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system-architect

georgekhananaev/claude-skills-vault/.claude/skills/system-architect/SKILL.md

System architecture skill for designing scalable, maintainable software systems. Covers microservices/monolith decisions, API design, DB selection, caching, security, and scalability planning.

Skill28 starsChanged 4 months ago

What's in it

  1. System Architect Skill
  2. When to Use
  3. Capabilities
  4. 1. System Design
  5. 2. Scalability
  6. 3. Reliability
  7. 4. Security
  8. Architecture Decision Process
  9. Step 1: Requirements
  10. Step 2: Pattern Selection
  11. Step 3: Design Doc Template
  12. Pattern Reference
  13. Communication
  14. Data
  15. Resilience
  16. Project Structures
  17. Tech Stack Recommendations
  18. Web Apps
  19. Real-time
  20. Data-Intensive
  21. Diagramming
  22. ASCII Component
  23. Mermaid Sequence
  24. Evaluation Criteria
  25. Output Templates
  26. Quick Decision
  27. Integration
---
name: system-architect
description: System architecture skill for designing scalable, maintainable software systems. Covers microservices/monolith decisions, API design, DB selection, caching, security, and scalability planning.
---

# System Architect Skill

Design scalable, maintainable software systems.

## When to Use

- Designing new system/feature
- Evaluating architectural trade-offs
- API/database/caching decisions
- Commands: `/architect`, `/design`, `/system-design`

## Capabilities

### 1. System Design
- Microservices vs monolith
- API design (REST, GraphQL, gRPC)
- DB selection & schema design
- Caching & message queues
- Event-driven systems

### 2. Scalability
- Horizontal/vertical scaling
- Load balancing & sharding
- CDN & auto-scaling

### 3. Reliability
- HA patterns & DR planning
- Circuit breaker & retry
- Graceful degradation

### 4. Security
- Auth systems (OAuth, JWT, SSO)
- Authorization (RBAC, ABAC)
- API security & encryption

## Architecture Decision Process

### Step 1: Requirements

```markdown
1. Functional: Core features, workflows, integrations
2. Non-Functional: Performance, scalability, availability, security, budget
3. Constraints: Tech stack, team expertise, timeline, existing systems
```

### Step 2: Pattern Selection

Reference `patterns.json` for patterns, tech recommendations, trade-offs.

### Step 3: Design Doc Template

```markdown
# Architecture Design Document

## 1. Overview
[High-level description]

## 2. Goals & Non-Goals

## 3. Architecture
### System Diagram
### Components
| Component | Responsibility | Technology |
|-----------|---------------|------------|

### Data Flow

## 4. Technical Decisions
### Decision 1: [Title]
- Context | Options | Decision | Rationale

## 5. API Design
## 6. Data Model
## 7. Security
## 8. Scalability
## 9. Monitoring & Observability
## 10. Risks & Mitigations
```

## Pattern Reference

### Communication

| Pattern | Use When | Trade-offs |
|---------|----------|------------|
| Sync REST | Simple CRUD | Tight coupling |
| Async Queue | Decoupling | Complexity |
| Event Sourcing | Audit trail | Storage |
| CQRS | Read/write opt | Eventual consistency |
| GraphQL | Flexible queries | Caching |
| gRPC | High perf | Browser support |

### Data

| Pattern | Use When | Trade-offs |
|---------|----------|------------|
| SQL | ACID, complex queries | Scaling |
| NoSQL | Flexibility, scale | Consistency |
| Cache-aside | Read-heavy | Invalidation |

### Resilience

| Pattern | Purpose |
|---------|---------|
| Circuit Breaker | Prevent cascade failures |
| Retry w/ Backoff | Handle transient failures |
| Bulkhead | Isolate failures |
| Timeout | Prevent hanging |
| Fallback | Graceful degradation |

## Project Structures

Reference `structures.json` for:
- Python: FastAPI, Django
- TypeScript: Next.js, React, Express
- Java: Spring Boot
- Go: Standard Layout

## Tech Stack Recommendations

### Web Apps
```
Frontend: React/Next.js, Vue/Nuxt, Angular
Backend: Node.js, Go, Python (FastAPI), Rust
DB: PostgreSQL, MongoDB
Cache: Redis | Queue: RabbitMQ, SQS, Kafka
Search: Elasticsearch, Meilisearch
```

### Real-time
```
WebSocket: Socket.io, ws
Pub/Sub: Redis, Kafka
```

### Data-Intensive
```
Processing: Spark, Flink
Storage: S3, GCS
Warehouse: Snowflake, BigQuery
Pipeline: Airflow, Dagster
```

## Diagramming

### ASCII Component
```
┌─────────────┐     ┌─────────────┐     ┌─────────────┐
│   Client    │────▶│ API Gateway │────▶│  Services   │
└─────────────┘     └─────────────┘     └─────────────┘
                           │                   │
                           ▼                   ▼
                    ┌─────────────┐     ┌─────────────┐
                    │    Auth     │     │  Database   │
                    └─────────────┘     └─────────────┘
```

### Mermaid Sequence
```mermaid
sequenceDiagram
    Client->>API: Request
    API->>Auth: Validate Token
    Auth-->>API: Valid
    API->>Service: Process
    Service->>DB: Query
    DB-->>Service: Data
    Service-->>API: Response
    API-->>Client: Response
```

## Evaluation Criteria

| Criterion | Weight | Description |
|-----------|--------|-------------|
| Scalability | High | Can it handle growth? |
| Maintainability | High | Easy to modify/debug? |
| Performance | Med-High | Meets latency/throughput? |
| Cost | Medium | Infra + dev cost |
| Security | High | Meets requirements? |
| Complexity | Medium | Team can build/operate? |

## Output Templates

### Quick Decision
```markdown
**Question**: [What needs deciding]
**Recommendation**: [Approach]
**Rationale**: [Why]
**Trade-offs**: [Accepting]
**Alternatives**: [Other options]
```

## Integration

- **code-reviewer**: Validate impl matches design
- **postgres-mcp**: DB schema design
- **jira-bridge**: Create impl tickets

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