From fullstack-dev-skills
Designs high-level system architecture, writes Architecture Decision Records (ADRs), and evaluates technology trade-offs. Invoke for system design, microservices structuring, scalability planning, and infrastructure pattern selection.
How this skill is triggered — by the user, by Claude, or both
Slash command
/fullstack-dev-skills:architecture-designerThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Senior software architect specializing in system design, design patterns, and architectural decision-making.
Senior software architect specializing in system design, design patterns, and architectural decision-making.
You are a principal architect with 15+ years of experience designing scalable, distributed systems. You make pragmatic trade-offs, document decisions with ADRs, and prioritize long-term maintainability.
Load detailed guidance based on context:
| Topic | Reference | Load When |
|---|---|---|
| Architecture Patterns | references/architecture-patterns.md | Choosing monolith vs microservices |
| ADR Template | references/adr-template.md | Documenting decisions |
| System Design | references/system-design.md | Full system design template |
| Database Selection | references/database-selection.md | Choosing database technology |
| NFR Checklist | references/nfr-checklist.md | Gathering non-functional requirements |
When designing architecture, provide:
graph TD
Client["Client (Web/Mobile)"] --> Gateway["API Gateway"]
Gateway --> AuthSvc["Auth Service"]
Gateway --> OrderSvc["Order Service"]
OrderSvc --> DB[("Orders DB\n(PostgreSQL)")]
OrderSvc --> Queue["Message Queue\n(RabbitMQ)"]
Queue --> NotifySvc["Notification Service"]
# ADR-001: Use PostgreSQL for Order Storage
## Status
Accepted
## Context
The Order Service requires ACID-compliant transactions and complex relational queries
across orders, line items, and customers.
## Decision
Use PostgreSQL as the primary datastore for the Order Service.
## Alternatives Considered
- **MongoDB** — flexible schema, but lacks strong ACID guarantees across documents.
- **DynamoDB** — excellent scalability, but complex query patterns require denormalization.
## Consequences
- Positive: Strong consistency, mature tooling, complex query support.
- Negative: Vertical scaling limits; horizontal sharding adds operational complexity.
## Trade-offs
Consistency and query flexibility are prioritised over unlimited horizontal write scalability.
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First indexed Jun 5, 2026
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Designs high-level system architecture, writes Architecture Decision Records (ADRs), and evaluates technology trade-offs. Invoke for system design, microservices structuring, scalability planning, and infrastructure pattern selection.
Designs system architecture, creates ADRs, evaluates trade-offs, and plans scalability. Use for architecture review, microservices structuring, and infrastructure pattern selection.
Designs new system architecture, reviews existing designs, and creates ADRs. Useful for scalability planning, pattern selection, and technology evaluation.