task-processor-parallel

Orchestrate independent tasks in parallel with asynchronous subagents.

Updated Feb 8, 2026
One-click install
npx skills add https://github.com/dundas/uhr --skill task-processor-parallel
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: task-processor-parallel
Source: https://github.com/dundas/uhr/tree/main/.claude/skills/task-processor-parallel
Command: npx skills add https://github.com/dundas/uhr --skill task-processor-parallel

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill dramatically reduces the time required to complete complex projects by enabling the parallel execution of independent tasks and phases using asynchronous subagents.

Core Features & Use Cases

  • Parallel Execution: Run multiple tasks or project phases simultaneously.
  • Async Subagents: Leverages background subagents that don't block the orchestrator.
  • Automated Workflow: Manages dependencies, spawns subagents, monitors progress, and collects results.
  • Use Case: Accelerate software development by running independent feature development phases in parallel, significantly cutting down the overall project timeline.

Quick Start

Initiate the parallel task processor skill to begin processing tasks based on identified dependencies.

Frequently Asked Questions about task-processor-parallel

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

FAQPage Schema
How do I run independent development tasks in parallel to speed up project delivery?

You can run independent development tasks in parallel using asynchronous subagents. This orchestrates multiple tasks simultaneously, managing dependencies and collecting results to significantly reduce overall project completion time.

What is asynchronous subagent orchestration for workflow automation?

Asynchronous subagent orchestration is a mechanism that spawns background subagents which do not block the main orchestrator. It monitors their progress and collects results, enabling massively parallel task processing for complex project workflows.

Do I need GitHub CLI to automate parallel task processing?

Yes, you need GitHub CLI installed alongside Claude Code v2.0.60+ to achieve full workflow automation. These dependencies are required to manage task dependencies, spawn subagents, and collect results automatically.

What's the best way to manage task dependencies when executing parallel project phases?

The best way to manage task dependencies during parallel execution is using an automated workflow that identifies dependencies, spawns non-blocking background subagents, monitors their progress, and aggregates the collected results.

When should I avoid using parallel processing for software development tasks?

You should avoid parallel processing for tasks that are not independent. If project phases have strict sequential dependencies or require blocking synchronous execution, spawning parallel subagents will not provide speedup benefits.