ultrawork

Execute independent tasks concurrently across multiple agents with model routing.

Updated Apr 8, 2026
One-click install
npx skills add https://github.com/KYRIE66nb/codex-omx-public-config --skill ultrawork-kyrie66nb
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ultrawork
Source: https://github.com/KYRIE66nb/codex-omx-public-config/tree/main/home/.agents/skills/ultrawork
Command: npx skills add https://github.com/KYRIE66nb/codex-omx-public-config --skill ultrawork-kyrie66nb

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Solve slow throughput by enabling parallel agent execution across multiple independent tasks.

Core Features & Use Cases

  • Parallelism: Fire multiple agents concurrently for independent tasks.
  • Smart routing: Route tasks to appropriate model tiers to optimize cost and speed.
  • Composition: Works with ralph and autopilot to enable larger workflows.
  • Use Case: When you have several independent micro-tasks like data gathering, quick validations, or parallel code inspections, ultrawork orchestrates them in parallel and aggregates results.

Quick Start

Fire multiple independent tasks to agents in parallel and collect results.

Frequently Asked Questions about ultrawork

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

FAQPage Schema
How do I run parallel agent execution for multiple independent tasks?

Parallel agent execution orchestrates independent tasks concurrently, firing multiple agents at once for data gathering, quick validations, or batch automation to maximize throughput and aggregate results.

What is model routing in workflow orchestration and when do I need it?

Model routing in workflow orchestration assigns tasks to appropriate model tiers to optimize cost and speed. You need it when executing non-persistent parallel tasks that require explicit delegation across different processing capabilities.

How do I speed up slow throughput in batch automation workflows?

Speed up slow throughput in batch automation by delegating independent micro-tasks to multiple agents running concurrently. This parallel execution model handles background operations for long-running tasks and aggregates the final outputs.

Can I use parallel agents for background execution of long-running operations?

Yes, parallel agents support background execution for long-running operations. The orchestration satisfies execution policy for non-persistent tasks while using lightweight state management via omx MCP tools to track progress.

Does ultrawork work with other workflow orchestration tools to compose larger pipelines?

Yes, ultrawork composes larger workflows by working with ralph and autopilot. This composition enables you to chain parallel agent execution into broader automated pipelines for complex data processing.

When should I not use parallel agent orchestration for my tasks?

Avoid parallel agent orchestration for tasks with sequential dependencies. It is designed for independent micro-tasks like parallel code inspections or validations where concurrent execution improves throughput without state conflicts.