training (e.g., FP16/BF16, gradient scaling, automatic mixed precision APIs). The skill reads as a generic template without domain-specific implementation. While mixed precision training is a valuable optimization technique that could justify a dedicated skill, this implementation provides no actionable guidance beyond placeholder text. To improve: add specific mixed precision concepts (AMP, loss scaling, dtype casting), concrete code snippets for PyTorch/TensorFlow AMP, performance benchmarking steps, and clear criteria for when mixed precision is beneficial vs. problematic.
jeremylongshore
Skill Author
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