How do I install the Ultrawork skill?

Run npx skillmds@latest add tangchunwu/ultrawork in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Ultrawork skill do?

Parallel execution engine for high-throughput task completion It is listed under AI & ML on SkillMD.

Is Ultrawork safe to use?

SkillMD's automated safety review verdict for this skill is PASS. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Ultrawork?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Ultrawork free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Ultrawork?

tangchunwu (@tangchunwu) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Ultrawork by tangchunwu — Agent Skill

Name: Ultrawork
Rating: 4.2 (5 reviews)
Author: tangchunwu

File contents

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"))

ralph (persistence wrapper)
 \-- includes: ultrawork (this skill)
     \-- provides: parallel execution only

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

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

Ultrawork is the parallelism layer. Ralph adds persistence and verification. Autopilot adds the full lifecycle pipeline. Ecomode adjusts ultrawork's model routing to favor cheaper models.

---name: ultraworkdescription: Parallel execution engine for high-throughput task completion---<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 selection2. **Classify tasks by independence**: Identify which tasks can run in parallel vs which have dependencies3. **Route to correct tiers**: - Simple lookups/definitions: LOW tier - Standard implementation: STANDARD tier - Complex analysis/refactoring: THOROUGH tier4. **Fire independent tasks simultaneously**: Launch all parallel-safe tasks at once5. **Run dependent tasks sequentially**: Wait for prerequisites before launching dependent work6. **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 LOW-tier delegation for simple changes- Use STANDARD-tier delegation for standard work- Use THOROUGH-tier delegation 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>## State ManagementUse `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")`)<Examples><Good>Three independent tasks fired simultaneously:```delegate(role="executor", tier="LOW", task="Add missing type export for Config interface")delegate(role="executor", tier="STANDARD", task="Implement the /api/users endpoint with validation")delegate(role="test-engineer", tier="STANDARD", task="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:```delegate(role="executor", tier="STANDARD", task="npm install && npm run build", run_in_background=true)delegate(role="writer", tier="LOW", task="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 = delegate(executor, LOW, "Add type export") # wait...result2 = delegate(executor, STANDARD, "Implement endpoint") # wait...result3 = delegate(test-engineer, STANDARD, "Add tests") # wait...```Why bad: These tasks are independent. Running them sequentially wastes time.</Bad><Bad>Wrong tier selection:```delegate(role="executor", tier="THOROUGH", task="Add a missing semicolon")```Why bad: THOROUGH tier is expensive overkill for a trivial fix. Use LOW-tier execution 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 onlyautopilot (autonomous execution) \-- includes: ralph \-- includes: ultrawork (this skill)ecomode (token efficiency) \-- modifies: ultrawork's model selection```Ultrawork is the parallelism layer. Ralph adds persistence and verification. Autopilot adds the full lifecycle pipeline. Ecomode adjusts ultrawork's model routing to favor cheaper models.</Advanced>

Frequently asked questions

Ultrawork