splitting-datasets

5.8

Process split datasets into training, validation, and testing sets for ML model development. Use when requesting "split dataset", "train-test split", or "data partitioning". Trigger with relevant phrases based on skill purpose.

data-splitting

5.8

Rating

Installs

Machine Learning

Quick Review

This skill provides a solid foundation for dataset splitting with clear examples and use cases. The description adequately covers what the skill does and when to invoke it. The SKILL.md references supporting scripts (split_data.py, config files, example datasets) which are assumed to provide the implementation details. Structure is reasonable with good organization of examples and best practices. However, novelty is moderate since dataset splitting is a straightforward task that could be handled with simple pandas/scikit-learn commands - the value add over direct coding is limited. The skill would benefit from more specific details about configurable parameters (stratification options, random seed control, custom split ratios) and how the referenced scripts/config files integrate with the main workflow.