parallel-agents

Orchestrate multiple AI agents to execute tasks in parallel.

3|1|Updated Feb 20, 2026

Search Tags:#code review #parallel processing #multi-agent #orchestration #coordination #agent collaboration

Ready to run

npx skills add https://github.com/Harmitx7/tribunal-kit --skill parallel-agents-harmitx7

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: parallel-agents
Source: https://github.com/Harmitx7/tribunal-kit/tree/main/.agent/skills/parallel-agents
Command: npx skills add https://github.com/Harmitx7/tribunal-kit --skill parallel-agents-harmitx7

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the challenge of coordinating multiple AI agents to work together efficiently on complex tasks, ensuring consistency and maximizing speed.

Core Features & Use Cases

Parallel Task Execution: Enables multiple agents to work on independent sub-tasks simultaneously.
Domain Specialization: Assigns different agents to handle specific areas of expertise within a larger project.
Tribunal Review: Facilitates parallel code review by multiple specialist agents (logic, security, types, performance).
Orchestration: Provides patterns for managing state, resolving conflicts, and verifying consistency between agent outputs.
Use Case: When building a new feature that requires backend API development, frontend UI implementation, and database schema design, use this Skill to have specialist agents work on each component concurrently, with an orchestrator ensuring they adhere to a shared contract.

Quick Start

Use the parallel-agents skill to orchestrate a backend specialist and a frontend specialist to build a user authentication module.

Frequently Asked Questions about parallel-agents

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

FAQPage Schema

How do I coordinate multiple AI agents to execute tasks in parallel?▼

Multi-agent parallel processing is orchestrated by assigning independent sub-tasks to specialist agents simultaneously, while an orchestrator manages state and verifies consistency between outputs to maximize execution speed.

What is the best way to facilitate parallel code review by multiple specialist agents?▼

Parallel code review is facilitated through a tribunal pattern, where specialist agents concurrently evaluate distinct areas like logic, security, types, and performance, synthesizing their findings into a robust output.

How does multi-agent orchestration manage state and resolve conflicts during task execution?▼

Multi-agent orchestration manages state and resolves conflicts by providing structured patterns that verify consistency between agent outputs, ensuring diverse expertise adheres to a shared contract during complex workflows.

Can I use parallel agents for domain specialization in complex software development workflows?▼

Yes, parallel agents support domain specialization by assigning different agents to handle specific areas of expertise within a larger project, such as having backend and frontend specialists build a user authentication module concurrently.

When do I need parallel processing patterns for AI agent collaboration?▼

Parallel processing patterns are needed when complex software development workflows require diverse expertise or multi-perspective review, ensuring efficient multi-agent collaboration and robust output synthesis for independent sub-tasks.