designing-architecture
# Claude Code: Designing Architecture This skill guides developers through systematic software architecture design by providing decision frameworks, pattern selection tables, and workflow checklists. Use it when planning system designs, choosing between monolithic and microservices approaches, structuring new projects, making technical decisions about modules and components, or selecting appropriate architectural patterns based on project size and team capabilities.
git clone --depth 1 https://github.com/CloudAI-X/claude-workflow-v2 /tmp/designing-architecture && cp -r /tmp/designing-architecture/skills/designing-architecture ~/.claude/skills/designing-architectureSKILL.md
# Designing Architecture
### When to Load
- **Trigger**: System design, module structure, new project scaffolding, choosing architecture patterns
- **Skip**: Simple bug fixes or minor code changes that don't affect architecture
## Architecture Decision Workflow
Copy this checklist and track progress:
```
Architecture Design Progress:
- [ ] Step 1: Understand requirements and constraints
- [ ] Step 2: Assess project size and team capabilities
- [ ] Step 3: Select architecture pattern
- [ ] Step 4: Define directory structure
- [ ] Step 5: Document trade-offs and decision
- [ ] Step 6: Validate against decision framework
```
## Pattern Selection Guide
### By Project Size
| Size | Recommended Pattern |
| ----------------- | --------------------------------- |
| Small (<10K LOC) | Simple MVC/Layered |
| Medium (10K-100K) | Clean Architecture |
| Large (>100K) | Modular Monolith or Microservices |
### By Team Size
| Team | Recommended |
| --------- | ---------------------------- |
| 1-3 devs | Monolith with clear modules |
| 4-10 devs | Modular Monolith |
| 10+ devs | Microservices (if justified) |
## Common Patterns
### 1. Layered Architecture
```
┌─────────────────────────────┐
│ Presentation │ ← UI, API Controllers
├─────────────────────────────┤
│ Application │ ← Use Cases, Services
├─────────────────────────────┤
│ Domain │ ← Business Logic, Entities
├─────────────────────────────┤
│ Infrastructure │ ← Database, External APIs
└─────────────────────────────┘
```
**Use when**: Simple CRUD apps, small teams, quick prototypes
### 2. Clean Architecture
```
┌─────────────────────────────────────┐
│ Frameworks & Drivers │
│ ┌─────────────────────────────┐ │
│ │ Interface Adapters │ │
│ │ ┌─────────────────────┐ │ │
│ │ │ Application │ │ │
│ │ │ ┌─────────────┐ │ │ │
│ │ │ │ Domain │ │ │ │
│ │ │ └─────────────┘ │ │ │
│ │ └─────────────────────┘ │ │
│ └─────────────────────────────┘ │
└─────────────────────────────────────┘
```
**Use when**: Complex business logic, long-lived projects, testability is key
### 3. Hexagonal (Ports & Adapters)
```
┌──────────┐
│ HTTP API │
└────┬─────┘
│ Port
┌────────▼────────┐
│ │
│ Application │
│ Core │
│ │
└────────┬────────┘
│ Port
┌────▼─────┐
│ Database │
└──────────┘
```
**Use when**: Need to swap external dependencies, multiple entry points
### 4. Event-Driven Architecture
```
Producer → Event Bus → Consumer
│
├─→ Consumer
│
└─→ Consumer
```
**Use when**: Loose coupling needed, async processing, scalability
### 5. CQRS (Command Query Responsibility Segregation)
```
┌─────────────┐ ┌─────────────┐
│ Commands │ │ Queries │
│ (Write) │ │ (Read) │
└──────┬──────┘ └──────┬──────┘
│ │
▼ ▼
Write Model Read Model
│ │
└────────┬───────────┘
▼
Event Store
```
**Use when**: Different read/write scaling, complex domains, event sourcing
## Directory Structure Patterns
### Feature-Based (Recommended for medium+)
```
src/
├── features/
│ ├── users/
│ │ ├── api/
│ │ ├── components/
│ │ ├── hooks/
│ │ ├── services/
│ │ └── types/
│ └── orders/
│ ├── api/
│ ├── components/
│ └── ...
├── shared/
│ ├── components/
│ ├── hooks/
│ └── utils/
└── app/
└── ...
```
### Layer-Based (Simple apps)
```
src/
├── controllers/
├── services/
├── models/
├── repositories/
└── utils/
```
## Decision Framework
When making architectural decisions, evaluate against these criteria:
1. **Simplicity** - Start simple, evolve when needed
2. **Team Skills** - Match architecture to team capabilities
3. **Requirements** - Let business needs drive decisions
4. **Scalability** - Consider growth trajectory
5. **Maintainability** - Optimize for change
## Trade-off Analysis Template
Use this template to document architectural decisions:
```markdown
## Decision: [What we're deciding]
### Context
[Why this decision is needed now]
### Options Considered
1. Option A: [Description]
2. Option B: [Description]
### Trade-offs
| Criteria | Option A | Option B |
| ---------------- | -------- | -------- |
| Complexity | Low | High |
| Scalability | Medium | High |
| Team familiarity | High | Low |
### Decision
We chose [Option] because [reasoning].
### Consequences
- [What this enables]
- [What this constrains]
```
## Validation Checklist
After selecting an architecture, validate against:
```
Architecture Validation:
- [ ] Matches project size and complexity
- [ ] Aligns with team skills and experience
- [ ] Supports current requirements
- [ ] Allows for anticipated growth
- [ ] Dependencies flow inward (core has no external deps)
- [ ] Clear boundaries between modules/layers
- [ ] Testing strategy is feasible
- [ ] Trade-offs are documented
```
If validation fails, reconsider the pattern selection or adjust the implementation approach.Add tests for recently changed files or specified code
Analyzes codebases to understand structure, tech stack, patterns, and conventions. Use when onboarding to a new project, exploring unfamiliar code, or when asked "how does this work?" or "what's the architecture?
System design and architecture planning mode. Focuses on high-level design, trade-offs, and technical decisions before implementation.
Explore the repository with 10 parallel subagents to create comprehensive documentation. Creates CODEBASE.md with full architecture analysis.
Expert code review specialist. Use PROACTIVELY after writing or modifying code, before commits, when asked to review changes, PR review, code quality check, lint, or standards audit. Focuses on quality, security, performance, and maintainability.
Simplifies code after implementation. Reviews recent changes and suggests/applies simplifications while preserving behavior.
Create a conventional commit with auto-generated message
Commit staged changes, push to remote, and create a pull request