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.