ultrawork

Execute multiple independent agent tasks in parallel with model tier routing.

Updated Aug 23, 2026

Search Tags:#concurrency #agent #execution #throughput #model routing #parallelism

Ready to run

npx skills add https://github.com/mrsono0/lectures --skill ultrawork-mrsono0

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ultrawork
Source: https://github.com/mrsono0/lectures/tree/main/.claude/skills/ultrawork
Command: npx skills add https://github.com/mrsono0/lectures --skill ultrawork-mrsono0

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the inefficiency of sequential task execution when multiple tasks are independent, significantly reducing overall execution time.

Core Features & Use Cases

Parallel Task Execution: Runs multiple agents simultaneously for independent tasks.
Smart Model Routing: Delegates tasks to the most cost-effective and performant model tier.
Use Case: When you need to perform several unrelated code refactoring tasks, this Skill can execute them all at once, rather than one after another.

Quick Start

Use ultrawork to run three independent code generation tasks in parallel.

Frequently Asked Questions about ultrawork

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

FAQPage Schema

How do I run multiple independent agent tasks in parallel?▼

Parallel task execution works by simultaneously running multiple independent agent operations to maximize throughput. This approach significantly reduces overall execution time by avoiding the inefficiency of sequential task processing for unrelated code refactoring.

How does model routing optimize task execution costs?▼

Model routing optimizes task execution costs by delegating operations to appropriate model tiers based on complexity. Tasks are routed to LOW, MEDIUM, or HIGH model tiers dynamically, ensuring the most cost-effective and performant resource utilization for each operation.

Can I execute long-running builds and tests in the background?▼

Yes, you can execute long-running builds and tests in the background. The parallel execution engine supports background execution for long-running operations, allowing other independent agent tasks to continue processing simultaneously without blocking throughput.

When should I use parallel execution instead of sequential task processing?▼

You should use parallel execution instead of sequential task processing when you have multiple independent tasks, such as unrelated code refactoring operations. Parallelism maximizes throughput and minimizes latency by executing them simultaneously rather than one after another.

What are the limitations of routing tasks to different model tiers?▼

The limitation of routing tasks to different model tiers is that routing effectiveness depends entirely on accurate complexity assessment. If task complexity is misjudged, operations may be delegated to inappropriate LOW, MEDIUM, or HIGH tiers, compromising cost-efficiency or performance.