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parallel-agents

Orchestrate multiple specialized AI agents for complex analysis tasks.

1|Updated Feb 19, 2026
Search Tags:#code review#security audit#multi-agent#agents#orchestration#feature implementation
One-click install
npx skills add https://github.com/danilomartinelli/cursor-kit --skill parallel-agents-danilomartinelli
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parallel-agents
Source: https://github.com/danilomartinelli/cursor-kit/tree/main/skills/parallel-agents
Command: npx skills add https://github.com/danilomartinelli/cursor-kit --skill parallel-agents-danilomartinelli

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines complex tasks by enabling the coordinated execution of multiple specialized AI agents, ensuring comprehensive analysis and efficient task completion.

Core Features & Use Cases

  • Multi-Agent Coordination: Orchestrate agents for tasks requiring diverse expertise (e.g., security, backend, frontend).
  • Complex Analysis: Facilitates in-depth code reviews from multiple perspectives (security, performance, quality).
  • Use Case: When implementing a new feature, use this skill to have the backend-specialist handle API changes, the frontend-specialist update the UI, and the test-engineer create relevant tests, all coordinated within a single session.

Quick Start

Use the parallel-agents skill to have the security-auditor and backend-specialist review the current project.

Frequently Asked Questions about parallel-agents

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

FAQPage Schema
How do I orchestrate multiple AI agents for a code review?▼

Multi-agent orchestration for code review coordinates specialized AI agents to analyze code from security, performance, and quality perspectives simultaneously. This skill enables sequential chaining and context passing between agents to ensure comprehensive analysis within a single session.

Can I use multiple AI agents to implement a full-stack feature?▼

Yes, multi-agent coordination allows you to implement full-stack features by chaining specialized agents. You can assign a backend-specialist for API changes, a frontend-specialist for the UI, and a test-engineer for tests, all coordinated within a single session.

How does multi-agent orchestration handle context passing between agents?▼

Multi-agent orchestration handles context passing by supporting sequential chaining and resuming previous agent work. This allows the output of one specialized agent to be passed directly as context to the next agent in the chain for continuous analysis.

Do I need any external dependencies to run multi-agent orchestration?▼

No external dependencies are required to run multi-agent orchestration. The skill operates independently without relying on external libraries or components, allowing you to coordinate agents directly within your environment.

What is the best way to conduct a security audit using multiple agents?▼

The best way to conduct a security audit with multiple agents is to use a security-auditor agent alongside a backend-specialist. This multi-agent approach ensures comprehensive analysis by combining diverse domain expertise to review the current project.

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