CtrlK
BlogDocsLog inGet started
Tessl Logo

ultrawork

Parallel execution engine for high-throughput task completion

44

Quality

45%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./plugins/oh-my-codex/skills/ultrawork/SKILL.md
SKILL.md
Quality
Evals
Security
Ultrawork is a parallel execution engine for high-throughput task completion. It is a component, not a standalone persistence or verification mode: it provides parallelism, context discipline, and smart delegation guidance, but not durable goal tracking, Team's tmux worker lifecycle, Ralph's legacy persistence loop, architect sign-off, or long-running completion guarantees.

<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>
1. **Read agent reference**: Load `references/agent-tiers.md` for tier selection. 2. **Context + certainty check**: - State the task intent in one sentence. - List the constraints and unknowns that could invalidate a quick fix. - If confidence is low, explore first and narrow the task before editing. 3. **Define acceptance criteria before execution**: - What must be true at the end? - Which command or artifact proves it? - Which manual QA check is required, if any? 4. **Classify the work by dependency shape**: - Independent tasks -> parallel lanes. - Shared-file or prerequisite-heavy tasks -> local execution or staged lanes. 5. **Choose self vs delegate deliberately**: - Work locally when the next step depends on immediate repo context, shared files, or tight iteration. - Delegate when the task slice is bounded, independent, and materially improves throughput. 6. **Run execution lanes**: - Direct-tool lane for immediate implementation or verification work. - Background evidence lanes for tests, docs, repo analysis, or regression checks. 7. **Run dependent tasks sequentially**: Wait for prerequisites before launching dependent work. 8. **Close with lightweight evidence**: - Build/typecheck passes when relevant. - Affected tests pass. - Manual QA notes are recorded when the task needs a human-visible or behavior-level check. - No new errors introduced.

<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 $cancel (which should call omx state clear --input '{"mode":"ultrawork"}' --json)
Two-track execution with acceptance criteria up front: ``` Acceptance criteria: - `npm run build` passes - `node --test dist/scripts/__tests__/codex-native-hook.test.js` passes - Manual QA: verify `$ultrawork` activation message still points to the session state file

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>
Repository
Yeachan-Heo/oh-my-codex
Last updated
First committed

Is this your skill?

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.