run-train

Use the shared operating principles in ../../references/agent-operating-principles.md; this skill should keep training evidence bounded while leaving repository-specific monitoring details to the model.

When to apply

• When the training command has already been selected and should be executed conservatively.
• When the researcher wants startup verification, short-run verification, full training kickoff, or resume handling.
• When the run needs structured training status, checkpoint, and metric reporting.

When not to apply

• When the main task is environment setup or asset download.
• When the researcher wants inference-only or evaluation-only execution.
• When the task is speculative exploration, multi-variant sweeps, or autonomous idea implementation.
• When the user still needs repository intake or paper gap resolution.