dataset-loader-creator

Quick Review

The skill is well-structured with clear sections but severely lacks substantive content. The description is too vague ('create dataset loader creator operations') for a CLI agent to understand when and how to invoke it. Task knowledge is minimal—there are no concrete steps, code examples, or scripts for actually creating dataset loaders (e.g., PyTorch DataLoader, TensorFlow Dataset API). The skill reads more like a template than a functional resource. While the structure is good, the actual guidance is generic ('step-by-step guidance', 'best practices') without specifics. Novelty is low-to-moderate because dataset loader creation is a common ML task that a capable LLM could handle directly, though automation could save tokens if properly implemented. To improve: add concrete code patterns for common frameworks, specify what 'dataset loader creator' actually creates, provide real examples, and detail the automation logic.