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api-design-reviewer

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Comprehensive REST API design review with automated linting, breaking-change detection, and design scorecards. Catches inconsistent conventions, missing versioning, and design smells before APIs ship. Use when reviewing a PR that adds or changes API endpoints, auditing an existing API for v2 migration, or establishing API standards for a team.

Designscripts

What this skill does


# API Design Reviewer

**Tier:** POWERFUL  
**Category:** Engineering / Architecture  
**Maintainer:** Claude Skills Team  

## Overview

The API Design Reviewer skill provides comprehensive analysis and review of API designs, focusing on REST conventions, best practices, and industry standards. This skill helps engineering teams build consistent, maintainable, and well-designed APIs through automated linting, breaking change detection, and design scorecards.

## Core Capabilities

### 1. API Linting and Convention Analysis
- **Resource Naming Conventions**: Enforces kebab-case for resources, camelCase for fields
- **HTTP Method Usage**: Validates proper use of GET, POST, PUT, PATCH, DELETE
- **URL Structure**: Analyzes endpoint patterns for consistency and RESTful design
- **Status Code Compliance**: Ensures appropriate HTTP status codes are used
- **Error Response Formats**: Validates consistent error response structures
- **Documentation Coverage**: Checks for missing descriptions and documentation gaps

### 2. Breaking Change Detection
- **Endpoint Removal**: Detects removed or deprecated endpoints
- **Response Shape Changes**: Identifies modifications to response structures
- **Field Removal**: Tracks removed or renamed fields in API responses
- **Type Changes**: Catches field type modifications that could break clients
- **Required Field Additions**: Flags new required fields that could break existing integrations
- **Status Code Changes**: Detects changes to expected status codes

### 3. API Design Scoring and Assessment
- **Consistency Analysis** (30%): Evaluates naming conventions, response patterns, and structural consistency
- **Documentation Quality** (20%): Assesses completeness and clarity of API documentation
- **Security Implementation** (20%): Reviews authentication, authorization, and security headers
- **Usability Design** (15%): Analyzes ease of use, discoverability, and developer experience
- **Performance Patterns** (15%): Evaluates caching, pagination, and efficiency patterns

## REST Design Principles

### Resource Naming Conventions
```
✅ Good Examples:
- /api/v1/users
- /api/v1/user-profiles
- /api/v1/orders/123/line-items

❌ Bad Examples:
- /api/v1/getUsers
- /api/v1/user_profiles
- /api/v1/orders/123/lineItems
```

### HTTP Method Usage
- **GET**: Retrieve resources (safe, idempotent)
- **POST**: Create new resources (not idempotent)
- **PUT**: Replace entire resources (idempotent)
- **PATCH**: Partial resource updates (not necessarily idempotent)
- **DELETE**: Remove resources (idempotent)

### URL Structure Best Practices
```
Collection Resources: /api/v1/users
Individual Resources: /api/v1/users/123
Nested Resources: /api/v1/users/123/orders
Actions: /api/v1/users/123/activate (POST)
Filtering: /api/v1/users?status=active&role=admin
```

## Versioning Strategies

### 1. URL Versioning (Recommended)
```
/api/v1/users
/api/v2/users
```
**Pros**: Clear, explicit, easy to route  
**Cons**: URL proliferation, caching complexity

### 2. Header Versioning
```
GET /api/users
Accept: application/vnd.api+json;version=1
```
**Pros**: Clean URLs, content negotiation  
**Cons**: Less visible, harder to test manually

### 3. Media Type Versioning
```
GET /api/users
Accept: application/vnd.myapi.v1+json
```
**Pros**: RESTful, supports multiple representations  
**Cons**: Complex, harder to implement

### 4. Query Parameter Versioning
```
/api/users?version=1
```
**Pros**: Simple to implement  
**Cons**: Not RESTful, can be ignored

## Pagination Patterns

### Offset-Based Pagination
```json
{
  "data": [...],
  "pagination": {
    "offset": 20,
    "limit": 10,
    "total": 150,
    "hasMore": true
  }
}
```

### Cursor-Based Pagination
```json
{
  "data": [...],
  "pagination": {
    "nextCursor": "eyJpZCI6MTIzfQ==",
    "hasMore": true
  }
}
```

### Page-Based Pagination
```json
{
  "data": [...],
  "pagination": {
    "page": 3,
    "pageSize": 10,
    "totalPages": 15,
    "totalItems": 150
  }
}
```

## Error Response Formats

### Standard Error Structure
```json
{
  "error": {
    "code": "VALIDATION_ERROR",
    "message": "The request contains invalid parameters",
    "details": [
      {
        "field": "email",
        "code": "INVALID_FORMAT",
        "message": "Email address is not valid"
      }
    ],
    "requestId": "req-123456",
    "timestamp": "2024-02-16T13:00:00Z"
  }
}
```

### HTTP Status Code Usage
- **400 Bad Request**: Invalid request syntax or parameters
- **401 Unauthorized**: Authentication required
- **403 Forbidden**: Access denied (authenticated but not authorized)
- **404 Not Found**: Resource not found
- **409 Conflict**: Resource conflict (duplicate, version mismatch)
- **422 Unprocessable Entity**: Valid syntax but semantic errors
- **429 Too Many Requests**: Rate limit exceeded
- **500 Internal Server Error**: Unexpected server error

## Authentication and Authorization Patterns

### Bearer Token Authentication
```
Authorization: Bearer <token>
```

### API Key Authentication
```
X-API-Key: <api-key>
Authorization: Api-Key <api-key>
```

### OAuth 2.0 Flow
```
Authorization: Bearer <oauth-access-token>
```

### Role-Based Access Control (RBAC)
```json
{
  "user": {
    "id": "123",
    "roles": ["admin", "editor"],
    "permissions": ["read:users", "write:orders"]
  }
}
```

## Rate Limiting Implementation

### Headers
```
X-RateLimit-Limit: 1000
X-RateLimit-Remaining: 999
X-RateLimit-Reset: 1640995200
```

### Response on Limit Exceeded
```json
{
  "error": {
    "code": "RATE_LIMIT_EXCEEDED",
    "message": "Too many requests",
    "retryAfter": 3600
  }
}
```

## HATEOAS (Hypermedia as the Engine of Application State)

### Example Implementation
```json
{
  "id": "123",
  "name": "John Doe",
  "email": "[email protected]",
  "_links": {
    "self": { "href": "/api/v1/users/123" },
    "orders": { "href": "/api/v1/users/123/orders" },
    "profile": { "href": "/api/v1/users/123/profile" },
    "deactivate": { 
      "href": "/api/v1/users/123/deactivate",
      "method": "POST"
    }
  }
}
```

## Idempotency

### Idempotent Methods
- **GET**: Always safe and idempotent
- **PUT**: Should be idempotent (replace entire resource)
- **DELETE**: Should be idempotent (same result)
- **PATCH**: May or may not be idempotent

### Idempotency Keys
```
POST /api/v1/payments
Idempotency-Key: 123e4567-e89b-12d3-a456-426614174000
```

## Backward Compatibility Guidelines

### Safe Changes (Non-Breaking)
- Adding optional fields to requests
- Adding fields to responses
- Adding new endpoints
- Making required fields optional
- Adding new enum values (with graceful handling)

### Breaking Changes (Require Version Bump)
- Removing fields from responses
- Making optional fields required
- Changing field types
- Removing endpoints
- Changing URL structures
- Modifying error response formats

## OpenAPI/Swagger Validation

### Required Components
- **API Information**: Title, description, version
- **Server Information**: Base URLs and descriptions
- **Path Definitions**: All endpoints with methods
- **Parameter Definitions**: Query, path, header parameters
- **Request/Response Schemas**: Complete data models
- **Security Definitions**: Authentication schemes
- **Error Responses**: Standard error formats

### Best Practices
- Use consistent naming conventions
- Provide detailed descriptions for all components
- Include examples for complex objects
- Define reusable components and schemas
- Validate against OpenAPI specification

## Performance Considerations

### Caching Strategies
```
Cache-Control: public, max-age=3600
ETag: "123456789"
Last-Modified: Wed, 21 Oct 2015 07:28:00 GMT
```

### Efficient Data Transfer
- Use appropriate HTTP methods
- Implement field selection (`?fields=id,name,email`)
- Support compression (gzip)
- Implement efficient pagination
- Use ETags for conditional requests

### Resource Optimization
- Avoid N+1 queries
- Implement batch operations
- Use async processing for heavy operation

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