---
name: ultrawork-6ce0e2a0caa1
description: Parallel execution engine for high-throughput task completion
level: 4
---

<Purpose>
Ultrawork is a parallel execution engine that runs multiple agents simultaneously for independent tasks. It is a component, not a standalone persistence mode -- it provides parallelism and smart model routing but not persistence, verification loops, or state management.
</Purpose>

<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>

<Steps>
1. **Read agent reference**: Load `docs/shared/agent-tiers.md` for tier selection
2. **Classify tasks by independence**: Identify which tasks can run in parallel vs which have dependencies
3. **Route to correct tiers**:
   - Simple lookups/definitions: LOW tier (Haiku)
   - Standard implementation: MEDIUM tier (Sonnet)
   - Complex analysis/refactoring: HIGH tier (Opus)
4. **Fire independent tasks simultaneously**: Launch all parallel-safe tasks at once
5. **Run dependent tasks sequentially**: Wait for prerequisites before launching dependent work
6. **Background long operations**: Builds, installs, and test suites use `run_in_background: true`
7. **Verify when all tasks complete** (lightweight):
   - Build/typecheck passes
   - Affected tests pass
   - No new errors introduced
</Steps>

<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>

<Examples>
<Good>
Three independent tasks fired simultaneously:
```
Task(subagent_type="oh-my-claudecode:executor", model="haiku", prompt="Add missing type export for Config interface")
Task(subagent_type="oh-my-claudecode:executor", model="sonnet", prompt="Implement the /api/users endpoint with validation")
Task(subagent_type="oh-my-claudecode:executor", model="sonnet", prompt="Add integration tests for the auth middleware")
```
Why good: Independent tasks at appropriate tiers, all fired at once.
</Good>

<Good>
Correct use of background execution:
```
Task(subagent_type="oh-my-claudecode:executor", model="sonnet", prompt="npm install && npm run build", run_in_background=true)
Task(subagent_type="oh-my-claudecode:executor", model="haiku", prompt="Update the README with new API endpoints")
```
Why good: Long build runs in background while short task runs in foreground.
</Good>

<Bad>
Sequential execution of independent work:
```
result1 = Task(executor, "Add type export")  # wait...
result2 = Task(executor, "Implement endpoint")     # wait...
result3 = Task(executor, "Add tests")              # wait...
```
Why bad: These tasks are independent. Running them sequentially wastes time.
</Bad>

<Bad>
Wrong tier selection:
```
Task(subagent_type="oh-my-claudecode:executor", model="opus", prompt="Add a missing semicolon")
```
Why bad: Opus is expensive overkill for a trivial fix. Use executor with Haiku instead.
</Bad>
</Examples>

<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>

<Advanced>
## Relationship to Other Modes

```
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>


---
Source attribution: ClementATH
Original project: https://github.com/ClementATH/oh-my-claudecode/blob/fae376508355fb03ea6a2477453f37f0a59e707f/skills/ultrawork/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2025 Yeachan Heo

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: ClementATH
Original project: https://github.com/ClementATH/oh-my-claudecode/blob/fae376508355fb03ea6a2477453f37f0a59e707f/skills/ultrawork/SKILL.md
Attribution basis: Source repository record

Fields of work: Development & Engineering
Roles: Backend Developer, Data Engineer, ML / AI Engineer
Specialties: Backend
Tools: Oh My Claudecode
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 1f66585328c72d991b2fe3485f1606170fd3d76babf31cb1792d240beb76f1de