ultrawork

<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 Ralph </Use_When>

<Do_Not_Use_When>

• Task requires guaranteed completion with persistence, architect verification, or deslop/reverification -- 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 -- execute directly or delegate to a single executor
• The request is still in plan-consensus mode -- keep planning artifacts in ralplan until execution is explicitly authorized
• 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 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 docs/shared/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 omx_state MCP tools for ultrawork lifecycle state.

• On start: state_write({mode: "ultrawork", active: true, reinforcement_count: 1, started_at: "<now>"})
• On each reinforcement/loop step: state_write({mode: "ultrawork", reinforcement_count: <current>})
• On completion: state_write({mode: "ultrawork", active: false})
• On cancellation/cleanup: run $cancel (which should call state_clear(mode="ultrawork"))

Direct-tool lane:

• update skills/ultrawork/SKILL.md

Background evidence lane:

• delegate(role="test-engineer", tier="STANDARD", task="Map which hook tests cover ultrawork activation messaging", model="...")

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:

delegate(role="executor", tier="STANDARD", task="Implement whatever seems necessary", model="...") delegate(role="test-engineer", tier="STANDARD", task="Figure out how to test it later", model="...")

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 (not via Ralph), apply lightweight verification only -- build/typecheck passes when relevant, affected tests pass, and manual QA notes are captured when needed.
- Ralph owns persistence, architect verification, deslop, and the full verified-completion promise. Do not claim those guarantees from direct ultrawork alone.
- 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

ralph (persistence + verified completion wrapper) -- includes: ultrawork (this skill) -- provides: high-throughput execution + lightweight evidence

autopilot (autonomous execution) -- includes: ralph -- includes: ultrawork (this skill)

ecomode (token efficiency) -- modifies: ultrawork's model selection

Ultrawork is the parallelism and execution-discipline layer. Ralph adds persistence, architect verification, deslop, and retry-until-done behavior. Autopilot adds the broader autonomous lifecycle pipeline. Ecomode adjusts ultrawork's model routing to favor cheaper models.
</Advanced>