tad-parallel

Orchestrate parallel execution of multi-component tasks via a parallel-coordinator sub-agent.

3|Updated Sep 27, 2025
One-click install
npx skills add https://github.com/Sheldon-92/TAD --skill tad-parallel
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tad-parallel
Source: https://github.com/Sheldon-92/TAD/tree/main/.agents/skills/tad-parallel
Command: npx skills add https://github.com/Sheldon-92/TAD --skill tad-parallel

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Initiates and coordinates parallel execution by invoking a parallel-coordinator for multi-component tasks, reducing hand-off delays and accelerating delivery.

Core Features & Use Cases

  • Immediate orchestration of parallel streams across frontend, backend, database, and APIs.
  • Launches the parallel-coordinator sub-agent via the Task tool and monitors progress.
  • Records time savings and effectiveness to inform future parallelization decisions.

Quick Start

Trigger the tad-parallel skill to immediately launch the parallel-coordinator for your multi-component task and begin parallel execution.

Frequently Asked Questions about tad-parallel

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

FAQPage Schema
How do I coordinate parallel execution for multi-component tasks across frontend and backend?

Parallel execution for multi-component tasks is orchestrated by decomposing work into parallel streams across frontend, backend, databases, and APIs. A parallel-coordinator sub-agent launches via the Task tool to manage structured execution and monitor progress.

What is the best way to decompose tasks into parallel streams for APIs and databases?

The best way to decompose tasks into parallel streams is using a parallel-coordinator that breaks down multi-component work across APIs and databases. It launches sub-agents to execute streams concurrently while monitoring progress and recording efficiency metrics.

Can I use parallel execution orchestration for a multi-component task with no dependencies?

Yes, you can use parallel execution orchestration for multi-component tasks with no dependencies. The Skill operates independently with no required dependencies, launching a parallel-coordinator to decompose and execute concurrent streams across your components.

How do I monitor progress and measure efficiency metrics for parallel workflow automation?

Monitor progress and measure efficiency metrics for parallel workflow automation by launching a parallel-coordinator that tracks concurrent execution streams. It records time savings and effectiveness data to inform future parallelization decisions for multi-component tasks.

When should I avoid using parallel execution for multi-component task coordination?

Avoid parallel execution for multi-component tasks that cannot be decomposed into independent parallel streams. If your frontend, backend, database, or API components require sequential hand-offs rather than concurrent processing, parallel coordination will not reduce delivery delays.