What problem does it solve? Running research experiments involves repetitive ceremony: allocating run numbers, writing configuration overrides, drafting plan documents, and monitoring long-running jobs. This Skill standardizes the full run lifecycle so every experiment follows the same folder structure and commit discipline. ## Core Features & Use Cases - Plan mode: Interviews the researcher in batches of questions, allocates a global run number, writes run.yaml overrides, and produces a structured plan document ending with the exact launch command. - Execute mode: Runs a smoke pass for long jobs, hands off launch commands, monitors run.log for failure signatures, recovers transient failures, and commits summary.json on completion. - Use Case: A researcher sketching a new training run says "plan a run" — the Skill interviews them about configuration, diffs the overrides against a sibling run, writes the plan file, and prepares the launch command without ever auto-launching long jobs. ## Quick Start Ask the assistant to plan a new experiment run for your current hypothesis using the experiment skill.