Overview
This SKILL provides a comprehensive guide for designing, documenting, and implementing modern APIs. It covers both REST and GraphQL paradigms, emphasizing industry best practices, clear documentation, and maintainable architecture. Use this SKILL for scalable, secure, and developer-friendly production-ready API design.
Core Capabilities
REST API Design
- Design resource-oriented endpoints with proper URL structure
- HTTP method semantics and status code usage
- Design request/response payloads with consistent naming conventions
- Pagination, filtering, and sorting strategies
- Error handling and validation patterns
GraphQL API Design
- Define schemas including type systems and relationships
- Design queries and mutations using appropriate input types
- Resolver patterns and performance optimization
- Fragment usage and directive implementation
- Strategies to prevent the N+1 problem
API Documentation
- Generate OpenAPI 3.0 specifications
- Interactive documentation via Swagger UI
- Document authentication and authorization
- Example requests/responses covering various scenarios
- Generate code from specifications
Authentication & Authorization
- OAuth 2.0 flow (authorization code, client credentials, PKCE)
- JWT token design, validation, and rotation
- API key management and rotation strategies
- Implement role-based access control (RBAC)
- Rate limiting and throttling patterns
API Versioning
- URL versioning and header-based versioning strategies
- Semantic versioning for API releases
- Deprecation planning and communication
- Maintain backward compatibility
- Design migration paths
When to Use This Skill
Use this SKILL in the following cases:
- When designing a new API from scratch or refactoring existing endpoints
- When generating OpenAPI/Swagger specifications for documentation
- When implementing authentication and authorization flows
- When planning API versioning and deprecation strategies
- When designing GraphQL schemas and resolvers
- When establishing API governance and best practices
REST API Design Workflow
Step 1: Identify Resources
Identify the core resources (nouns) that the API will expose:
Resources: Users, Posts, Comments
Collections:
- GET /users (모든 사용자 목록 조회)
- POST /users (새 사용자 생성)
Individual Resources:
- GET /users/{id} (특정 사용자 조회)
- PUT /users/{id} (사용자 교체 - 전체 업데이트)
- PATCH /users/{id} (사용자 업데이트 - 일부 업데이트)
- DELETE /users/{id} (사용자 삭제)
Nested Resources:
- GET /users/{id}/posts (사용자의 포스트 조회)
- POST /users/{id}/posts (사용자를 위한 포스트 생성)
Step 2: Design URL Structure
Follow RESTful naming conventions:
Best Practices:
- Use plural nouns:
/users,/posts(/user,/postnot) - Use hyphens for multiple words:
/blog-posts(/blogPostsor/blog_postsnot) - Keep URLs lowercase
- Limit nesting to a maximum of 2 levels
- Use query parameters for filtering:
/posts?status=published&author=123
Quick Examples:
✅ Good:
GET /users
GET /users/123/posts
GET /posts?published=true&limit=10
❌ Bad:
GET /getUsers
GET /users/123/posts/comments/likes (너무 깊은 nesting)
GET /posts/published (대신 query param 사용)
Step 3: Choose HTTP Methods
Map operations to standard HTTP methods:
- GET: Retrieve resources - Safe, idempotent, cacheable
- POST: Create a new resource - Return 201 Created with a Location header
- PUT: Replace the entire resource - Idempotent, full replacement
- PATCH: Partial update - update only specific fields
- DELETE: Resource removal - Idempotent, returns 204 or 200
Step 4: Design Request/Response Payloads
Structure JSON payloads consistently:
Naming Conventions:
- Use camelCase for JSON field names
- Use ISO 8601 for timestamps (UTC)
- Use a consistent ID format with a prefix:
usr_,post_ - Include metadata:
createdAt,updatedAt
Example Response:
{
"id": "usr_1234567890",
"username": "johndoe",
"email": "john@example.com",
"profile": {
"firstName": "John",
"lastName": "Doe"
},
"createdAt": "2025-10-25T10:30:00Z",
"updatedAt": "2025-10-25T10:30:00Z"
}
Step 5: Implement Error Handling
Design comprehensive error responses:
Error Response Format:
{
"error": {
"code": "VALIDATION_ERROR",
"message": "Invalid request parameters",
"details": [
{
"field": "email",
"message": "Email format is invalid"
}
],
"requestId": "req_abc123xyz",
"timestamp": "2025-10-25T10:30:00Z"
}
}
Key Status Codes:
200 OK: Successful GET, PUT, PATCH201 Created: Successful POST204 No Content: Successful DELETE400 Bad Request: Invalid request data401 Unauthorized: Missing/invalid authentication credentials403 Forbidden: Authenticated but not authorized404 Not Found: Resource does not exist422 Unprocessable Entity: Validation error429 Too Many Requests: Rate limit exceeded500 Internal Server Error: Server error
Step 6: Add Pagination and Filtering
Cursor-Based Pagination (recommended for large datasets):
GET /posts?limit=20&cursor=eyJpZCI6MTIzfQ
Response:
{
"data": [...],
"pagination": {
"nextCursor": "eyJpZCI6MTQzfQ",
"hasMore": true
}
}
Offset-Based Pagination (suitable for small datasets):
GET /posts?limit=20&offset=40&sort=-createdAt
Response:
{
"data": [...],
"pagination": {
"total": 500,
"limit": 20,
"offset": 40
}
}
For detailed pagination strategies and filtering patterns, see references/rest_best_practices.md.
GraphQL API Design Workflow
Step 1: Define Schema Types
Generate type definitions for the domain:
type User {
id: ID!
username: String!
email: String!
profile: Profile
posts(limit: Int = 10): [Post!]!
createdAt: DateTime!
}
type Post {
id: ID!
title: String!
content: String!
published: Boolean!
author: User!
tags: [String!]!
createdAt: DateTime!
}
Step 2: Design Queries
Define query operations including filtering:
type Query {
user(id: ID!): User
post(id: ID!): Post
users(
limit: Int = 10
offset: Int = 0
search: String
): UserConnection!
posts(
limit: Int = 10
published: Boolean
authorId: ID
tags: [String!]
): PostConnection!
}
Step 3: Design Mutations
Define write operations including input types and error handling:
type Mutation {
createUser(input: CreateUserInput!): CreateUserPayload!
updateUser(id: ID!, input: UpdateUserInput!): UpdateUserPayload!
createPost(input: CreatePostInput!): CreatePostPayload!
}
input CreateUserInput {
username: String!
email: String!
password: String!
}
type CreateUserPayload {
user: User
errors: [Error!]
}
For a complete GraphQL schema example, see examples/graphql_schema.graphql.
Authentication Patterns
OAuth 2.0 Quick Reference
Authorization Code Flow (web app with a backend):
1. client_id, redirect_uri, scope와 함께 /oauth/authorize로 리다이렉트
2. 사용자가 인증하고 권한 부여
3. 리다이렉트를 통해 authorization code 수신
4. /oauth/token에서 코드를 access token으로 교환
5. Authorization header에 access token 사용
Client Credentials Flow (service-to-service communication):
POST /oauth/token
{
"grant_type": "client_credentials",
"client_id": "CLIENT_ID",
"client_secret": "SECRET"
}
PKCE Flow (mobile/SPA - safest for public clients):
1. code_verifier 및 code_challenge 생성
2. code_challenge와 함께 권한 요청
3. code_verifier로 코드를 토큰으로 교환 (client_secret 불필요)
JWT Token Design
Token Structure:
{
"header": { "alg": "RS256", "typ": "JWT" },
"payload": {
"sub": "usr_1234567890",
"iat": 1698336000,
"exp": 1698339600,
"scope": ["read:posts", "write:posts"],
"roles": ["user", "editor"]
}
}
Usage:
Authorization: Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9...
API Key Authentication
X-API-Key: sk_live_abcdef1234567890
Best Practices:
- Use different keys per environment (dev, staging, prod)
- Support multiple keys per account for rotation
- Implement key expiration and usage logs
- Do not expose keys in client-side code
For comprehensive authentication patterns including refresh tokens, MFA, and security best practices, see references/authentication.md.
API Versioning Strategies
URL Versioning (recommended)
/v1/users
/v2/users
Pros: Clear and explicit, easy caching and routing Cons: URL proliferation, managing multiple codebases
Header Versioning
Accept: application/vnd.myapi.v2+json
API-Version: 2
Pros: Clean URLs, maintain the same endpoint Cons: Less visible, harder to test in the browser
When to Version
When a new version is needed:
- Deleting an endpoint or field
- Changing a field type or name
- Modifying the authentication method
- Violating an existing client contract
When versioning is not needed:
- Adding a new optional field
- Adding a new endpoint
- Bug fixes or performance improvements
For detailed versioning strategies, deprecation processes, and migration patterns, see references/versioning-strategies.md.
OpenAPI Specification
Basic Structure
openapi: 3.0.0
info:
title: My API
version: 1.0.0
description: API description
servers:
- url: https://api.example.com/v1
paths:
/users:
get:
summary: List users
parameters:
- name: limit
in: query
schema:
type: integer
default: 10
responses:
'200':
description: Successful response
content:
application/json:
schema:
$ref: '#/components/schemas/UserList'
components:
schemas:
User:
type: object
required:
- username
- email
properties:
id:
type: string
username:
type: string
email:
type: string
format: email
For a complete OpenAPI specification example, see examples/openapi_spec.yaml.
Generating Documentation
Generate and validate the specification using the helper script:
# 코드에서 OpenAPI 사양 생성
python scripts/api_helper.py generate --input api.py --output openapi.yaml
# 기존 사양 검증
python scripts/api_helper.py validate --spec openapi.yaml
# 문서 사이트 생성
python scripts/api_helper.py docs --spec openapi.yaml --output docs/
Best Practices Summary
Consistency
- Use consistent naming conventions across all endpoints
- Standardize the error response format
- Apply the same authentication pattern everywhere
- Use a unified timestamp format (ISO 8601 with UTC)
Security
- Always use HTTPS in Production
- Thoroughly validate all input data
- Implement Rate limiting per user/key/IP
- Use appropriate authentication for all endpoints
- Do not expose sensitive data in URLs or logs
- Implement proper CORS configuration
Performance
- Use Pagination for large datasets
- Implement caching headers (ETag, Cache-Control)
- Support compression (gzip)
- Use Cursor-based pagination for real-time data
- Implement field selection (Field selection) for Sparse fieldsets
Documentation
- Document all endpoints with OpenAPI
- Provide Example requests and responses
- Document error codes and their meanings
- Include authentication guidance
- Keep documentation in sync with the code
Maintainability
- Properly version the API with a clear deprecation schedule
- Provide deprecation warnings before removing features
- Write integration tests for all endpoints
- Monitor API usage, errors, and performance
- Maintain Backward compatibility where possible
Common Patterns
Health Check
GET /health
Response: { "status": "ok", "timestamp": "2025-10-25T10:30:00Z" }
Batch Operations
POST /users/batch
{
"operations": [
{ "method": "POST", "path": "/users", "body": {...} },
{ "method": "PATCH", "path": "/users/123", "body": {...} }
]
}
Webhooks
POST /webhooks/configure
{
"url": "https://your-app.com/webhook",
"events": ["user.created", "post.published"],
"secret": "webhook_secret_key"
}
For additional patterns including Idempotency, long-running operations, file uploads, and soft deletes, see references/common-patterns.md.
Quick Reference Checklists
REST Endpoint Design
- Use plural nouns for collections
- Limit URL nesting to 2 levels
- Use appropriate HTTP methods
- Return accurate status codes
- Implement a consistent error format
- Add Pagination to collections
- Include Filtering and sorting
- Document with OpenAPI
- Implement Authentication
- Add Rate limiting
GraphQL Schema Design
- Define a clear type hierarchy
- Use Nullable types appropriately
- Implement Pagination (connections)
- Design mutations using Input types
- Return errors in the Payload
- Document the schema with descriptions (Description)
- Implement Authentication/authorization
- Optimize N+1 queries (DataLoader)
Additional Resources
Comprehensive References
references/rest_best_practices.md- Full REST API patterns, status codes, and implementation detailsreferences/authentication.md- OAuth 2.0, JWT, API keys, MFA, and security best practicesreferences/versioning-strategies.md- Versioning approaches, deprecation, and migration strategiesreferences/common-patterns.md- Health check, webhooks, batch operations 등
Examples
examples/openapi_spec.yaml- Full OpenAPI 3.0 specification for the blog APIexamples/graphql_schema.graphql- Full GraphQL schema including queries, mutations, and subscriptions
Tools
scripts/api_helper.py- Utilities for generating, validating, and documenting API specifications