parallel-agents

Coordinate multiple specialized agents to produce a unified analysis report.

Updated Dec 22, 2025
One-click install
npx skills add https://github.com/alaminmain/DoorAuthServer --skill parallel-agents-alaminmain
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: parallel-agents
Source: https://github.com/alaminmain/DoorAuthServer/tree/main/.agent/skills/parallel-agents
Command: npx skills add https://github.com/alaminmain/DoorAuthServer --skill parallel-agents-alaminmain

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill orchestrates multiple domain-specific agents to tackle complex analyses in a single coordinated workflow, reducing manual coordination and enabling richer insights.

Core Features & Use Cases

  • Orchestration patterns: Single Agent, Sequential Chain, With Context Passing, Resume Previous Work.
  • Cross-domain analysis: security-auditor, backend-specialist, frontend-specialist collaborate to produce unified findings.
  • Synthesis and delivery: consolidates insights into a single report and actionable recommendations.

Quick Start

To begin, initiate the orchestrator with the available agents (e.g., security-auditor, backend-specialist, frontend-specialist), map project structure, run analyses in parallel where possible, and synthesize results 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 multiple agents for a cross-functional security and architecture review?

To coordinate multiple agents for a cross-functional review, you initiate an orchestrator to map the project structure, run specialized agents like security-auditor and backend-specialist in parallel, and synthesize their findings into a unified report.

What is the best way to run integrated backend, frontend, and data layer analyses in a single session?

The best way to run integrated backend, frontend, and data layer analyses is using an orchestration pattern that supports parallel invocation and context sharing, consolidating insights from each domain specialist into one synthesized output.

Does multi-agent orchestration support context passing between sequential analysis steps?

Yes, multi-agent orchestration supports sequential chains with context passing, allowing one agent to resume previous work or share its specific domain findings directly with the next specialist in the workflow.

Can I use a single agent for a security audit instead of orchestrating multiple agents?

Yes, you can use a single agent configuration for a security audit, but orchestrating multiple specialized agents enables cross-domain analysis and richer insights by consolidating findings from security, backend, and frontend perspectives into unified recommendations.

When should I avoid parallel agent invocation for architectural assessments?

You should avoid parallel agent invocation when an architectural assessment requires strict dependency between analysis steps, opting instead for sequential chains with context passing to ensure downstream agents build directly upon prior domain findings.