oa-orchestration-patterns

Structure multi-agent workflows with reusable orchestration patterns.

4|Updated Feb 26, 2026
One-click install
npx skills add https://github.com/OpenAEC-Foundation/Open-Agents --skill oa-orchestration-patterns
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oa-orchestration-patterns
Source: https://github.com/OpenAEC-Foundation/Open-Agents/tree/main/.claude/skills/oa-orchestration-patterns
Command: npx skills add https://github.com/OpenAEC-Foundation/Open-Agents --skill oa-orchestration-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides pre-defined patterns for structuring complex multi-agent workflows, ensuring efficient and effective task decomposition and execution.

Core Features & Use Cases

  • Research Swarm: Ideal for parallel investigation of multiple topics, followed by synthesis.
  • Build Pipeline: Suitable for sequential development tasks, from planning to validation.
  • Review Chain: Ensures quality through a writer-reviewer-fixer loop for critical outputs.
  • Batch Processor: Efficiently applies the same task to multiple inputs.

Quick Start

Use the oa-orchestration-patterns skill to structure a multi-agent task by selecting the appropriate pattern.

Frequently Asked Questions about oa-orchestration-patterns

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

FAQPage Schema
How do I structure a multi-agent workflow for parallel research and synthesis?

Use a multi-agent orchestration pattern like a research swarm to parallelize topic investigation and synthesize outputs. This pattern decomposes broad research tasks into concurrent agent investigations, merging findings for final synthesis.

What is the best way to coordinate a sequential build pipeline across multiple agents?

A build pipeline orchestration pattern coordinates sequential development tasks across multiple agents. It guides work through stages from initial planning to final validation, ensuring structured progression and agent coordination.

Can I apply the same task to multiple inputs using multi-agent orchestration?

Yes, a batch processor pattern efficiently applies identical tasks to multiple inputs using multi-agent orchestration. It enforces critical rules for batch sizes and pattern isolation to maintain output quality during execution.

How does a review chain pattern work for ensuring multi-agent output quality?

A review chain pattern ensures quality through a writer-reviewer-fixer loop. This multi-agent workflow structure iteratively refines critical outputs by dedicating specialized agents to generation, critique, and correction phases.

What are the limitations of multi-agent orchestration patterns for complex task decomposition?

Multi-agent orchestration patterns enforce strict limitations on batch sizes and require pattern isolation to maintain coordination. Exceeding these constraints risks degrading agent coordination and overall output quality during execution.