인터페이스는 현지화되어 있으며, Skill 소개와 설명 문서는 선택한 언어로 AI가 자동 번역합니다. 코드·명령어·경로·전문 용어는 원문을 유지하며 원작자 문서가 우선합니다.
Skills 둘러보기
생산성 및 협업 · SKILL.md

ultrawork

ultrawork

Parallel execution engine for high-throughput task completion

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: ultrawork description: Parallel execution engine for high-throughput task completion

<Use_When>

  • Multiple independent tasks can run simultaneously
  • User says "ulw", "ultrawork", or explicitly wants parallel execution
  • Task benefits from concurrent execution plus lightweight evidence before wrap-up
  • You need a direct-tool lane plus optional background evidence lanes without entering Team or a durable goal workflow </Use_When>

<Do_Not_Use_When>

  • Task needs durable goal tracking, ledger checkpoints, or resume across stories -- use ultragoal instead
  • Task needs coordinated tmux workers, shared task state, mailbox/dispatch coordination, or long-running parallel execution -- use team instead
  • Task requires a full autonomous pipeline -- use autopilot instead (default loop: deep-interview -> ralplan -> ultragoal, with team only when needed)
  • Task intentionally requires the legacy persistent single-owner completion/verification loop -- use ralph explicitly; do not present it as the default durable path
  • There is only one sequential task with no parallelism opportunity -- execute directly, use ultragoal for durable tracking, or delegate to a single executor
  • The request is still in plan-consensus mode -- keep planning artifacts in ralplan until execution is explicitly authorized </Do_Not_Use_When>

<Why_This_Exists> Sequential task execution wastes time when tasks are independent. Ultrawork keeps the execution branch fast while tightening the protocol: gather enough context first, define pass/fail acceptance criteria before editing, decide deliberately between local execution and delegation, and finish with evidence rather than vibes. </Why_This_Exists>

<Execution_Policy>

  • Gather enough context before implementation. Start with the task intent, desired outcome, constraints, likely touchpoints, and any uncertainty that would change the execution path.
  • If uncertainty is still material after a quick repo read, do a focused evidence pass first instead of immediately editing.
  • Define pass/fail acceptance criteria before launching execution lanes. Include the command, artifact, or manual check that will prove success.
  • Prefer direct tool work when the task is small, coupled, or blocked on immediate local context. Delegate only when the work is independent enough to benefit from parallel execution.
  • When useful, run a direct-tool lane and one or more background evidence lanes at the same time. Evidence lanes can cover docs, tests, regression mapping, or bounded repo analysis.
  • Fire independent agent calls simultaneously -- never serialize independent work.
  • Always pass the model parameter explicitly when delegating.
  • Read references/agent-tiers.md before first delegation for agent selection guidance.
  • Auto-delegate researcher when official docs, version-aware framework guidance, best practices, or external dependency behavior materially affect task correctness; treat it as an evidence lane, not a replacement primary workflow.
  • 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.
  • Apply the shared workflow guidance pattern: outcome-first framing, concise visible updates for speculative/blocked lanes, local overrides for the active workflow branch, evidence-backed validation, explicit stop rules, and continuation of clear safe execution branches instead of restarting or re-asking.
  • If the user says continue, continue the active workflow branch rather than restarting discovery or re-asking settled questions. </Execution_Policy>

<Tool_Usage>

  • Use LOW-tier delegation for simple lookups and bounded evidence gathering.
  • Use STANDARD-tier delegation for standard implementation and regression work.
  • Use THOROUGH-tier delegation for complex analysis, architectural review, or risky multi-file changes.
  • Prefer a direct-tool lane when the immediate next step is blocked on local context.
  • Prefer background evidence lanes when you can learn something useful in parallel with implementation.
  • Use run_in_background: true for package installs, builds, and test suites.
  • Use foreground execution for quick status checks and file operations. </Tool_Usage>

State Management

Use the CLI-first state surface (omx state ... --json) for ultrawork lifecycle state. If explicit MCP compatibility tools are already available, equivalent omx_state calls are optional compatibility, not the default.

  • On start: omx state write --input '{"mode":"ultrawork","active":true,"reinforcement_count":1,"started_at":"<now>"}' --json
  • On each reinforcement/loop step: omx state write --input '{"mode":"ultrawork","reinforcement_count":<current>}' --json
  • On completion: omx state write --input '{"mode":"ultrawork","active":false}' --json
  • On cancellation/cleanup: run $cancel (which should call omx state clear --input '{"mode":"ultrawork"}' --json)

Direct-tool lane:

  • update skills/ultrawork/SKILL.md

Background evidence lane:

  • use /prompts:test-engineer for this scoped task
Why good: Context is grounded first, acceptance criteria are explicit, and the direct-tool lane runs alongside a bounded evidence lane.
</Good>

<Good>
Correct use of self-vs-delegate judgment:

Shared-file edit in progress across src/scripts/codex-native-hook.ts and its test -> keep implementation local. Independent regression mapping for keyword-detector coverage -> delegate to a test-engineer lane.

Why good: Shared-file work stays local; independent evidence work fans out.
</Good>

<Bad>
Parallelizing before the task is grounded:

use /prompts:executor for this scoped task use /prompts:test-engineer for this scoped task

Why bad: No context snapshot, no pass/fail target, and delegation starts before the work is shaped.
</Bad>

<Bad>
Claiming success without evidence or manual QA:

Made the changes. Ultrawork should be updated now.

Why bad: No verification output, no acceptance evidence, and no manual QA note when the behavior is user-visible.
</Bad>
</Examples>

<Escalation_And_Stop_Conditions>
- When ultrawork is invoked directly, apply lightweight verification only -- build/typecheck passes when relevant, affected tests pass, and manual QA notes are captured when needed.
- Ultrawork does not own persistence, durable ledgers, architect verification, deslop, full QA, or the full verified-completion promise. Do not claim those guarantees from direct ultrawork alone.
- Escalate to `ultragoal` when the work needs durable goal state, story checkpoints, or resume across implementation steps.
- Escalate to `team` when the work needs coordinated tmux workers, shared task state, or durable multi-worker lifecycle control.
- Escalate to explicitly requested `ralph` only for the supported legacy single-owner persistence/verification fallback.
- Ralph owns persistence, architect verification, deslop, and the full verified-completion promise only when explicitly selected as the supported legacy fallback; direct ultrawork does not own those guarantees.
- If a task fails repeatedly across retries, report the issue rather than retrying indefinitely.
- Escalate to the user when tasks have unclear dependencies, conflicting requirements, or a materially branching acceptance target.
</Escalation_And_Stop_Conditions>

<Final_Checklist>
- [ ] Task intent and constraints were grounded before editing
- [ ] Pass/fail acceptance criteria were stated before execution
- [ ] Parallel lanes were used only for independent work
- [ ] Build/typecheck passes when relevant
- [ ] Affected tests pass
- [ ] Manual QA notes recorded when behavior is user-visible
- [ ] No new errors introduced
- [ ] Completion claim stays inside ultrawork's lightweight-verification boundary
</Final_Checklist>

<Advanced>
## Relationship to Other Modes

ultrawork (this skill) -- provides: in-session parallel execution discipline + lightweight evidence

ultragoal (durable goal execution) -- owns: goal ledger, checkpoints, resume across stories, final gate discipline -- may use: team for parallel lanes when a story benefits from coordinated workers

team (tmux coordinated execution) -- owns: worker panes, shared task state, mailbox/dispatch, lifecycle control -- can return: checkpoint-ready evidence to an Ultragoal leader

autopilot (strict autonomous delivery loop) -- default flow: deep-interview -> ralplan -> ultragoal -> code-review -> ultraqa -- may use: team only when an Ultragoal story needs parallel execution

ralph (supported legacy explicit fallback) -- owns: single-owner persistence loop + architect verification when intentionally selected

ecomode (deprecated compatibility-only) -- do not route users there from ultrawork; it is not the current model-selection path


Ultrawork is the parallelism and execution-discipline layer. Ultragoal is the current default durable goal/ledger follow-up. Team is the coordinated tmux parallel runtime, often nested under an Ultragoal story when durable work needs multiple lanes. Autopilot orchestrates the full default lifecycle through deep-interview, ralplan, ultragoal, code-review, and ultraqa. Ralph remains active as an explicit legacy fallback for persistent single-owner verification, but it is not the recommended default durable path. Ecomode is deprecated compatibility-only and should not be advertised as the ultrawork model-selection route.
</Advanced>
저장한 Skills