run-train

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. Show more