Use this skill when the user asks to create, refactor, or standardize a reusable machine-learning training code architecture from an existing code example. Trigger for requests about preserving project architecture, main.py to train(args) workflow, config-driven training, factories, adapters, training loops, checkpoint/log/result saving, experiment reproducibility, static/dynamic graph compatibility, or making a template that can be reused across different model/data/task types.
