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gh-buzzdan-ai-coding-rules-…/skills/code-designing/SKILL.md
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---
name: code-designing
description: Domain type design and architectural planning for Go code. Use when planning new features, designing self-validating types, preventing primitive obsession, or when refactoring reveals need for new types. Focuses on vertical slice architecture and type safety.
---
# Code Designing
Domain type design and architectural planning for Go code.
Use when planning new features or identifying need for new types during refactoring.
## When to Use
- Planning a new feature (before writing code)
- Refactoring reveals need for new types (complexity extraction)
- Linter failures suggest types should be introduced
- When you need to think through domain modeling
## Purpose
Design clean, self-validating types that:
- Prevent primitive obsession
- Ensure type safety
- Make validation explicit
- Follow vertical slice architecture
## Workflow
### 0. Architecture Pattern Analysis (FIRST STEP)
**Default: Always use vertical slice architecture** (feature-first, not layer-first).
Scan codebase structure:
- **Vertical slicing**: `internal/feature/{handler,service,repository,models}.go`
- **Horizontal layering**: `internal/{handlers,services,domain}/feature.go` ⚠️
**Decision Flow**:
1. **Pure vertical** → Continue pattern, implement as `internal/[new-feature]/`
2. **Pure horizontal** → Propose: Start migration with `docs/architecture/vertical-slice-migration.md`, implement new feature as first vertical slice
3. **Mixed (migrating)** → Check for migration docs, continue pattern as vertical slice
**Always ask user approval with options:**
- Option A: Vertical slice (recommended for cohesion/maintainability)
- Option B: Match existing pattern (if time-constrained)
- Acknowledge: Time pressure, team decisions, consistency needs are valid
**If migration needed**, create/update `docs/architecture/vertical-slice-migration.md`:
```markdown
# Vertical Slice Migration Plan
## Current State: [horizontal/mixed]
## Target: Vertical slices in internal/[feature]/
## Strategy: New features vertical, migrate existing incrementally
## Progress: [x] [new-feature] (this PR), [ ] existing features
```
See reference.md section #3 for detailed patterns.
---
### 1. Understand Domain
- What is the problem domain?
- What are the main concepts/entities?
- What are the invariants and rules?
- How does this fit into existing architecture?
### 2. Identify Core Types
Ask for each concept:
- Is this currently a primitive (string, int, float)?
- Does it have validation rules?
- Does it have behavior beyond simple data?
- Is it used across multiple places?
If yes to any → Consider creating a type
### 3. Design Self-Validating Types
For each type:
```go
// Type definition
type TypeName underlyingType
// Validating constructor
func NewTypeName(input underlyingType) (TypeName, error) {
// Validate input
if /* validation fails */ {
return zero, errors.New("why it failed")
}
return TypeName(input), nil
}
// Methods on type (if behavior needed)
func (t TypeName) SomeMethod() result {
// Type-specific logic
}
```
### 4. Plan Package Structure
- **Vertical slices**: Group by feature, not layer
- Each feature gets its own package
- Within package: separate by role (service, repository, handler)
Good structure:
```
user/
├── user.go # Domain types
├── service.go # Business logic
├── repository.go # Persistence
└── handler.go # HTTP/API
```
Bad structure:
```
domain/user.go
services/user_service.go
repository/user_repository.go
```
### 5. Design Orchestrating Types
For types that coordinate others:
- Make fields private
- Validate dependencies in constructor
- No nil checks in methods (constructor guarantees validity)
```go
type Service struct {
repo Repository // private
notifier Notifier // private
}
func NewService(repo Repository, notifier Notifier) (*Service, error) {
if repo == nil {
return nil, errors.New("repo required")
}
if notifier == nil {
return nil, errors.New("notifier required")
}
return &Service{
repo: repo,
notifier: notifier,
}, nil
}
// Methods can trust fields are valid
func (s *Service) DoSomething() error {
// No nil checks needed
return s.repo.Save(...)
}
```
### 6. Review Against Principles
Check design against (see reference.md):
- [ ] No primitive obsession
- [ ] Types are self-validating
- [ ] Vertical slice architecture
- [ ] Types designed around intent, not just shape
- [ ] Clear separation of concerns
## Output Format
After design phase:
```
🎨 DESIGN PLAN
Feature: [Feature Name]
Core Domain Types:
✅ UserID (string) - Self-validating, prevents empty IDs
✅ Email (string) - Self-validating, RFC 5322 validation
✅ Age (int) - Self-validating, range 0-150
Orchestrating Types:
✅ UserService - Coordinates user operations
Dependencies: Repository, Notifier
Methods: CreateUser, GetUser, UpdateUser
Package Structure:
📁 user/
├── user.go # UserID, Email, Age, User
├── service.go # UserService
├── repository.go # Repository interface + implementations
├── notifier.go # Notifier interface + implementations
└── handler.go # HTTP handlers
Design Decisions:
- UserID is custom type to prevent passing empty/invalid IDs
- Email validation centralized in NewEmail constructor
- Vertical slice keeps all user logic in one package
- Repository as interface allows multiple backends (Postgres, in-memory for tests)
Integration Points:
- Consumed by: HTTP API (/users endpoints)
- Depends on: Database, Email service
- Events: UserCreated event published after creation
Next Steps:
1. Create types with validating constructors
2. Write unit tests for each type
3. Implement UserService
4. Write integration tests
Ready to implement? Use @testing skill for test structure.
```
## Key Principles
See reference.md for detailed principles:
- Primitive obsession prevention (Yoke design strategy)
- Self-validating types
- Vertical slice architecture
- Types around intent and behavior, not just shape
- Single responsibility per type
## Pre-Code Review Questions
Before writing code, ask:
- Can logic be moved into smaller custom types?
- Is this type designed around intent and behavior?
- Have I avoided primitive obsession?
- Is validation in the right place (constructor)?
- Does this follow vertical slice architecture?
Only after satisfactory answers, proceed to implementation.
See reference.md for complete design principles and examples.