agent-swarm

Orchestrate multiple AI agents for parallel or hierarchical task execution.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/OliverOuyang/claude-skills --skill agent-swarm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-swarm
Source: https://github.com/OliverOuyang/claude-skills/tree/main/agent-swarm
Command: npx skills add https://github.com/OliverOuyang/claude-skills --skill agent-swarm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill tackles complex tasks by breaking them down and assigning specialized AI agents to work in parallel or hierarchically, significantly speeding up analysis and execution.

Core Features & Use Cases

  • Parallel Analysis: Multiple agents simultaneously review code, audit security, or analyze performance from different angles.
  • Hierarchical Execution: A master agent plans and delegates tasks to worker agents for development, bug fixing, or research.
  • Use Case: When reviewing a large pull request, Agent Swarm can assign separate agents for code quality, security vulnerabilities, and performance bottlenecks, delivering a comprehensive report much faster than a single agent.

Quick Start

Use the agent swarm skill to analyze the project code for quality, security, and performance.

Frequently Asked Questions about agent-swarm

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

FAQPage Schema
How does multi-agent parallel processing work for code analysis?

Multi-agent parallel processing deploys specialized AI agents to simultaneously review code, audit security, and analyze performance from different angles, delivering a comprehensive report much faster than a single agent.

How do I orchestrate multiple AI agents for hierarchical task execution?

Orchestrate multiple AI agents by using a master agent to plan and delegate complex tasks to worker agents, enabling hierarchical execution for development, bug fixing, or research.

Can I use multi-agent task orchestration to speed up large pull request reviews?

Multi-agent task orchestration speeds up large pull request reviews by assigning separate agents for code quality, security vulnerabilities, and performance bottlenecks to work in parallel.

What is the best way to optimize cost and speed when running multiple AI agents for data processing?

The best way to optimize cost and speed is by using dynamic model selection and caching during task execution, ensuring efficient resource management across the agents.

Does multi-agent orchestration support dynamic role generation for security auditing tasks?

Multi-agent orchestration supports security auditing through dynamic role generation, allowing specialized agents to independently assess vulnerabilities and analyze performance from distinct perspectives.

When should I avoid using parallel multi-agent systems for task execution?

Avoid using parallel multi-agent systems for simple, single-threaded tasks where the overhead of intelligent task decomposition and master agent planning outweighs the speed benefits of parallel execution.