Parallel execution engine for high-throughput task completion
56
46%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/ultrawork/SKILL.md<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)<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<Escalation_And_Stop_Conditions>
ralph mode<Final_Checklist>
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>
48ffaac
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.