
Designing Architecture
- 15 installs
- 1.4k repo stars
- Updated August 4, 2026
- cloudai-x/claude-workflow
Guides selecting a software architecture pattern based on project and team size and defining directory structure and trade-offs.
About
Provides a decision workflow for choosing between layered, clean, modular monolith, and microservices architectures using project size and team guides. A developer uses it when designing systems, structuring projects, or making architectural decisions.
- Pattern-selection tables by project LOC and team size
- Documents trade-offs and validates against a decision framework
Designing Architecture by the numbers
- 15 all-time installs (skills.sh)
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- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 15 |
|---|---|
| repo stars | ★ 1.4k |
| Last updated | August 4, 2026 |
| Repository | cloudai-x/claude-workflow ↗ |
What it does
Guides selecting a software architecture pattern based on project and team size and defining directory structure and trade-offs.
Files
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 frameworkPattern 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
│
└─→ ConsumerUse when: Loose coupling needed, async processing, scalability
5. CQRS (Command Query Responsibility Segregation)
┌─────────────┐ ┌─────────────┐
│ Commands │ │ Queries │
│ (Write) │ │ (Read) │
└──────┬──────┘ └──────┬──────┘
│ │
▼ ▼
Write Model Read Model
│ │
└────────┬───────────┘
▼
Event StoreUse 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:
## 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 documentedIf validation fails, reconsider the pattern selection or adjust the implementation approach.