Can it help me implement high availability?

Absolutely. It covers HA patterns such as Active-Active/Passive configurations, circuit breakers to prevent cascading failures, and robust health check implementations.

Is this skill useful for technical interview preparation?

Yes. While designed for real-world development, its comprehensive coverage of the CAP theorem and common system architectures makes it an excellent tool for system design interview study.

Does this skill help with database scaling?

Yes, it includes detailed guidance on implementing read replicas, horizontal sharding, and consistent hashing to manage large-scale data storage.

What is the Claude Code System Design skill?

It is a specialized plugin for Claude Code that provides architectural patterns, best practices, and implementation code for building scalable, available, and performant distributed systems.

Which caching strategies are supported?

The skill provides logic and code patterns for Cache-Aside (Lazy Loading), Write-Through, and Write-Behind strategies, along with various cache invalidation techniques.

System Design & Scalability

Name: System Design & Scalability
Author: miles990

bymiles990

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云基础设施

Architect high-performance, distributed systems using proven principles of scalability, availability, and reliability.

关于

This skill equips Claude with specialized knowledge for designing large-scale distributed systems, providing patterns for load balancing, multi-level caching, database sharding, and message queue implementations. It enables developers to transition from simple backend services to robust, high-availability architectures by applying concepts like the CAP theorem, circuit breakers, and various consistency models to ensure system performance and data integrity under heavy load. Whether you are building a new microservice or scaling an existing platform, this skill provides the implementation patterns and architectural guidance needed for modern infrastructure.

主要功能

Comprehensive caching strategies including Cache-Aside, Write-Through, and invalidation logic
Database scaling techniques such as read replicas, sharding, and consistent hashing
Message queue integration with at-least-once and exactly-once delivery guarantees
Implementation patterns for horizontal scaling and stateless service design
High-availability patterns including circuit breakers, failover, and health checks
1 GitHub stars

使用场景

Scaling a monolith to a distributed microservices architecture with high availability
Designing data-intensive systems like URL shorteners, social feeds, or streaming platforms
Optimizing backend performance through advanced rate limiting and caching layers

关于

主要功能

Comprehensive caching strategies including Cache-Aside, Write-Through, and invalidation logic
Database scaling techniques such as read replicas, sharding, and consistent hashing
Message queue integration with at-least-once and exactly-once delivery guarantees
Implementation patterns for horizontal scaling and stateless service design
High-availability patterns including circuit breakers, failover, and health checks
1 GitHub stars

使用场景

Scaling a monolith to a distributed microservices architecture with high availability
Designing data-intensive systems like URL shorteners, social feeds, or streaming platforms
Optimizing backend performance through advanced rate limiting and caching layers