
Ultrawork
- 646 installs
- 38.3k repo stars
- Updated August 4, 2026
- yeachan-heo/oh-my-claudecode
ultrawork is an agent skill that orchestrates parallel independent AI agents with dependency-aware task graphs for developers who need high-throughput completion of multi-part work items.
About
ultrawork is a level-4 parallel execution engine from oh-my-claudecode that routes independent work across multiple agents for faster throughput. The protocol emphasizes intent grounding, parallel context gathering, dependency-aware task graphs for non-trivial jobs, and concise evidence-backed execution summaries. ultrawork is a component, not a standalone persistence mode: it supplies parallelism and routing guidance without long-lived state, verification loops, or persistence management. Developers invoke ultrawork when several independent tasks can run simultaneously, often triggered by shortcuts like ulw or ultrawork in the prompt. Reach for it when wall-clock time dominates and tasks have clear independence boundaries.
- Parallel execution engine for independent work items
- Generates dependency-aware task graphs with intent grounding
- Provides concise evidence-backed execution summaries
- Routes work to multiple agents simultaneously
- Component skill included in ralph and autopilot workflows
Ultrawork by the numbers
- 646 all-time installs (skills.sh)
- +8 installs in the week ending Jul 27, 2026 (Skillselion tracking)
- Ranked #1,515 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Security screen: LOW risk (skills.sh audit)
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 646 |
|---|---|
| repo stars | ★ 38.3k |
| Security audit | 3 / 3 scanners passed |
| Last updated | August 4, 2026 |
| Repository | yeachan-heo/oh-my-claudecode ↗ |
How do you run parallel AI agents on independent tasks?
Orchestrate multiple independent AI agents running in parallel for faster task completion.
Who is it for?
Developers facing multi-part tasks with clear independence who need parallel agent throughput instead of serial single-agent execution.
Skip if: Single-file edits, tightly coupled sequential work, or sessions requiring built-in persistence, verification loops, or long-lived agent state.
When should I use this skill?
The user says ultrawork, ulw, or describes multiple independent tasks that can run in parallel with a task graph.
What you get
Dependency-aware task graph, parallel agent execution summaries, and evidence-backed completion reports for independent work items.
- Dependency-aware task graph
- Parallel execution summaries
By the numbers
- Documented as level-4 skill in oh-my-claudecode
Files
<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
ralphinstead (ralph includes ultrawork) - Task requires a full autonomous pipeline -- use
autopilotinstead (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
ralphwhich 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
modelparameter explicitly when delegating - Read
docs/shared/agent-tiers.mdbefore first delegation for agent selection guidance - Use
run_in_background: truefor 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: truefor 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
ralphmode - 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-workspacemarker at the parent directory so multiple sessions across sub-repos share one.omc/. Resolution order:OMC_STATE_DIR > .omc-workspace > git > cwd. Seedocs/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>
Related skills
How it compares
Pick ultrawork for parallel independent agent throughput; pick executing-plans when a single plan needs serial batched implementation with human review gates.
FAQ
What does ultrawork optimize for?
ultrawork optimizes throughput for independent work items by running parallel context gathering and agent execution with dependency-aware task graphs. ultrawork returns concise evidence-backed summaries rather than managing long-lived persistence or verification loops.
Is ultrawork a standalone agent mode?
ultrawork is a parallel execution component, not a standalone persistence mode. ultrawork supplies parallelism and routing guidance but does not provide persistence, verification loops, or long-lived state management on its own.
Is Ultrawork safe to install?
skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.