Fan out N parallel workers, drain them, and return one report. Use for /swarm, 'swarm this', or parallel coverage, races, gauntlets, and exploration.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Fan out N parallel cloud workers. They may cover separate slices, race the same brief, or mix both. The parent waits, aggregates, and returns one report.
Open a todolist with one entry per phase before launching anything.
first pass, rank all, or best-of before spawning.model on the Agent call only when a cheaper tier clearly fits mechanical work, or when the point is a model race, in which case name each arm's model up front./tmp/swarm-<slug>/worker-<n>/.Spawn all N workers in one message with the Agent tool, subagent_type: general-purpose, and isolation: "worktree" for every worker that writes, so their edits cannot collide. Inside a Rove session ($ROVE_TASK_ID set), workers that edit files are Rove tasks instead — rove api add --count N, or one add per slice (see the rove skill) — so the user can see and steer them.
Every brief stands alone. Include the goal, scope, exact slice or race arm, how to verify, and what to report. Reports use PASS, ISSUES, or BLOCKED with evidence.
If a worker drops out, proceed with N-1 and note it.
Read the terminal results. For coverage, every required slice needs a result. For a race, apply the selection rule declared up front. Use first pass, rank all, or best-of. Do not paste raw worker dumps.
Keep a compact result table, one-line evidenced issues, and explicit gaps or dropouts.
Return one consolidated in-chat report with the table, issue one-liners, gaps or dropouts, and the race rule when used.
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Sketch types, signatures, and module structure before code, then stay in the loop while implementation fills in. Use for /architect, 'architect this', 'design this', or non-trivial work where jumping to code would lock in the wrong shape.
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Spawn N parallel candidates at the same task, pick a base, graft the strongest parts of the losers into it. Use for /arena, 'arena this', 'throw it in the arena', or when one attempt at a non-trivial artifact would lock in the wrong shape.
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在 rove 仓库内跑 auto-motion——把 transcription.srt 拆成多段 MG 动画镜头并拼接成竖屏视频(storyboard 分镜 + theme.md 全片主题 + 逐镜头 claude -p 子进程 + ffmpeg 拼接)。本 skill 是薄 wrapper:解析 auto-motion 模板根,继承 rove 品牌 theme,执行逻辑以 auto-motion 仓库的 canonical SKILL.md 为准。当用户说"跑 auto-motion"、"把这个字幕稿/口播稿做成视频"、"给 rove 做一条 MG 宣传片"时使用。
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Find what a change could break somewhere else before it ships, beyond the diff, and prove the one fact it's safe because of by running real code instead of writing it up. Use for 'blast radius of X', 'what could this break', or reviewing a small diff you don't trust.
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Draft Rove release notes as Changesets. Writes user-facing entries as `.changeset/*.md` files for `@sma1lboy/rove` (consumed into `packages/rove/CHANGELOG.md` at release time). Use when the user asks for "changelog", "release notes", "what changed", "add a changeset", or before cutting a version. Enforces Rove's no-soft-wrap rule so GitHub release pages render flowing text.
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Design an auditable playbook when no narrower one fits: a large migration, an ambitious multi-part change, or work a human reviews after stepping away. Scales rigor to the task, runs a hypothesis loop, and logs decisions via show-me-your-work. Use for /figure-it-out, 'figure it out', a large migration, or when no narrower playbook applies.
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