SDD Technical Design Specification

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Generates comprehensive technical design documents from approved requirements. Use after requirements are validated to define architecture, components, data models, and interfaces. Ideal for structuring the design phase in an SDD workflow.

Sby Skills Guide Bot
DevelopmentIntermediate
506/2/2026
Claude Code
#sdd#technical-design#architecture#software-design

Recommended for

Our review

Generates detailed technical design specifications from approved requirements, following the SDD workflow.

Strengths

  • Comprehensive structure with verifiable steps and ready-to-use templates
  • Selection of architecture patterns suitable for requirements
  • Documentation of interfaces, data models, and error handling

Limitations

  • Requires requirements to be already approved via the SDD process
  • Does not cover implementation or validation tests
  • May be overkill for small projects or minor changes
When to use it

Use this skill to formalize the architecture of a feature after requirements approval, in a project following SDD methodology.

When not to use it

Avoid it for trivial modifications, rapid prototypes, or when architecture is already defined and doesn't need formal documentation.

Security analysis

Safe
Quality score85/100

This skill is a pure instructional document for generating design specifications. It contains no executable code, no calls to external services, and no destructive commands. It references MCP tools for workflow steps, but these are part of a controlled environment and do not introduce risk.

No concerns found

Examples

Design user authentication module
/sdd-design user-authentication
Design payment processing service
/sdd-design payment-processing
Design data export feature with Clean Architecture
/sdd-design data-export

name: sdd-design description: Create technical design specifications for SDD workflow. Use when designing architecture, defining components, or creating system design documents after requirements are approved. Invoked via /sdd-design <feature-name>.

SDD Technical Design Generation

Generate comprehensive technical design documents that translate approved requirements into actionable architecture specifications.

Prerequisites

Before generating design:

  1. Requirements must be generated using /sdd-requirements
  2. Requirements phase should be approved (use sdd-approve requirements MCP tool)
  3. Review existing architecture in .spec/steering/tech.md and .spec/steering/structure.md

Workflow

Step 1: Verify Prerequisites

Use sdd-status MCP tool to verify:

  • requirements.generated: true
  • requirements.approved: true (recommended before design)

Step 2: Review Requirements

  1. Read .spec/specs/{feature}/requirements.md
  2. Identify all functional requirements (FR-*)
  3. Identify all non-functional requirements (NFR-*)
  4. Note constraints and assumptions

Step 3: Choose Architecture Pattern

Select appropriate patterns based on requirements:

| Pattern | Use When | Key Characteristics | |---------|----------|---------------------| | Clean Architecture | Domain-heavy apps | Layers: Domain → Use Cases → Interface → Infrastructure | | MVC/MVP | Web applications | Model-View-Controller separation | | Microservices | Distributed systems | Independent deployable services | | Event-Driven | Async processing | Event producers and consumers | | Hexagonal | Testable business logic | Ports and Adapters pattern |

Step 4: Design Components

For each component, specify:

## Component: {ComponentName}

**Type:** Service | Controller | Repository | Adapter | Provider

**Purpose:** {Single responsibility description}

**Responsibilities:**
- {Responsibility 1}
- {Responsibility 2}

**Interface:**
```typescript
interface I{ComponentName} {
  methodName(input: InputType): Promise<OutputType>;
}

Dependencies:

  • {Dependency 1 via interface}
  • {Dependency 2 via interface}

Error Handling:

  • {Error scenario 1}: {How to handle}

### Step 5: Define Data Models

```markdown
## Data Models

### Model: {EntityName}

**Purpose:** {What this entity represents}

| Property | Type | Required | Description | Validation |
|----------|------|----------|-------------|------------|
| id | string | Yes | Unique identifier | UUID format |
| name | string | Yes | Display name | 1-100 chars |
| createdAt | Date | Yes | Creation timestamp | ISO 8601 |

**Relationships:**
- Has many: {RelatedEntity} (one-to-many)
- Belongs to: {ParentEntity} (many-to-one)

**Invariants:**
- {Business rule 1}
- {Business rule 2}

Step 6: Specify Interfaces

## API Interfaces

### REST Endpoints

| Method | Path | Description | Request | Response | Auth |
|--------|------|-------------|---------|----------|------|
| POST | /api/v1/resource | Create resource | CreateDTO | Resource | Bearer |
| GET | /api/v1/resource/:id | Get by ID | - | Resource | Bearer |

### Internal Service Interfaces

Following Interface Segregation Principle:

```typescript
// Read operations
interface IResourceReader {
  getById(id: string): Promise<Resource>;
  list(filter: Filter): Promise<Resource[]>;
}

// Write operations
interface IResourceWriter {
  create(data: CreateDTO): Promise<Resource>;
  update(id: string, data: UpdateDTO): Promise<Resource>;
  delete(id: string): Promise<void>;
}

### Step 7: Document Error Handling

```markdown
## Error Handling Strategy

### Error Categories

| Category | HTTP Status | Retry | Log Level |
|----------|-------------|-------|-----------|
| Validation | 400 | No | WARN |
| Not Found | 404 | No | INFO |
| Conflict | 409 | No | WARN |
| Rate Limit | 429 | Yes (backoff) | WARN |
| Internal | 500 | Yes (limited) | ERROR |

### Error Response Format

```json
{
  "error": {
    "code": "VALIDATION_ERROR",
    "message": "Human-readable message",
    "details": [{ "field": "email", "issue": "Invalid format" }],
    "requestId": "uuid-for-tracing"
  }
}

### Step 8: Apply Linus-Style Quality Review

Before finalizing, validate against these principles:

#### 1. Taste - Is it elegant?
- Does the design feel natural and intuitive?
- Are there unnecessary complications?

#### 2. Complexity - Is it simple?
- Can any component be simplified?
- Are there too many abstractions?

#### 3. Special Cases - Are edge cases handled?
- What happens at boundaries?
- How does it fail gracefully?

#### 4. Data Structures - Are they optimal?
- Is the right data structure chosen?
- Does data flow make sense?

#### 5. Code Organization - Is it maintainable?
- Can new developers understand it?
- Is it easy to modify?

### Step 9: Save and Validate

1. Save design to `.spec/specs/{feature}/design.md`
2. Use `sdd-validate-design` MCP tool for GO/NO-GO review
3. If GO, use `sdd-approve design` MCP tool

## Design Document Template

```markdown
# Design: {Feature Name}

## Overview
{Brief summary of the design approach}

## Architecture Pattern
{Selected pattern and rationale}

## Component Diagram

[Component A] ──> [Component B] │ └──> [Component C]


## Components

### {Component 1}
{Component details as described above}

## Data Models

### {Entity 1}
{Model details as described above}

## Interfaces

### External APIs
{API specifications}

### Internal Interfaces
{Service interfaces}

## Error Handling
{Error strategy}

## Security Considerations
- Authentication: {approach}
- Authorization: {approach}
- Data protection: {approach}

## Testing Strategy
- Unit tests: {coverage target}
- Integration tests: {scope}
- E2E tests: {critical paths}

## Dependencies
- External: {list}
- Internal: {list}

MCP Tool Integration

| Tool | When to Use | |------|-------------| | sdd-status | Verify requirements phase complete | | sdd-validate-design | Perform GO/NO-GO review | | sdd-approve | Mark design phase as approved |

Steering Document References

Apply these steering documents during design:

| Document | Purpose | Key Application | |----------|---------|-----------------| | .spec/steering/principles.md | SOLID, DRY, KISS, YAGNI | Apply SOLID principles to component design, ensure interfaces follow ISP and DIP | | .spec/steering/linus-review.md | Code quality, data structures | Focus on data structures first, eliminate special cases, ensure backward compatibility |

Key Linus Principles for Design:

  1. Data Structures First: "Bad programmers worry about the code. Good programmers worry about data structures."
  2. Eliminate Special Cases: "Good code has no special cases"
  3. Simplicity: "If implementation needs more than 3 levels of indentation, redesign it"
  4. Never Break Userspace: Ensure backward compatibility

Quality Checklist

  • [ ] All FR-* requirements have corresponding components
  • [ ] All NFR-* requirements have technical solutions
  • [ ] SOLID principles are followed
  • [ ] Interfaces are well-defined (ISP)
  • [ ] Dependencies flow inward (DIP)
  • [ ] Data models are complete with invariants
  • [ ] Error handling strategy is comprehensive
  • [ ] Security considerations are addressed
  • [ ] Testing approach is specified
  • [ ] Linus-style review passed
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