skills.rest
abzhaw
abzhawCOMMUNITY
Explore all skills by this author →
GitHub

message-queue-patterns

Implement file-backed queue designs with enqueue/dequeue semantics and DLQ routing.

Updated Feb 21, 2026
Search Tags:#messaging#patterns#polling#queue#bridge#dead-letter
One-click install
npx skills add https://github.com/abzhaw/juliaz_agents --skill message-queue-patterns
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: message-queue-patterns
Source: https://github.com/abzhaw/juliaz_agents/tree/main/.agent/skills/message-queue-patterns
Command: npx skills add https://github.com/abzhaw/juliaz_agents --skill message-queue-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinated inter-agent communication often suffers from unreliable message delivery, lost messages, and unclear dead-letter handling. This Skill guides you through robust queue designs, polling vs push delivery, and persistence strategies for the bridge-queue workflow.

Core Features & Use Cases

  • Queue design patterns for simple file-backed queues and durable stores
  • Polling vs push strategies for timely processing and scalability
  • Dead-letter routing and retry semantics for failed messages in multi-agent systems
  • Use Case: Designing a reliable message flow between the OpenClaw gateway, bridge, and orchestrator to prevent message loss during outages.

Quick Start

Configure a simple file-backed queue, enqueue several messages, and verify that processed messages are marked and DLQ routing works.

Frequently Asked Questions about message-queue-patterns

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

FAQPage Schema
How do I design a dead-letter queue for multi-agent messaging?▼

Dead-letter queue routing for multi-agent messaging isolates failed messages during bridge and orchestrator workflows. You configure DLQ routing to capture errors and apply retry semantics, preventing message loss during inter-agent outages.

What is the difference between polling and push delivery in a message queue?▼

Polling versus push delivery in a message queue determines how agents consume messages. Polling offers controlled processing scalability, while push strategies provide timely delivery for bridge queue workflows requiring immediate message handling.

How do I set up a file-backed queue for inter-agent communication?▼

Setting up a file-backed queue for inter-agent communication involves configuring enqueue and dequeue semantics with persistence. This ensures messages are stored durably, preventing loss during outages between the gateway, bridge, and orchestrator.

Why do messages get lost during orchestrator outages and how do I prevent it?▼

Messages get lost during orchestrator outages due to lack of queue persistence and dead-letter handling. You prevent message loss by applying durable file-backed queue designs and DLQ routing to capture failed multi-agent interactions.

When should I use dead-letter routing in a bridge queue workflow?▼

Use dead-letter routing in a bridge queue workflow when failed messages need isolation and clear error handling. DLQ routing captures undeliverable messages during multi-agent interactions, preventing them from blocking the main processing pipeline.

Related Skills

Explore More Software Engineering Skills→
abzhawabzhaw

agent-orchestration-patterns

Document and codify multi-agent orchestration patterns for Julia's agent system.

Community
Advanced
duc01226duc01226
7

message-bus

Publish and consume RabbitMQ messages with standardized schemas and naming conventions.

Community
Advanced
dsactivi-2dsactivi-2

n8n-workflow-automation

Generate n8n workflow JSON with triggers, error handling, and review queues.

Community
Advanced
roanbrasilroanbrasil
5

messaging-brokers

Select messaging brokers and implement reliability patterns for distributed systems.

Community
Advanced