Optimize deep learning models using Adam, SGD, and learning rate scheduling to improve accuracy and reduce training time. Use when asked to "optimize deep learning model" or "improve model performance". Trigger with phrases like 'optimize', 'performance', or 'speed up'.
5.2
Rating
0
Installs
Machine Learning
Category
The skill provides a reasonable foundation for deep learning optimization with clear use cases and examples. The description covers basic capabilities (Adam, SGD, learning rate scheduling) and trigger phrases. Task knowledge appears adequate with referenced scripts for analysis, optimization, validation, and scheduling. However, the structure has issues: SKILL.md contains generic boilerplate sections that add clutter without specifics, and there are duplicate README.md entries in the tree. Novelty is moderate—while optimizing deep learning models involves complexity, the described techniques (optimizer selection, learning rate scheduling) are relatively standard operations that a capable CLI agent could handle with guidance, though the automated analysis and strategy selection adds some value. The skill would benefit from removing generic sections, providing more technical details about optimization strategies, and clarifying the relationship between SKILL.md and the scripts directory.
jeremylongshore
Skill Author
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