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System design

Skill itzcull/software-skills/skills/system-design

Distributed systems design covering CAP theorem, load balancing, caching strategies, message queues, database sharding, consistency patterns, circuit breakers, architectural patterns (microservices, event-driven, serverless), and 12 key tradeoffs. Use when designing distributed systems, evaluating infrastructure tradeoffs, choosing databases, or understanding scalability patterns.From its SKILL.md

Install
npx -y skills add itzcull/software-skills --skill system-design

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SKILL.md

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Purpose

Provide comprehensive reference material on system design concepts. Covers building blocks, architectural patterns, key concepts, and tradeoffs for designing reliable distributed systems.

When to use

  • Designing a new distributed system or service
  • Choosing between architectural patterns (microservices, event-driven, serverless)
  • Evaluating database choices (SQL vs NoSQL, sharding, replication)
  • Understanding caching strategies and consistency models
  • Making scalability decisions (vertical vs horizontal, sync vs async)
  • Evaluating tradeoffs (latency vs throughput, strong vs eventual consistency)

Key concepts

  • CAP Theorem - consistency, availability, partition tolerance tradeoff
  • Idempotency - operations safe to retry
  • Circuit Breakers - prevent cascade failures
  • Eventual Consistency - temporary inconsistency for availability
  • Design for failure - distributed systems fail in partial, unpredictable ways

Related

  • Use the system-designer agent for interactive architectural decisions

Reference files

Architectural Patterns

Building Blocks

Key Concepts

Tradeoffs

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