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swarm

Orchestrates parallel subagents for complex, multi-step workflows with independent validation and synthesis.

Updated Aug 23, 2026
Search Tags:#workflow#validation#orchestration#swarm#session-management#ai-assistant#parallelism
One-click install
npx skills add https://github.com/trader-RM/ultra-swarm --skill swarm-trader-rm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: swarm
Source: https://github.com/trader-RM/ultra-swarm/tree/main/base/opencode-swarm/.claude/skills/swarm
Command: npx skills add https://github.com/trader-RM/ultra-swarm --skill swarm-trader-rm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Swarm mode orchestrates multiple subagents to improve the quality, speed, and reliability of complex tasks by distributing exploration, validation, and synthesis.

Core Features & Use Cases

  • Parallel subagent orchestration for breadth and validation.
  • Independent reviewer and critic ladders to strengthen accuracy.
  • Session-scoped swarm mode management to handle long-running tasks.

Quick Start

Provide a task to execute immediately after enabling swarm mode.

Frequently Asked Questions about swarm

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

FAQPage Schema
How do I orchestrate parallel subagents for complex multi-step workflows?▼

To orchestrate parallel subagents, you can enable swarm mode to distribute exploration, validation, and synthesis across multiple independent AI assistants. This approach improves task quality and speed by applying risk-aware synthesis to complex software and documentation workflows.

What is swarm mode orchestration and when should I use it for task validation?▼

Swarm mode orchestration is a process that coordinates multiple subagents to independently explore and validate outputs. You should use this technique for complex, multi-step workflows that require broad exploration and independent reviewer ladders to strengthen accuracy.

How do I manage session state for long-running parallel AI assistant workflows?▼

You can manage long-running tasks by utilizing session-scoped swarm mode management to preserve state. This feature defines behavior for maintaining context across distributed subagents, ensuring reliable execution throughout extended task durations.

Does parallel subagent orchestration work for multi-step software and documentation tasks?▼

Yes, parallel subagent orchestration applies directly to complex multi-step workflows across both software engineering and documentation. It utilizes independent critic ladders and risk-aware synthesis to strengthen accuracy and reliability in these domains.

What is the best way to execute a task immediately after enabling swarm mode?▼

The best way to execute a task is to provide the specific task instructions immediately after enabling swarm mode. This triggers the swarm-like implementation workflow, distributing the workload across parallel subagents for fast, high-quality tasking.

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