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Get Started Free →Parallel execution engine for high-throughput task completion
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | 3% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 67% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 209% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 65% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 126% | 0% |
<Purpose> Ultrawork is a parallel execution engine and execution protocol for independent work. It emphasizes intent grounding, parallel context gathering, dependency-aware task graphs for non-trivial work, and concise evidence-backed execution summaries. It is a component, not a standalone persistence mode -- it provides parallelism and routing guidance, but not persistence, verification loops, or long-lived state management. </Purpose>
<Use_When>
</Use_When>
<Do_Not_Use_When>
ralph instead (ralph includes ultrawork)autopilot instead (autopilot includes ralph which includes ultrawork)ralph which adds persistence on top of ultrawork</Do_Not_Use_When>
<Why_This_Exists> Sequential task execution wastes time when tasks are independent. Ultrawork enables firing multiple agents simultaneously and routing each to the right model tier, reducing total execution time while controlling token costs. It is designed as a composable component that ralph and autopilot layer on top of. </Why_This_Exists>
<Execution_Policy>
model parameter explicitly when delegatingdocs/shared/agent-tiers.md before first delegation for agent selection guidancerun_in_background: true for operations over ~30 seconds (installs, builds, tests)</Execution_Policy>
<Steps>
docs/shared/agent-tiers.md for tier selectionrun_in_background: true</Steps>
<Tool_Usage>
Task(subagent_type="oh-my-claudecode:executor", model="haiku", ...) for simple changesTask(subagent_type="oh-my-claudecode:executor", model="sonnet", ...) for standard workTask(subagent_type="oh-my-claudecode:executor", model="opus", ...) for complex workrun_in_background: true for package installs, builds, and test suites</Tool_Usage>
<Examples> <Good> Three independent tasks fired simultaneously:
Task(subagent_type="oh-my-claudecode:executor", model="haiku", prompt="Add missing type export for Config interface")
Task(subagent_type="oh-my-claudecode:executor", model="sonnet", prompt="Implement the /api/users endpoint with validation")
Task(subagent_type="oh-my-claudecode:executor", model="sonnet", prompt="Add integration tests for the auth middleware")Why good: Independent tasks at appropriate tiers, all fired at once. </Good>
<Good> Correct use of background execution:
Task(subagent_type="oh-my-claudecode:executor", model="sonnet", prompt="npm install && npm run build", run_in_background=true)
Task(subagent_type="oh-my-claudecode:executor", model="haiku", prompt="Update the README with new API endpoints")Why good: Long build runs in background while short task runs in foreground. </Good>
<Bad> Sequential execution of independent work:
result1 = Task(executor, "Add type export") # wait...
result2 = Task(executor, "Implement endpoint") # wait...
result3 = Task(executor, "Add tests") # wait...Why bad: These tasks are independent. Running them sequentially wastes time. </Bad>
<Bad> Wrong tier selection:
Task(subagent_type="oh-my-claudecode:executor", model="opus", prompt="Add a missing semicolon")Why bad: Opus is expensive overkill for a trivial fix. Use executor with Haiku instead. </Bad> </Examples>
<Escalation_And_Stop_Conditions>
ralph mode</Escalation_And_Stop_Conditions>
<Final_Checklist>
</Final_Checklist>
.omc-workspace marker at the parent directory so multiple sessions across sub-repos share one .omc/. Resolution order: OMC_STATE_DIR > .omc-workspace > git > cwd. See docs/REFERENCE.md.<Advanced>
ralph (persistence wrapper)
\-- includes: ultrawork (this skill)
\-- provides: parallel execution only
autopilot (autonomous execution)
\-- includes: ralph
\-- includes: ultrawork (this skill)Ultrawork is the parallelism layer. Ralph adds persistence and verification. Autopilot adds the full lifecycle pipeline. </Advanced>
Other measured skills in the registry, with their headline benchmark lift.