Does this support multi-node Redis setups?

Yes, it includes patterns for the Redlock algorithm, which provides high-availability locking by achieving a quorum across multiple independent Redis instances.

When should I use Redis vs. PostgreSQL for distributed locks?

Choose Redis for high-performance, low-latency requirements (sub-millisecond). Choose PostgreSQL advisory locks if you require ACID compliance or want to avoid adding new infrastructure to your existing database setup.

Can I use these patterns for leader election?

Absolutely. The skill provides the foundational coordination patterns required to implement leader election and maintain a single active coordinator in a distributed cluster.

How does this skill prevent system deadlocks?

The skill enforces mandatory Time-To-Live (TTL) settings on all locks and provides implementation patterns for fencing tokens, ensuring locks expire automatically if a service instance crashes.

Distributed Locking Patterns

Name: Distributed Locking Patterns
Author: yonatangross

byyonatangross

•

API Development

Implements robust distributed locking mechanisms using Redis and PostgreSQL to coordinate shared resources across multiple service instances.

This skill provides production-ready implementation patterns for distributed coordination, essential for modern microservices architectures. It enables developers to prevent race conditions, manage singleton processes like cron jobs or leader elections, and protect critical code sections across horizontally scaled environments. By offering high-performance Redis-based locks alongside ACID-compliant PostgreSQL advisory locks, it ensures that Claude can architect systems that maintain data integrity and avoid duplicate processing in distributed settings.

Key Features

0169 GitHub stars

02Atomic Redis locking implementation using optimized Lua scripts

03Integrated TTL and fencing token strategies to prevent permanent deadlocks

04High-availability Redlock algorithm patterns for critical operations

05PostgreSQL advisory locks for session and transaction-level safety

06Standardized retry logic with exponential backoff and jitter

Use Cases

01Preventing duplicate processing of background jobs or events across workers

02Implementing leader election for singleton service instances and coordinators

03Protecting critical sections and shared resources in horizontally scaled systems

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yonatangross/orchestkit distributed-locks

For use in Claude.ai and ChatGPT

Download Skill