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Ultrawork Execution Engine

orchestrationparallelismmulti-agentautomationclaudecode
4.6 (119)36.5k📄 MIT🕒 2026-06-16Source ↗

Install this skill

npx skills add Yeachan-Heo/oh-my-claudecode

Works across Claude Code, Cursor, Codex, Copilot & Antigravity

What this skill does

  • Orchestrates concurrent execution for independent coding sub-tasks
  • Maps tasks to appropriate model tiers based on complexity
  • Supports background execution for long-running operations like builds
  • Enables dependency-aware task graph planning
  • Provides concise, structured summaries of delegated results

When to use it

  • When you have multiple independent tasks ready for simultaneous execution
  • To trigger concurrent agent calls for large-scale refactoring or feature implementation
  • When you need to perform quick file lookups alongside heavy background build tasks
  • To reduce total project completion time by optimizing agent routing

When not to use it

  • If your workflow requires long-lived state persistence or resume capabilities
  • For tasks requiring guaranteed end-to-end verification loops
  • When managing a purely sequential, single-threaded development task

How to invoke it

Example prompts that trigger this skill:

  • Run ultrawork to parallelize these three refactor tasks
  • ulw: execute dependency graph for the new auth module
  • Trigger parallel execution for independent unit test suites
  • Fire off multiple agents using ultrawork for this feature set
  • Use ultrawork to run background builds while scanning files

Example workflow

  1. Analyze project intent and identify independent versus sequential task chains
  2. Consult agent-tiers.md to select the optimal model for each sub-task
  3. Define a dependency-aware plan separating parallel waves from sequential steps
  4. Initiate non-blocking background tasks like installations or builds
  5. Execute concurrent sub-agent calls using specific model tiers
  6. Review task summaries and perform manual QA on the generated output

Prerequisites

  • oh-my-claudecode installed
  • Valid API credentials for Claude models
  • Read access to docs/shared/agent-tiers.md

Pitfalls & limitations

  • !Failure to explicitly define model tiers can lead to inefficient token spending
  • !Omitting the background flag for long tasks will block the main session
  • !Ultrawork provides no built-in persistence; session restarts require manual state management

FAQ

How is Ultrawork different from Autopilot?
Ultrawork is a component providing parallel execution logic, whereas Autopilot is a full autonomous pipeline that layers persistence and verification on top of it.
Do I need to manage my own state when using Ultrawork?
Yes. Ultrawork does not handle long-lived state or session persistence; it is designed for atomic, parallel task execution.
Which model should I use for simple tasks?
For quick lookups or simple changes, the Haiku tier is the recommended selection to optimize speed and cost.

How it compares

Unlike manual sequential execution, Ultrawork forces concurrent processing of independent tasks and strict model routing, which prevents token waste and dramatically shortens feedback cycles.

Source & trust

37k stars📄 MIT🕒 Updated 2026-06-16🛡 reads-credentials

From the source: “<Purpose> Ultrawork is a parallel execution engine and execution protocol for independent work. It emphasizes intent grounding, parallel context gathering, dependency-aware task graphs for non-trivial work, and concise evidence-backed execution summaries. It is a component, not a standalone persiste…”

View the full SKILL.md source

<Purpose>
Ultrawork is a parallel execution engine and execution protocol for independent work. It emphasizes intent grounding, parallel context gathering, dependency-aware task graphs for non-trivial work, and concise evidence-backed execution summaries. It is a component, not a standalone persistence mode -- it provides parallelism and routing guidance, but not persistence, verification loops, or long-lived 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
- Resolve intent and uncertainty before implementation; explore first, ask only when still blocked
- For non-trivial tasks, produce a dependency-aware plan with parallel waves before execution
- Keep delegated-task reports concise: short summary, files touched, verification status, blockers
- Manual QA is required for implemented behavior, not just diagnostics
</Execution_Policy>

<Steps>
1. **Read agent reference**: Load `docs/shared/agent-tiers.md` for tier selection
2. **Ground intent first**: Confirm whether the request is implementation, investigation, evaluation, or research; do not code before that is clear
3. **Gather context in parallel**:
   - direct tools for quick reads/searches
   - exploration/docs agents for broad context
4. **Classify tasks by independence**: Identify which tasks can run in parallel vs which have dependencies
5. **Create a task graph for non-trivial work**:
   - Parallel Execution Waves
   - Dependency Matrix
   - acceptance criteria and verification steps per task
6. **Route to correct tiers**:
   - Simple lookups/definitions: LOW tier (Haiku)
   - Standard implementation: MEDIUM tier (Sonnet)
   - Complex analysis/refactoring: HIGH tier (Opus)
7. **Fire independent tasks simultaneously**: Launch all parallel-safe tasks at once
8. **Run dependent tasks sequentially**: Wait for prerequisites before launching dependent work
9. **Background long operations**: Builds, installs, and test suites use `run_in_background: true`
10. **Verify when all tasks complete** (lightweight):
   - Build/typecheck passes
   - Affected tests pass
   - Manual QA completed for implemented behavior
   - 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>

## Parallel session caveats

- **Multi-repo workspace anchor:** drop a `.omc-workspace` marker at the parent directory so multiple sessions across sub-repos share one `.omc/`. Resolution order: `OMC_STATE_DIR > .omc-workspace > git > cwd`. See `docs/REFERENCE.md`.
- **Session id source:** OMC_SESSION_ID env var wins in CLI contexts; hook payload data.session_id wins in hook contexts.
- **Plan id (when applicable):** Ultrawork has no persistent state; two concurrent runs are independent by design. No plan-id needed.
- **Parallel verdict:** supported (stateless component)

<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>

Quoted from Yeachan-Heo/oh-my-claudecode for reference — see the original for the authoritative, latest version.

📄 Full skill instructions — original source: Yeachan-Heo/oh-my-claudecode
Ultrawork serves as a parallel execution engine for managing independent coding tasks within the oh-my-claudecode ecosystem. It allows developers to fire multiple agent calls simultaneously, significantly reducing idle time during multi-stage projects. By decoupling independent work streams and applying specific model tiers based on task complexity, it balances token costs against execution speed. It functions as a foundational building block for higher-level agents like Ralph and Autopilot, focusing specifically on routing and concurrent scheduling rather than persistence or long-running verification loops. This approach allows for rapid context gathering and task completion by bypassing the limitations of sequential command processing, making it an essential choice for developers managing non-trivial, multi-faceted engineering efforts that require efficient orchestration across different model capabilities.

How to Use This Skill Unit

Option A: Project-Specific (Recommended)

  1. Click "Download" above
  2. In your project, create the directory: .agent/skills/ultrawork/
  3. Save the file as SKILL.md
  4. The agent will automatically discover the skill based on its description.

Option B: Global Installation (All Agents)

Save the file to these locations to make it available across all projects:

  • Claude Code: ~/.claude/skills/Yeachan-Heo/oh-my-claudecode/ultrawork/SKILL.md
  • Cursor: ~/.cursor/skills/Yeachan-Heo/oh-my-claudecode/ultrawork/SKILL.md
  • Antigravity: ~/.gemini/antigravity/skills/Yeachan-Heo/oh-my-claudecode/ultrawork/SKILL.md

🚀 Install with CLI:
npx skills add Yeachan-Heo/oh-my-claudecode

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How to use this Skill in Claude Code & Cursor

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To use this skill in Claude Code, copy the rule content into your project's custom instructions or follow our Add-Skill CLI guide. This ensures Claude follows your standards during every code generation.

For Cursor & Windsurf

For Cursor or Windsurf, individual skills are best used in the "Rules for AI" section. This specific unit helps the agent avoid workflow & productivity issues, leading to cleaner, more efficient code.

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Source & attribution

This skill is categorized under Workflow & Productivity and is published by Yeachan-Heo, maintained in Yeachan-Heo/oh-my-claudecode.

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