| name | parallel-ops |
| description | Router for parallel or recurring agent work across six skills. Covers: parallel agents, fan out work, delegate to workers, run overnight, scheduled loop, land branches, mixed-model fleet, orchestrate workers, background agents at scale. Triggers on: which skill for parallel work, fan out agents, spawn workers, run this overnight, schedule a loop, land my branches, heterogeneous fleet, delegate to cheaper model, autonomous loop. |
| when_to_use | Use first when parallel or recurring agent work is needed but the right skill among fleet-ops, fleet-worker, fleetflow, loop-ops, iterate, spawn is unclear - e.g. run several agents at once, set up something that runs overnight, delegate this cheaply. |
| license | MIT |
| allowed-tools | Read |
| metadata | {"author":"claude-mods","related-skills":"fleet-ops, fleet-worker, fleetflow, loop-ops, iterate, spawn"} |
Parallel Ops — router
You have parallel or recurring agent work and don't know which skill owns it.
Six skills orbit this space and their names alone don't disambiguate. This
router owns cross-family discovery; read the table, jump to the one skill
you need, and stop reading here.
The decision table
| You want | Go to | Not this, because |
|---|
| Parallel subtasks run by your session's OWN provider and model tier, in-process | native Workflow tool / Agent subagents (isolation: worktree) | not a fleet skill at all — no dedicated skill needed |
| Work done by a CHEAPER brain than your session (GLM/Haiku/Sonnet-under-Opus) — one subtask or a whole fan-out, all one brain type | fleet-worker | fleetflow is overkill when every worker runs the same brain |
| DIFFERENT brains per work class in one run, or cross-provider dissent in verify (e.g. Codex or Grok refutes GLM) | fleetflow | fleet-worker runs one brain type per run (any provider, but not mixed). Also the home for a Grok (xAI) worker — its own binary, not a claude -p brain |
| Work that RECURS on a schedule across sessions — cron, routine, unattended ticks | loop-ops | iterate is one continuous session, not a schedule |
| Drive ONE mechanical metric to a target in one continuous session (even a long overnight one) | iterate | loop-ops is the scheduler around sessions, not the session itself |
| Land/merge branches that parallel work produced | fleet-ops | the terminus for every branch-producing row above (in-process subagents and prompt authoring produce no branches) |
| Author a static expert-agent prompt FILE (not a runtime worker) | spawn | listed only to catch the name collision with "spawn workers" |
Tie-breakers for the two classic overlaps: "many files, cheap models" is
brain economics, not count — cheaper brain → fleet-worker, own brain →
native. "Run overnight until X" is session shape, not duration — one
continuous run → iterate; scheduled re-entry across sessions → loop-ops.
Two axes that confuse cold agents
Spawn vs. land. fleet-worker and fleetflow spawn workers and produce
branches; fleet-ops lands those branches through a test-gated queue.
Every branch-producing lane ends at fleet-ops regardless of how it was
spawned — agent team, background agent, claude -p worker, or human.
Inner loop vs. outer loop. iterate is the inner loop: one session,
one metric, git as memory, runs until a stop condition. loop-ops is the
outer loop: the scheduler and risk-tier discipline that decides when
and whether to fire a run (inner loop or otherwise) unattended.
Composition chain
iterate (inner loop) → loop-ops (outer loop / scheduler)
↓
fleet-worker / fleetflow (spawn workers)
↓
fleet-ops (land branches)
Not every task uses the whole chain — most use exactly one link. Read the
table above first; only compose when the task genuinely spans spawn +
land or inner + outer.
See also
- fleet-ops — landing discipline: test-gated queue, pre-land scrub, auto-rebase, revert
- fleet-worker — one cheap headless worker (GLM, Sonnet, Haiku) fanned out and gated
- fleetflow — heterogeneous cross-provider fleet (GLM + Codex + Grok + Anthropic)
- loop-ops — outer-loop design: risk tiers, kill switch, scheduling
- iterate — autonomous single-metric improvement loop
- spawn — generates expert-agent prompt files (authoring, not runtime)
