eoa-orchestration-patterns

Orchestrate multi-agent work with Fan-Out, Pipeline, Map-Reduce, and Supervisor-Worker patterns.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/Emasoft/emasoft-orchestrator-agent --skill eoa-orchestration-patterns
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: eoa-orchestration-patterns
Source: https://github.com/Emasoft/emasoft-orchestrator-agent/tree/main/skills/eoa-orchestration-patterns
Command: npx skills add https://github.com/Emasoft/emasoft-orchestrator-agent --skill eoa-orchestration-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires , and includes references (resource) components.

What problem does it solve?

This Skill helps orchestration leaders coordinate work across multiple developers and AI agents by providing proven patterns and governance for task decomposition, assignment, monitoring, and escalation.

Core Features & Use Cases

  • Fan-Out: spawn multiple agents to work on independent tasks in parallel
  • Pipeline: chain tasks in sequence when dependencies exist
  • Map-Reduce: distribute work across workers and aggregate results
  • Supervisor-Worker: central coordinator delegates to a lead supervisor and workers
  • Reference-driven guidance: consult reference docs to enforce governance and consistency

Quick Start

Read the SKILL.md to understand orchestration patterns. Review the references to study task decomposition, agent selection and verification guidance. Draft a simple delegation plan for a hypothetical multi-agent task using one of the core patterns and prepare a delegation note for an agent.

Frequently Asked Questions about eoa-orchestration-patterns

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

FAQPage Schema
What is multi-agent orchestration for task decomposition?▼

Multi-agent orchestration coordinates work across developers and AI agents by applying patterns for task decomposition, assignment, monitoring, and escalation. It provides governance to ensure safe, verifiable, and scalable collaboration.

How do I coordinate parallel tasks using a fan-out pattern?▼

Use the fan-out pattern to spawn multiple agents that work on independent tasks in parallel. This skill provides reference-driven guidance and templates to standardize delegation and enforce non-blocking operations.

When should I use map-reduce vs pipeline orchestration for AI agents?▼

Use the pipeline pattern to chain tasks sequentially when dependencies exist between agents. Use map-reduce when you need to distribute work across multiple workers and aggregate the results into a single output.

Can I manage task escalation and monitoring with a supervisor-worker pattern?▼

Yes, the supervisor-worker pattern uses a central coordinator that delegates to a lead supervisor and workers. This skill includes checklists and rules for minimal status reporting and verifiable completion to govern the workflow.

Do I need specific frameworks to implement multi-agent orchestration patterns?▼

No specific frameworks are required as dependencies. This skill provides the structural patterns, rules, and reference documents needed to standardize collaborations and guide safe task delegation across your existing environment.