async-processing-patterns

Design asynchronous queue workflows with retries, DLQs, and idempotent processing.

Updated Mar 29, 2026

Search Tags:#monitoring #async #queues #workers #idempotency #retry #dead-letter

Ready to run

npx skills add https://github.com/marquesfelip/agents-and-skills --skill async-processing-patterns

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: async-processing-patterns
Source: https://github.com/marquesfelip/agents-and-skills/tree/main/skills/async-processing-patterns
Command: npx skills add https://github.com/marquesfelip/agents-and-skills --skill async-processing-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Async processing and message-driven architectures introduce complexity around reliability, idempotency, retries, and failure handling. This Skill helps you design safe async workflows for queue + worker systems, ensuring low data loss and predictable behavior.

Core Features & Use Cases

Decision framework for when to use async vs synchronous processing in distributed systems.
Guidelines for message schemas, idempotent consumers, and concurrency patterns.
Retry strategies with exponential backoff, jitter, and DLQ handling across popular brokers (RabbitMQ, SQS, Kafka, Redis).
DLQ design, visibility management, and observability considerations for production workloads.

Quick Start

Define a complete design for a new queue+worker system, including message schema, idempotency checks, exponential backoff retry policy, and DLQ strategy.

Frequently Asked Questions about async-processing-patterns

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

FAQPage Schema

How do I design idempotent consumers for RabbitMQ or SQS to prevent duplicate processing?▼

Idempotent consumers prevent duplicate processing by validating message schemas and tracking processed states. This Skill helps you design consumers that safely handle retries and concurrency across RabbitMQ, SQS, Kafka, and Redis without reprocessing messages.

What is the best way to implement exponential backoff with jitter and dead-letter queues?▼

Exponential backoff with jitter spaces out retry attempts to avoid thundering herd problems. This Skill provides guidelines for implementing retry strategies alongside dead-letter queue handling for failed messages in queue-based worker systems.

When should I use async processing instead of synchronous processing in distributed systems?▼

Use async processing when you need to decouple producers and consumers for reliability and scalability. This Skill offers a decision framework to determine when queue-based asynchronous workflows are more appropriate than synchronous calls.

How do I handle visibility management and monitor production-grade async workflows?▼

Visibility management ensures messages are not prematurely consumed by other workers during processing. This Skill covers visibility timeout configurations and observability considerations for monitoring reliable async queue and worker architectures.

Does this approach work across different message brokers or is it specific to one queue?▼

These async processing patterns apply broadly across popular message brokers. The Skill covers safe asynchronous workflow design, retries, and dead-letter queues for RabbitMQ, SQS, Kafka, and Redis queue systems interchangeably.