parallel-agents

Orchestrates multiple specialized AI agents for coordinated analysis and task execution.

Updated Jan 8, 2026

Search Tags:#workflow #code analysis #security #multi-agent #agents #orchestration

Ready to run

npx skills add https://github.com/VoTruongDanh/AI_Cafe --skill parallel-agents-votruongdanh

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: parallel-agents
Source: https://github.com/VoTruongDanh/AI_Cafe/tree/main/ai-service/.agent/skills/parallel-agents
Command: npx skills add https://github.com/VoTruongDanh/AI_Cafe --skill parallel-agents-votruongdanh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines complex tasks by orchestrating multiple specialized AI agents, enabling them to work together on multifaceted problems that require diverse expertise or perspectives.

Core Features & Use Cases

Multi-Agent Coordination: Manages the execution of several agents in sequence or parallel.
Domain Expertise Integration: Leverages different agents for specific tasks like security auditing, backend development, or frontend analysis.
Comprehensive Analysis: Facilitates in-depth reviews by combining insights from multiple specialized agents.
Use Case: Analyze a codebase from security, performance, and quality perspectives simultaneously by invoking the security-auditor, performance-optimizer, and backend-specialist agents.

Quick Start

Use the parallel-agents skill to first explore the project structure with the explorer-agent, then have the security-auditor review authentication.

Frequently Asked Questions about parallel-agents

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

FAQPage Schema

How do I orchestrate multi-agent workflows for comprehensive code analysis?▼

Multi-agent workflow orchestration coordinates specialized AI agents like explorer-agent and security-auditor to execute complex code analysis tasks, passing context between them to synthesize consolidated recommendations.

What is the best way to run a security audit and feature review simultaneously?▼

Simultaneous security audits and feature reviews are achieved by chaining specialized agents like the security-auditor, passing context between them to synthesize multifaceted findings into consolidated recommendations.

Can I use multi-agent orchestration to analyze a codebase from security and performance perspectives?▼

Yes, multi-agent orchestration analyzes a codebase from security and performance perspectives by invoking agents like security-auditor and performance-optimizer, integrating their domain expertise for comprehensive insights.

How do I coordinate multiple AI agents to work in parallel on backend and frontend tasks?▼

Coordinating multiple AI agents in parallel manages their execution for backend and frontend tasks, leveraging domain expertise integration to handle diverse perspectives and multifaceted problems.

Do I need specific dependencies to chain agents for code analysis and security audits?▼

No specific dependencies are required to chain agents for code analysis and security audits; the workflow uses references to facilitate context passing and synthesis of findings across specialized agents.