subagent-orchestration

Coordinate multiple agents across parallel, hierarchical, loop, or swarm topologies.

Updated Apr 16, 2026
One-click install
npx skills add https://github.com/seshxn/ai-swarm --skill subagent-orchestration-seshxn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: subagent-orchestration
Source: https://github.com/seshxn/ai-swarm/tree/main/skills/subagent-orchestration
Command: npx skills add https://github.com/seshxn/ai-swarm --skill subagent-orchestration-seshxn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Subagent Orchestration prevents duplicated work, ownership confusion, and lost evidence when coordinating multiple agents or subagents across complex topologies.

Core Features & Use Cases

  • Define topology and bounded agent ownership to coordinate parallel, hierarchical, or swarm workflows.
  • Provide bounded write scopes, an aggregation plan, and a verification path to ensure traceability and accountability.
  • Support failure routing and evidence-preserving outputs through structured handoffs.

Quick Start

Define topology, assign bounded agent ownership, and establish an aggregation plan before workers start.

Frequently Asked Questions about subagent-orchestration

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

FAQPage Schema
How do I coordinate multiple agents to prevent duplicated work in parallel workflows?

To coordinate multiple agents without duplicated work, define a specific topology, assign bounded write scopes to each worker, and establish an aggregation plan before execution begins to ensure strict ownership.

What is the best way to manage hierarchical agent handoffs without losing evidence?

Managing hierarchical agent handoffs requires structured routing with bounded assignments and a dedicated verification path, ensuring that outputs and evidence are preserved and traceable across all delegated tasks.

How do I set up swarm topology agent coordination for complex tasks?

Swarm topology agent coordination requires defining bounded agent ownership, establishing non-conflicting write scopes, and configuring an aggregation plan to successfully merge multiple parallel outputs into a unified result.

Can I use multi-agent orchestration to route failures while preserving outputs?

Yes, multi-agent orchestration supports failure routing and evidence-preserving outputs through structured handoffs, ensuring that failed worker tasks do not corrupt the overall workflow or lose intermediate evidence.

When do I need bounded write scopes for multi-agent workflows?

You need bounded write scopes in multi-agent workflows whenever multiple agents execute concurrently to prevent ownership confusion, avoid conflicting writes, and maintain clear accountability for aggregated outputs.

Does subagent orchestration work with loop topologies as well as parallel ones?

Yes, subagent orchestration supports loop topologies alongside parallel, hierarchical, and swarm structures, applying bounded assignments and verification plans to coordinate iterative agent handoffs effectively.