swarmlisted

# Swarm 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. ## Start Open a todolist with one entry per phase before launching anything. 1. Frame 2. Fan out 3. Aggregate 4. Report ## Phase A: Frame 1. State the done predicate and the artifact or report the swarm must return. 2. Choose the shape. Partition into slices, race N workers on identical briefs, or mix both. For a race or mixed shape, declare `first pass`, `rank all`, or `best-of` before spawning. 3. Set N from the user or derive it from the shape. N is total workers, not the cloud concurrency limit. 4. Pick the worker model from `swarm workers` in your host's `## <host>` section of `~/.agents/ramstack-models.md` when present. Otherwise use `sonnet`. For a model race, name each arm's model up front. 5. Give each worker its own writable output when it writes. Use a worktree, branch, or `/tmp/swarm-<slug>/worker-<n>/`. ## Phase B: Fan out Invoking this skill is the user's request to spawn these workers. A host default that gates the Agent tool on a user request is satisfied. Spawn all N workers in one message with `subagent_type: general-purpose`, in the background, on cloud/remote execution when the host supports it, and the configured model. Run a worker locally only when it needs access to something on the user's computer. When a worker must start from a non-default pushed branch, name that base branch in i