This skill helps you run training commands for deep learning research. It is designed to be careful and conservative. It makes sure every training run is recorded properly.
You can use it for startup verification, short-run verification, full kickoff, or resume handling. It creates a set of standard reports and logs in a folder called train_outputs. These include a summary, commands, log, changelog, comparability report, and status file.
The skill does not set up your environment or explore new ideas. It focuses on running a chosen command and saving all the evidence. This makes it easy to check what happened and repeat the run later.
Global
mkdir -p ~/.claude/skills/run-trainProject
mkdir -p .claude/skills/run-trainSource Repository
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