ultrawork

Dispatch independent tasks to multiple agents in parallel.

1|Updated Apr 1, 2026
One-click install
npx skills add https://github.com/OliverOuyang/shuhe-work-skills --skill ultrawork-oliverouyang
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ultrawork
Source: https://github.com/OliverOuyang/shuhe-work-skills/tree/main/skills/ultrawork
Command: npx skills add https://github.com/OliverOuyang/shuhe-work-skills --skill ultrawork-oliverouyang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ultrawork enables parallel execution of multiple tasks by coordinating several agents concurrently, drastically reducing total time for independent workloads.

Core Features & Use Cases

  • Concurrent task delegation to multiple models based on capability and workload
  • Smart routing to optimize cost-efficiency and throughput
  • Use Case: accelerate data processing pipelines by running independent steps in parallel

Quick Start

Run ultrawork to dispatch your set of independent tasks and let it orchestrate parallel execution

Frequently Asked Questions about ultrawork

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is parallel task execution with smart routing for AI agents?

Parallel task execution dispatches independent tasks to multiple AI agents concurrently to reduce total completion time. Smart routing optimizes cost-efficiency by directing workloads across different model tiers based on capability and current demand.

How do I run independent tasks concurrently to reduce agent execution time?

To run independent tasks concurrently, dispatch your set of workloads to the execution orchestrator. It applies an explicit execution policy to coordinate parallel agents, while you maintain control over the final results.

Can I use parallel execution for workloads with dependencies?

Parallel execution applies only to workloads with no dependencies. If tasks require sequential data from one another, concurrent execution across different model tiers is not supported.

Does smart routing optimize cost-efficiency across different model tiers?

Smart routing optimizes cost-efficiency and throughput by delegating concurrent tasks to multiple models based on capability. It routes workloads across different model tiers while applying lightweight verification for quick success signals.

How are long running background tasks handled during parallel execution?

Long running tasks are handled using background processing during parallel execution. The system continues orchestrating concurrent agents while applying lightweight verification to monitor quick success signals for background tasks.

What is the best way to accelerate data processing pipelines with AI agents?

The best way to accelerate data processing pipelines is running independent steps in parallel. Dispatching independent tasks to multiple agents concurrently drastically reduces total time compared to sequential execution.