# Architecture Patterns

> System and API design guidance covering component boundaries, data flow, integration patterns, and scalability considerations.

- Skill: `a5c-ai/architecture-patterns` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add a5c-ai/architecture-patterns`
- Raw SKILL.md: https://api.skillmd.com/api/skills/a5c-ai/architecture-patterns/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Web & Frontend
- Author: a5c-ai (https://skillmd.com/u/a5c-ai)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/a5c-ai/architecture-patterns

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- Single responsibility boundaries
- Interface contracts and type safety
- Dependency injection patterns
- Module cohesion and coupling analysis

### Data Flow
- Request/response patterns
- Event-driven architecture
- State management strategies
- Data transformation pipelines

### Integration Patterns
- API design (REST, GraphQL, RPC)
- Message queuing and async processing
- Service boundaries and communication
- Error propagation across boundaries

### Scalability
- Horizontal vs vertical scaling considerations
- Caching strategies
- Database design and query optimization
- Load balancing and distribution

## Decision Checkpoints

Architectural decisions require user approval when:
- Introducing new service boundaries
- Changing data flow patterns
- Adding new external dependencies
- Modifying public API contracts

## When to Use

- During PLAN workflow architecture phases
- During BUILD when architectural choices arise
- When reviewing system design in REVIEW workflow

## Agents Used

- `planner` (architecture planning)
- `component-builder` (architecture implementation)
- `code-reviewer` (architecture review)