What problem does it solve? Multi-round autonomous research runs leave outputs scattered at the project root and require manual bookkeeping to decide what to explore next. This Skill handles the between-round transition: it archives the finished round's outputs and drafts a starting task.md for the next round based on what has already been explored. ## Core Features & Use Cases - Round Archiving: Moves the just-finished round's outputs (idea-stage, refine-logs, verify, review-stage, ledgers, caches) into rounds/round_<N>/ using a keep-list approach, with a hard-stop guard against clobbering existing archives. - Memory-Driven Recommendations: Reads the orchestrator-owned research_memory.json to recommend whether the next round should explore a new behavior or a new mechanism for an existing behavior, based on each behavior's status (established, inconclusive, not-established). - Draft task.md Generation: Writes a draft task.md for the next round carrying the research direction, recommended behavior-source/mechanism parameters, and a human-readable summary of prior findings. - Use Case: After an /auto round concludes that a behavior is established but a mechanism direction remains untried, run /next-round new-mechanism <behavior-id> to archive the round and get a pre-filled task.md that keeps the same stimuli and activation caches for the follow-up run. ## Quick Start After your /auto round finishes, run /next-round with new-behavior or new-mechanism plus a behavior id to archive the round and draft the next task.md.