parallel-agents

Orchestrate multiple specialized agents for parallel multi-domain analysis.

Updated Jan 6, 2026
One-click install
npx skills add https://github.com/marablemarcel/Living-Lytics --skill parallel-agents-marablemarcel
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: parallel-agents
Source: https://github.com/marablemarcel/Living-Lytics/tree/main/living-lytics/.agent/skills/parallel-agents
Command: npx skills add https://github.com/marablemarcel/Living-Lytics --skill parallel-agents-marablemarcel

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrating multiple specialized agents to deliver multi-domain analysis across complex tasks, reducing handoffs and speeding insights by leveraging diverse expertise in parallel.

Core Features & Use Cases

  • In-session orchestration of multiple agents (discovery, analysis, synthesis) within a single workflow
  • Context sharing and cross-domain synthesis to produce unified recommendations
  • Flexible patterns such as Comprehensive Analysis, Feature Review, and Security Audit to match project needs

Quick Start

Start by mapping the project structure with the explorer-agent, then invoke domain-specific agents, and finish with a synthesis to produce a unified report.

Frequently Asked Questions about parallel-agents

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

FAQPage Schema
What is multi-agent orchestration for complex task analysis?

Multi-agent orchestration coordinates specialized agents to perform parallel, multi-domain analysis across complex tasks, reducing handoffs and synthesizing diverse expertise into unified recommendations.

How do I coordinate multiple AI agents for a security audit?

To coordinate agents for a security audit, map the project structure with an explorer-agent, invoke domain-specific agents for parallel analysis, and finish with a synthesis step to produce a unified report.

Can I run parallel agent workflows within a single dialogue session?

Yes, in-session orchestration supports agent coordination, context passing, and cross-domain synthesis within a single dialogue-enabled workflow, allowing multiple agents to progress in parallel.

Does multi-agent orchestration require external dependencies or scripts?

No external dependencies are required, though the workflow supports optional scripts, references, and assets directories to supplement the in-session agent coordination and analysis.

When should I use parallel agents instead of a single AI agent?

Use parallel agents for tasks requiring diverse domain expertise simultaneously, such as architecture reviews or cross-functional feature evaluations, where a single agent lacks the necessary breadth.