What consensus protocols does this skill support?

The skill provides detailed implementation patterns and safety invariants for Raft (Crash Fault Tolerant), Multi-Paxos, and PBFT (Byzantine Fault Tolerant) protocols.

Can it help with data consistency issues like split-brain?

Yes, it includes troubleshooting guides and implementation logic for fencing mechanisms, lease management, and quorum-based writes to prevent split-brain scenarios.

Does it provide code templates for testing?

It includes unit test templates for simulating replication lag, validating consistent hashing redistribution, and testing conflict resolution strategies like Last Write Wins (LWW).

How does the skill validate cluster configurations?

It uses built-in validation rules to ensure your cluster can survive 'f' failures, requiring 2f+1 nodes for standard consensus and 3f+1 nodes for Byzantine environments.

Distributed Systems Design

Name: Distributed Systems Design
Author: pluginagentmarketplace

bypluginagentmarketplace

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Cloud Infrastructure

Architects production-grade distributed systems using formal consensus protocols, replication strategies, and automated consistency validation.

About

The Distributed Systems Skill provides a comprehensive framework for designing and implementing resilient backend architectures. It offers expert-level guidance on consensus algorithms like Raft and Paxos, sophisticated data partitioning schemes such as consistent hashing, and various replication models to meet specific consistency requirements. By integrating formal validation rules for quorum configurations and Byzantine fault tolerance, this skill ensures that your distributed coordination patterns are mathematically sound and ready for high-concurrency production environments.

Key Features

1 GitHub stars
Configurable retry logic with exponential backoff, jitter, and idempotency guarantees
Automated quorum validation and failure tolerance calculation (2f+1 and 3f+1 rules)
Formal implementation patterns for Raft, Paxos, and PBFT consensus protocols
Integrated observability templates for monitoring replication lag, elections, and network partitions
Advanced partitioning schemes including consistent hashing and range-based sharding

Use Cases

Architecting fault-tolerant leader election and coordination services for microservices
Implementing reliable state machine replication for mission-critical storage systems
Designing globally distributed databases with tunable consistency and replication models

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add pluginagentmarketplace/custom-plugin-system-design distributed-systems

For use in Claude.ai and ChatGPT

Download Skill

GitHub