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
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0
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Machine Learning
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The skill has adequate structure with clear sections, but suffers from extremely generic content. The description mentions 'mixed precision trainer' but provides no specifics about what mixed precision training is, how to configure it (e.g., FP16/BF16 settings, gradient scaling, loss scaling strategies), or which frameworks are supported. Task knowledge is minimal—no concrete steps, code examples, or configuration templates are provided. The 'Example: Basic Usage' is a placeholder without actual implementation details. While mixed precision training is a valuable optimization technique that could reduce token costs by providing framework-specific templates, this implementation offers almost no actionable guidance beyond what a CLI agent could generate on its own. To improve: add specific instructions for PyTorch AMP, TensorFlow mixed_precision API, framework detection logic, gradient scaler configuration, and real code snippets demonstrating mixed precision setup.
jeremylongshore
Skill Author
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