architecture-patterns

name	architecture-patterns
license	MIT
compatibility	Claude Code 2.1.139+.
description	Architecture validation and patterns for clean architecture, backend structure enforcement, project structure validation, test standards, and context-aware sizing. Use when designing system boundaries, enforcing layered architecture, validating project structure, defining test standards, or choosing the right architecture tier for project scope.
tags	["architecture","clean-architecture","validation","structure","enforcement","testing-standards","right-sizing","over-engineering","context-aware"]
skills	["scope-appropriate-architecture"]
context	fork
agent	backend-system-architect
version	2.1.0
author	OrchestKit
user-invocable	false
disable-model-invocation	false
complexity	high
persuasion-type	reference
effort	high
metadata	{"category":"document-asset-creation"}
allowed-tools	["Read","Glob","Grep","WebFetch","WebSearch"]
paths	["src/**","package.json","tsconfig.json"]

Architecture Patterns

Consolidated architecture validation and enforcement patterns covering clean architecture, backend layer separation, project structure conventions, and test standards. Each category has individual rule files in references/ loaded on-demand.

Quick Reference

Category	Rules	Impact	When to Use
Clean Architecture	3	HIGH	SOLID principles, hexagonal architecture, ports & adapters, DDD
Project Structure	2	HIGH	Folder conventions, nesting depth, import direction, barrel files
Backend Layers	3	HIGH	Router/service/repository separation, DI, file naming
Test Standards	3	MEDIUM	AAA pattern, naming conventions, coverage thresholds
Right-Sizing	2	HIGH	Architecture tier selection, over-engineering prevention, context-aware enforcement

Total: 13 rules across 5 categories

Quick Start

# Clean Architecture: Dependency Inversion via Protocol
class IUserRepository(Protocol):
    async def get_by_id(self, id: str) -> User | None: ...

class UserService:
    def __init__(self, repo: IUserRepository):
        self._repo = repo  # Depends on abstraction, not concretion

# FastAPI DI chain: DB -> Repository -> Service
def get_user_service(db: AsyncSession = Depends(get_db)) -> UserService:
    return UserService(PostgresUserRepository(db))

# Project Structure: Unidirectional Import Architecture
shared/lib  ->  components  ->  features  ->  app
(lowest)                                    (highest)

# Backend Layers: Strict Separation
Routers (HTTP) -> Services (Business Logic) -> Repositories (Data Access)

Clean Architecture

SOLID principles, hexagonal architecture, ports and adapters, and DDD tactical patterns for maintainable backends.

Rule	File	Key Pattern
Hexagonal Architecture	${CLAUDE_SKILL_DIR}/references/clean-hexagonal-ports-adapters.md	Driving/driven ports, adapter implementations, layer structure
SOLID & Dependency Rule	${CLAUDE_SKILL_DIR}/references/clean-solid-dependency-rule.md	Protocol-based interfaces, dependency inversion, FastAPI DI
DDD Tactical Patterns	${CLAUDE_SKILL_DIR}/references/clean-ddd-tactical-patterns.md	Entities, value objects, aggregate roots, domain events

Key Decisions

Decision	Recommendation
Protocol vs ABC	Protocol (structural typing)
Dataclass vs Pydantic	Dataclass for domain, Pydantic for API
Repository granularity	One per aggregate root
Transaction boundary	Service layer, not repository
Event publishing	Collect in aggregate, publish after commit

Project Structure

Feature-based organization, max nesting depth, unidirectional imports, and barrel file prevention.

Rule	File	Key Pattern
Folder Structure & Nesting	${CLAUDE_SKILL_DIR}/references/structure-folder-conventions.md	React/Next.js and FastAPI layouts, 4-level max nesting, barrel file rules
Import Direction & Location	${CLAUDE_SKILL_DIR}/references/structure-import-direction.md	Unidirectional imports, cross-feature prevention, component/hook placement

Blocking Rules

Rule	Check
Max Nesting	Max 4 levels from src/ or app/
No Barrel Files	No index.ts re-exports (tree-shaking issues)
Component Location	React components in components/ or features/ only
Hook Location	Custom hooks in hooks/ or features/*/hooks/ only
Import Direction	Unidirectional: shared -> components -> features -> app

Backend Layers

FastAPI Clean Architecture with router/service/repository layer separation and blocking validation.

Rule	File	Key Pattern
Layer Separation	${CLAUDE_SKILL_DIR}/references/backend-layer-separation.md	Router/service/repository boundaries, forbidden patterns, async rules
Dependency Injection	${CLAUDE_SKILL_DIR}/references/backend-dependency-injection.md	Depends() chains, auth patterns, testing with DI overrides
File Naming & Exceptions	${CLAUDE_SKILL_DIR}/references/backend-naming-exceptions.md	Naming conventions, domain exceptions, violation detection

Layer Boundaries

Layer	Responsibility	Forbidden
Routers	HTTP concerns, request parsing, auth checks	Database operations, business logic
Services	Business logic, validation, orchestration	HTTPException, Request objects
Repositories	Data access, queries, persistence	HTTP concerns, business logic

Test Standards

Testing best practices with AAA pattern, naming conventions, isolation, and coverage thresholds.

Rule	File	Key Pattern
AAA Pattern & Isolation	${CLAUDE_SKILL_DIR}/references/testing-aaa-isolation.md	Arrange-Act-Assert, test isolation, parameterized tests
Naming Conventions	${CLAUDE_SKILL_DIR}/references/testing-naming-conventions.md	Descriptive behavior-focused names for Python and TypeScript
Coverage & Location	${CLAUDE_SKILL_DIR}/references/testing-coverage-location.md	Coverage thresholds, fixture scopes, test file placement rules

Coverage Requirements

Area	Minimum	Target
Overall	80%	90%
Business Logic	90%	100%
Critical Paths	95%	100%
New Code	100%	100%

Right-Sizing

Context-aware backend architecture enforcement. Rules adjust strictness based on project tier detected by scope-appropriate-architecture.

Enforcement procedure:

1. Read project tier from scope-appropriate-architecture context (set during brainstorm/implement Step 0)
2. If no tier set, auto-detect using signals in Read("${CLAUDE_SKILL_DIR}/rules/right-sizing-tiers.md")
3. Apply tier-based enforcement matrix — skip rules marked OFF for detected tier
4. Security rules are tier-independent — always enforce SQL parameterization, input validation, auth checks

Rule	File	Key Pattern
Architecture Sizing Tiers	${CLAUDE_SKILL_DIR}/rules/right-sizing-tiers.md	Interview/MVP/production/enterprise sizing matrix, LOC estimates, detection signals
Right-Sizing Decision Guide	${CLAUDE_SKILL_DIR}/rules/right-sizing-decision.md	ORM, auth, error handling, testing recommendations per tier, over-engineering tax

Tier-Based Rule Enforcement

Rule	Interview	MVP	Production	Enterprise
Layer separation	OFF	WARN	BLOCK	BLOCK
Repository pattern	OFF	OFF	WARN	BLOCK
Domain exceptions	OFF	OFF	BLOCK	BLOCK
Dependency injection	OFF	WARN	BLOCK	BLOCK
OpenAPI documentation	OFF	OFF	WARN	BLOCK

Manual override: User can set tier explicitly to bypass auto-detection (e.g., "I want enterprise patterns for this take-home to demonstrate skill").

Decision Flowchart

Is this a take-home or hackathon?
  YES --> Flat architecture. Single file or 3-5 files. Done.
  NO  -->

Is this a prototype or MVP with < 3 months runway?
  YES --> Simple layered. Routes + services + models. No abstractions.
  NO  -->

Do you have > 5 engineers or complex domain rules?
  YES --> Clean architecture with ports/adapters.
  NO  --> Layered architecture. Add abstractions only when pain appears.

When NOT to Use

Not every project needs architecture patterns. Match complexity to project tier:

Pattern	Interview	Hackathon	MVP	Growth	Enterprise	Simpler Alternative
Repository pattern	OVERKILL (~200 LOC)	OVERKILL	BORDERLINE	APPROPRIATE	REQUIRED	Direct ORM calls in service (~20 LOC)
DI containers	OVERKILL (~150 LOC)	OVERKILL	LIGHT ONLY	APPROPRIATE	REQUIRED	Constructor params or module-level singletons (~10 LOC)
Event-driven arch	OVERKILL (~300 LOC)	OVERKILL	OVERKILL	SELECTIVE	APPROPRIATE	Direct function calls between services (~30 LOC)
Hexagonal architecture	OVERKILL (~400 LOC)	OVERKILL	OVERKILL	BORDERLINE	APPROPRIATE	Flat modules with imports (~50 LOC)
Strict layer separation	OVERKILL (~250 LOC)	OVERKILL	WARN	BLOCK	BLOCK	Routes + models in same file (~40 LOC)
Domain exceptions	OVERKILL (~100 LOC)	OVERKILL	OVERKILL	BLOCK	BLOCK	Built-in ValueError/HTTPException (~5 LOC)

Rule of thumb: If a pattern shows OVERKILL for the detected tier, do NOT use it. Use the simpler alternative. A take-home with hexagonal architecture signals over-engineering, not skill.

Anti-Patterns (FORBIDDEN)

# CLEAN ARCHITECTURE
# NEVER import infrastructure in domain layer
from app.infrastructure.database import engine  # In domain layer!

# NEVER leak ORM models to API layer
@router.get("/users/{id}")
async def get_user(id: str, db: Session) -> UserModel:  # Returns ORM model!

# NEVER have domain depend on framework
from fastapi import HTTPException
class UserService:
    def get(self, id: str):
        raise HTTPException(404)  # Framework in domain!

# PROJECT STRUCTURE
# NEVER create files deeper than 4 levels from src/
# NEVER create barrel files (index.ts re-exports)
# NEVER import from higher layers (features importing from app)
# NEVER import across features (use shared/ for common code)

# BACKEND LAYERS
# NEVER use database operations in routers
# NEVER raise HTTPException in services
# NEVER instantiate services without Depends()

# TEST STANDARDS
# NEVER mix test files with source code
# NEVER use non-descriptive test names (test1, test, works)
# NEVER share mutable state between tests without reset

Related Skills

• ork:scope-appropriate-architecture - Project tier detection that drives right-sizing enforcement
• ork:quality-gates - YAGNI gate uses tier context to validate complexity
• ork:distributed-systems - Distributed locking, resilience, idempotency patterns
• ork:api-design - REST API design, versioning, error handling
• ork:testing-unit - Unit testing: AAA pattern, fixtures, mocking, factories
• ork:testing-e2e - E2E testing: Playwright, page objects, visual regression
• ork:testing-integration - Integration testing: API endpoints, database, contracts
• ork:python-backend - FastAPI, SQLAlchemy, asyncio patterns
• ork:database-patterns - Schema design, query optimization, migrations