parallel-agents-pro

Coordinate parallel agent workflows with dependency-aware task dispatch and result aggregation.

Updated Jun 27, 2026

Search Tags:#parallel processing #agent workflows #failure handling #result aggregation #dependency coordination

Ready to run

npx skills add https://github.com/truongnat/aix --skill parallel-agents-pro

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: parallel-agents-pro
Source: https://github.com/truongnat/aix/tree/main/content/skills/parallel-agents-pro
Command: npx skills add https://github.com/truongnat/aix --skill parallel-agents-pro

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables the management and coordination of parallel agent workflows, optimizing performance and efficiency in tasks that require concurrent processing.

Core Features & Use Cases

Parallel Task Execution: Dispatch and manage multiple agents for independent tasks, improving throughput and response time.
Dependency Coordination: Handle complex task dependencies and ensure correct execution order.
Result Aggregation: Collect and aggregate results from parallel tasks, providing a comprehensive output.
Failure Handling: Implement robust strategies for handling agent failures and maintaining workflow integrity.
Use Case: For large-scale data processing, parallelizing tasks can significantly reduce overall time and resource usage.

Quick Start

Run the 'parallel-agents-pro' skill to coordinate a set of independent tasks, ensuring they execute in parallel with proper coordination and error handling.

Frequently Asked Questions about parallel-agents-pro

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

FAQPage Schema

How do I coordinate parallel agent workflows with complex task dependencies?▼

Parallel agent workflows are coordinated using dependency-aware task dispatch, ensuring correct execution order while dispatching independent tasks concurrently to improve throughput and response time.

How does failure handling work for parallel agents during task execution?▼

Failure handling for parallel agents involves implementing robust recovery strategies that maintain workflow integrity, allowing the system to detect agent failures and resume or reroute tasks without losing aggregated results.

What is the best way to aggregate results from multiple parallel tasks?▼

Result aggregation from parallel tasks is managed by collecting and combining outputs from concurrent agents, providing a comprehensive final result after all independent processing and dependency coordination are complete.

Do I need well-defined dependencies to use parallel processing for large-scale data?▼

Well-defined dependencies are required for parallel processing large-scale data, as robust error handling and explicit task coordination are necessary to reduce overall time and resource usage effectively.

Can I dispatch multiple independent agents for concurrent task execution?▼

Dispatching multiple independent agents for concurrent task execution is supported, managing them in parallel to optimize performance and efficiency while monitoring progress in real time.

When should I not use parallel agent workflows for task management?▼

Parallel agent workflows should not be used when tasks lack well-defined dependencies or robust error handling, as missing these prerequisites compromises workflow integrity during failure recovery.