Does it support event-driven architecture patterns?

Yes, it provides implementation rules for Event Sourcing, CQRS, and the Transactional Outbox pattern to ensure reliable messaging between services.

What distributed lock strategies are supported by this skill?

The skill supports Redis (including Redlock for high availability), PostgreSQL advisory locks, and fencing tokens to ensure safe, exclusive resource access.

Can I use this for edge computing platforms?

Yes, it includes specific patterns for Cloudflare Workers, Vercel Edge, and Deno Deploy, covering V8 isolate constraints and geo-routing.

When should I use distributed patterns versus simpler alternatives?

Distributed patterns are recommended when you have multiple service instances. For single-server processes, standard database locks or in-memory queues are often more efficient.

Distributed Systems Patterns

Name: Distributed Systems Patterns
Author: yonatangross

byyonatangross

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116

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API Development

Implements production-grade distributed system patterns for locking, resilience, idempotency, and rate limiting.

This skill provides a comprehensive toolkit for building reliable and scalable distributed architectures within Claude Code. It offers standardized, production-ready implementations for critical patterns such as Redis-based distributed locks, circuit breakers to prevent cascading failures, and sophisticated rate-limiting algorithms like Token Bucket and Sliding Window. Whether you are managing microservices, edge computing runtimes like Cloudflare Workers, or complex event-driven architectures using CQRS and Sagas, this skill ensures your backend systems remain fault-tolerant and consistent under high load.

Key Features

01Robust idempotency strategies using deterministic keys and database-backed storage for safe retries.

02Edge computing and event-driven patterns for Event Sourcing, CQRS, and Transactional Outbox.

03Multi-algorithm distributed rate limiting with Redis Lua scripts and sliding window counters.

04116 GitHub stars

05Distributed locking via Redis Redlock, PostgreSQL advisory locks, and fencing tokens.

06Advanced resilience patterns including circuit breakers, exponential backoff, and bulkhead isolation.

Use Cases

01Preventing race conditions in multi-instance environments using distributed locking mechanisms.

02Protecting downstream services from cascading failures with circuit breakers and bulkhead isolation.

03Implementing globally distributed API rate limits and edge-based caching for high-scale applications.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yonatangross/orchestkit distributed-systems

For use in Claude.ai and ChatGPT

Download Skill