parallel-agents

Orchestrate multiple specialized agents for repository analysis and implementation guidance.

Updated Feb 2, 2026
One-click install
npx skills add https://github.com/nishchaydev/emitra --skill parallel-agents-nishchaydev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: parallel-agents
Source: https://github.com/nishchaydev/emitra/tree/main/.agent/skills/parallel-agents
Command: npx skills add https://github.com/nishchaydev/emitra --skill parallel-agents-nishchaydev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the challenge of producing comprehensive, multi-perspective analysis and implementations by coordinating several domain-focused agents within one workflow instead of relying on a single agent viewpoint.

Core Features & Use Cases

  • Multi-agent orchestration: Runs discovery, domain analysis, testing, and synthesis as a coordinated pipeline with context passing to reduce missed details.
  • Reusable orchestration patterns: Supports structured flows like comprehensive analysis, feature review, and security audit to match different work types.
  • Resume and synthesis: Enables resuming prior agent runs and returns a single unified orchestration report with prioritized recommendations and action items.

Quick Start

Ask the AI to perform a comprehensive multi-perspective review of your repository focusing on security, backend quality, frontend/UI patterns, and test coverage.

Frequently Asked Questions about parallel-agents

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

FAQPage Schema
How do I perform a comprehensive code review across security, backend, frontend, and test coverage simultaneously?

A comprehensive multi-perspective code review is performed by orchestrating multiple specialized agents that analyze security, backend, frontend, and testing scopes, passing context between them to produce a single synthesis report with prioritized action items.

What is multi-agent orchestration for repository analysis and how does it work?

Multi-agent orchestration for repository analysis coordinates domain-focused agents in a pipeline, passing context from discovery through domain analysis and testing to a final synthesis, reducing missed details compared to a single agent viewpoint.

Can I run a structured security audit workflow using multiple specialized agents?

Yes, you can run a structured security audit workflow by selecting a reusable orchestration pattern that coordinates specialized agents to assess security scopes, returning a unified report with prioritized recommendations.

How do I resume a prior multi-agent repository analysis run?

You can resume prior agent runs by utilizing the orchestration pattern's resume functionality, which restores the multi-agent pipeline state to continue generating the final unified synthesis report with action items.

What is the best way to audit a new feature across affected backend and frontend domains?

The best way to audit a feature across affected domains is using a feature review orchestration pattern, which coordinates specialized agents to analyze backend and frontend scopes and synthesizes prioritized guidance.

When should I not use multi-agent orchestration for codebase reviews?

You should avoid multi-agent orchestration for codebase reviews when a single-perspective analysis is sufficient, as the coordinated pipeline is designed for comprehensive, multi-domain audits requiring structured synthesis and prioritized action items.