parallel-agents

Coordinate multi-agent orchestration for complex analyses with centralized synthesis.

Updated Jan 12, 2026

Search Tags:#workflow #ai #multi-agent #agents #orchestration #parallel #synthesis

Ready to run

npx skills add https://github.com/BenWork17/VeXeViet --skill parallel-agents-benwork17

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: parallel-agents
Source: https://github.com/BenWork17/VeXeViet/tree/main/.agent/skills/parallel-agents
Command: npx skills add https://github.com/BenWork17/VeXeViet --skill parallel-agents-benwork17

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrating multiple specialized AI agents across domains can be complex and error-prone without a centralized workflow. This skill provides structured multi-agent coordination to streamline analyses and synthesis.

Core Features & Use Cases

Orchestration Patterns: Pattern-based agent coordination (comprehensive analysis, feature review, security audit) with context sharing between agents.
Synthesis & Reporting: Centralized synthesis report combining outputs from all agents.
Resume & Reuse: Continuation from previous agent work and resume support for long-running workflows.

Quick Start

Initiate a comprehensive multi-agent orchestration to map the project structure, assign domain-specific agents, and synthesize findings into a unified report.

Frequently Asked Questions about parallel-agents

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

FAQPage Schema

How do I coordinate multi-agent orchestration for complex code analysis?▼

Multi-agent orchestration coordinates specialized AI agents to perform complex analyses across diverse domains, including code analysis and architecture reviews. It uses pattern-based coordination with context sharing to map project structures and synthesize findings into a unified report.

What is multi-agent orchestration and when do I need it for architecture reviews?▼

Multi-agent orchestration is a centralized workflow that coordinates specialized AI agents across different domains. You need it when performing complex analyses like architecture reviews or security audits, where structured coordination and context sharing between agents streamline the process and reduce errors.

Can I use parallel agents to run security audits across frontend and backend layers?▼

Yes, parallel agents support security assessments and comprehensive analyses across frontend, backend, and data layers. The orchestration assigns domain-specific agents to each layer and integrates their findings through centralized synthesis reporting.

How do I resume a long-running multi-agent workflow if it gets interrupted?▼

Long-running multi-agent workflows support continuation from previous agent work through resume-enabled patterns. This allows you to resume interrupted processes and build upon existing context without restarting the entire orchestration and analysis pipeline.

Does multi-agent orchestration provide a unified report from separate domain analyses?▼

Yes, multi-agent orchestration features centralized synthesis reporting that combines outputs from all assigned domain-specific agents. It generates a unified report that integrates findings from code analysis, architecture reviews, and security assessments into a single document.

What are the limitations of using pattern-based agent coordination for project analysis?▼

Pattern-based agent coordination relies on predefined patterns like comprehensive analysis, feature review, and security audit. It requires mapping the project structure first and depends on centralized synthesis, meaning workflows outside these specific patterns may not be fully supported.