distributed-locks-leases

Implement distributed mutual exclusion and leader election patterns across processes and nodes.

9|3|Updated Jun 13, 2026
One-click install
npx skills add https://github.com/Sir-chawakorn/sanook-cli --skill distributed-locks-leases
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: distributed-locks-leases
Source: https://github.com/Sir-chawakorn/sanook-cli/tree/main/skills/distributed-locks-leases
Command: npx skills add https://github.com/Sir-chawakorn/sanook-cli --skill distributed-locks-leases

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the challenge of ensuring that only one process or node performs a specific task at a time across a distributed system, preventing data corruption and race conditions.

Core Features & Use Cases

  • Distributed Mutual Exclusion: Provides patterns for Redis, etcd, ZooKeeper, and Postgres to ensure exclusive access to shared resources.
  • Safety Guardrails: Implements fencing tokens and lease management to handle clock skew, GC pauses, and network partitions.
  • Use Case: Use this to ensure that a scheduled cron job or a background migration task does not run concurrently on multiple server replicas.

Quick Start

Analyze my current architecture and recommend the safest distributed locking strategy based on my existing infrastructure and consistency requirements.

Frequently Asked Questions about distributed-locks-leases

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

FAQPage Schema
How do I implement distributed locking to prevent concurrent cron job execution across multiple server replicas?

Distributed locking prevents concurrent execution by enforcing cross-node mutual exclusion. This skill implements TTL-based lease management and monotonic fencing tokens to ensure only one process runs your scheduled tasks or background migrations at any given time.

What is the safest distributed lock strategy to handle clock skew and network partitions?

The safest distributed lock strategy uses consensus-backed safety and fencing tokens to mitigate split-brain and mid-work expiry hazards. This approach protects against clock skew and GC pauses by validating lease ownership before executing critical operations.

Can I use Redis or Postgres for distributed mutual exclusion and leader election?

Yes, you can use Redis or Postgres for distributed mutual exclusion and leader election. This skill provides implementation patterns tailored to these existing infrastructure components to serialize access to shared resources and coordinate active-passive failover.

What's the best way to implement leader election for active-passive failover coordination?

The best way to implement leader election for active-passive failover is through TTL-based lease management. This ensures consensus-backed safety by granting a temporary, expiring lease to a single node, preventing split-brain scenarios during network interruptions.

Why do distributed locks fail during GC pauses and how do fencing tokens help?

Distributed locks fail during GC pauses because a process may hold an expired lease without knowing it. Fencing tokens provide a monotonically increasing identifier that downstream services check to reject stale operations from paused processes.

Do I need consensus backing to safely manage TTL-based leases for distributed systems?

You need consensus backing to safely manage TTL-based leases because it guarantees mutual exclusion during network partitions. This prevents split-brain scenarios by ensuring no two nodes can simultaneously believe they hold the active lease.