systems-design

Systems Design Plugin

Comprehensive systems design patterns for scalability, distributed systems, ML infrastructure, observability, and platform engineering. Language-agnostic conceptual patterns with practical guidance.

Installation

/plugin install systems-design@claude-code-plugins

Skills (35)

Interview Preparation

Skill	Purpose
design-interview-methodology	4-step framework for system design interviews
estimation-techniques	Back-of-envelope calculations (QPS, storage, bandwidth)
quality-attributes-taxonomy	The "-ilities" framework for NFRs

API Design

Skill	Purpose
api-design-fundamentals	REST/GraphQL/gRPC selection, resource modeling, API patterns
api-security	OAuth 2.0, OIDC, JWT, API keys, rate limiting, security vulnerabilities
api-versioning	Versioning strategies, breaking changes, deprecation
rate-limiting-patterns	Token bucket, sliding window, distributed rate limiting
idempotency-patterns	Idempotency keys, at-most-once semantics, duplicate prevention

Data & ML

Skill	Purpose
data-architecture	Data lakes, lakehouses, warehouses, data mesh
data-modeling	Dimensional modeling, star schema, data vault, ER design
etl-elt-patterns	Data pipelines, ETL vs ELT, transformation patterns
stream-processing	Kafka, Flink, event-driven architectures
ml-system-design	End-to-end ML pipelines, feature stores, model serving
ml-inference-optimization	Model compression, distillation, edge deployment
llm-serving-patterns	vLLM, TGI, quantization, batching, streaming
rag-architecture	Chunking, embeddings, retrieval, context assembly
vector-databases	Vector storage, ANN algorithms, semantic search

Distributed Systems & Resilience

Skill	Purpose
resilience-patterns	Circuit breakers, retries, bulkheads, failure handling
distributed-tracing	OpenTelemetry, span context, trace correlation
chaos-engineering-fundamentals	Fault injection, experiment design, resilience testing
gameday-planning	GameDay exercises, failure scenarios, chaos drills
incident-response	Incident management, runbooks, on-call practices

Observability

Skill	Purpose
observability-patterns	Logs, metrics, traces integration
slo-sli-error-budget	SLO definition, SLI selection, error budget policies
instrumentation-planning	Instrumentation strategy, naming, cardinality management

Infrastructure & Platform

Skill	Purpose
cdn-architecture	CDN design, cache hierarchies, origin shielding
edge-computing	Edge functions, compute placement, Cloudflare Workers, Lambda@Edge
multi-region-deployment	Global distribution, active-active, failover patterns
internal-developer-platform	IDP design, Backstage, portal design, platform teams
golden-paths	Standardized workflows, paved roads, guardrails
self-service-infrastructure	IaC templates, automated provisioning, Terraform/Pulumi
latency-optimization	Latency budgets, geographic routing, protocol optimization

Security

Skill	Purpose
mtls-service-mesh	Service-to-service security, Istio, Linkerd, certificate management
zero-trust-architecture	Microsegmentation, identity-based access, ZTNA
secrets-management	Vault, AWS Secrets Manager, secret rotation

Agents (13)

Agent	Purpose
api-reviewer	Review API designs for best practices and consistency
capacity-planner	Back-of-envelope calculations and infrastructure sizing
chaos-engineer	Design chaos experiments and validate resilience patterns
data-architect	Design data pipelines, ETL/ELT, streaming architectures
edge-architect	CDN strategies, edge deployment, global latency optimization
llm-optimization-advisor	LLM serving latency and cost optimization
ml-interviewer	ML system design interview practice
ml-systems-designer	End-to-end ML systems, feature stores, training pipelines
observability-consultant	SLO definition, monitoring strategies, three pillars
platform-engineer	Internal Developer Platforms, self-service, golden paths
rag-architect	RAG system design, embeddings, retrieval optimization
security-reviewer	Architecture security review, zero trust assessment
senior-staff-interviewer	Staff+ level interview practice with rigorous pushback

User-Invocable Skills (11)

Skill	Purpose
/systems-design:api-review	Review API design for best practices
/systems-design:chaos-plan	Design chaos experiments and GameDay plans
/systems-design:data-flow	Design data flow and pipeline architecture
/systems-design:edge-strategy	Design edge and CDN architecture
/systems-design:explain	Explain a systems design concept
/systems-design:latency-budget	Calculate and allocate latency budgets
/systems-design:ml-pipeline	Design ML pipeline architecture
/systems-design:mock-interview	Interactive system design mock interview
/systems-design:rag-design	Design RAG system architecture
/systems-design:security-review	Review architecture for security gaps
/systems-design:slo-workshop	Interactive SLO definition workshop

Features

Interview Preparation

Complete toolkit for system design interviews:

• 4-step framework: Requirements, high-level design, deep dive, wrap-up
• Estimation techniques: QPS, storage, bandwidth calculations
• Mock interviews: Practice with ML, data, and staff+ interviewers

ML & AI Systems

Design production ML systems:

• ML pipelines: Feature stores, training, serving infrastructure
• LLM optimization: vLLM, quantization, batching strategies
• RAG systems: Chunking, embeddings, retrieval, vector databases

Observability & Reliability

Build reliable, observable systems:

• SLO workshops: Define SLIs, set targets, establish error budgets
• Chaos engineering: Design experiments, plan GameDays
• Incident response: Runbooks, on-call practices, postmortems

Platform Engineering

Design developer platforms:

• Internal Developer Platforms: Backstage, portal design
• Golden paths: Standardized workflows, guardrails
• Self-service infrastructure: IaC templates, automated provisioning

License

MIT