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Yeachan-Heo/ultrawork

Yeachan-Heo

ultrawork

Parallel execution engine for high-throughput task completion

global
0installs0uses~1.4k
v1.0Saved Apr 12, 2026

<Use_When>

  • Multiple independent tasks can run simultaneously
  • User says "ulw", "ultrawork", or wants parallel execution
  • You need to delegate work to multiple agents at once
  • Task benefits from concurrent execution but the user will manage completion themselves </Use_When>

<Do_Not_Use_When>

  • Task requires guaranteed completion with verification -- use ralph instead (ralph includes ultrawork)
  • Task requires a full autonomous pipeline -- use autopilot instead (autopilot includes ralph which includes ultrawork)
  • There is only one sequential task with no parallelism opportunity -- delegate directly to an executor agent
  • User needs session persistence for resume -- use 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>

  • Fire all independent agent calls simultaneously -- never serialize independent work
  • Always pass the model parameter explicitly when delegating
  • Read docs/shared/agent-tiers.md before first delegation for agent selection guidance
  • Use run_in_background: true for operations over ~30 seconds (installs, builds, tests)
  • Run quick commands (git status, file reads, simple checks) in the foreground </Execution_Policy>

<Tool_Usage>

  • Use Task(subagent_type="oh-my-claudecode:executor", model="haiku", ...) for simple changes
  • Use Task(subagent_type="oh-my-claudecode:executor", model="sonnet", ...) for standard work
  • Use Task(subagent_type="oh-my-claudecode:executor", model="opus", ...) for complex work
  • Use run_in_background: true for package installs, builds, and test suites
  • Use foreground execution for quick status checks and file operations </Tool_Usage>

<Escalation_And_Stop_Conditions>

  • When ultrawork is invoked directly (not via ralph), apply lightweight verification only -- build passes, tests pass, no new errors
  • For full persistence and comprehensive architect verification, recommend switching to ralph mode
  • If a task fails repeatedly across retries, report the issue rather than retrying indefinitely
  • Escalate to the user when tasks have unclear dependencies or conflicting requirements </Escalation_And_Stop_Conditions>

<Final_Checklist>

  • All parallel tasks completed
  • Build/typecheck passes
  • Affected tests pass
  • No new errors introduced </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.

Analysis failed

429 {"type":"error","error":{"type":"rate_limit_error","message":"This request would exceed your organization's rate limit of 450,000 input tokens per minute (org: a7b9459e-09e0-417d-ba38-f43911180ff6, model: claude-haiku-4-5-20251001). For details, refer to: https://docs.claude.com/en/api/rate-limits. You can see the response headers for current usage. Please reduce the prompt length or the maximum tokens requested, or try again later. You may also contact sales at https://claude.com/contact-sales to discuss your options for a rate limit increase."},"request_id":"req_011CaE48NGnaaX2xmnm5YtVM"}

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Version History

v1.1

Content updated

2026-04-20

Latest
v1.0

No changelog

2026-04-12

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Yeachan-Heo/ultrawork | SkillRepo