api-patterns
REST API design patterns including resource naming, HTTP methods, status codes, versioning, pagination, and response formats. Use when designing or implementing APIs.
When & Why to Use This Skill
This Claude skill provides expert guidance on modern API design patterns, enabling developers to architect scalable and maintainable interfaces. It facilitates critical decision-making between REST, GraphQL, and tRPC protocols while ensuring industry best practices for resource naming, versioning, pagination, and security are strictly followed.
Use Cases
- Architectural Decision Making: Evaluating project requirements to choose the most suitable API style (REST, GraphQL, or tRPC) for specific use cases and client needs.
- Standardizing Response Structures: Implementing consistent envelope patterns, error formats, and pagination strategies across microservices to improve developer experience.
- API Lifecycle & Evolution: Planning robust versioning strategies (URI, Header, or Query) and documentation workflows using OpenAPI/Swagger to ensure long-term maintainability.
- Security & Performance Optimization: Designing secure authentication patterns (JWT, OAuth) and implementing rate-limiting mechanisms like token buckets to protect API integrity.
| name | api-patterns |
|---|---|
| description | API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination. |
| allowed-tools | Read, Write, Edit, Glob, Grep |
API Patterns
API design principles and decision-making for 2025. Learn to THINK, not copy fixed patterns.
🎯 Selective Reading Rule
Read ONLY files relevant to the request! Check the content map, find what you need.
📑 Content Map
| File | Description | When to Read |
|---|---|---|
api-style.md |
REST vs GraphQL vs tRPC decision tree | Choosing API type |
rest.md |
Resource naming, HTTP methods, status codes | Designing REST API |
response.md |
Envelope pattern, error format, pagination | Response structure |
graphql.md |
Schema design, when to use, security | Considering GraphQL |
trpc.md |
TypeScript monorepo, type safety | TS fullstack projects |
versioning.md |
URI/Header/Query versioning | API evolution planning |
auth.md |
JWT, OAuth, Passkey, API Keys | Auth pattern selection |
rate-limiting.md |
Token bucket, sliding window | API protection |
documentation.md |
OpenAPI/Swagger best practices | Documentation |
security-testing.md |
OWASP API Top 10, auth/authz testing | Security audits |
🔗 Related Skills
| Need | Skill |
|---|---|
| API implementation | @[skills/backend-development] |
| Data structure | @[skills/database-design] |
| Security details | @[skills/security-hardening] |
✅ Decision Checklist
Before designing an API:
- Asked user about API consumers?
- Chosen API style for THIS context? (REST/GraphQL/tRPC)
- Defined consistent response format?
- Planned versioning strategy?
- Considered authentication needs?
- Planned rate limiting?
- Documentation approach defined?
❌ Anti-Patterns
DON'T:
- Default to REST for everything
- Use verbs in REST endpoints (/getUsers)
- Return inconsistent response formats
- Expose internal errors to clients
- Skip rate limiting
DO:
- Choose API style based on context
- Ask about client requirements
- Document thoroughly
- Use appropriate status codes
Script
| Script | Purpose | Command |
|---|---|---|
scripts/api_validator.py |
API endpoint validation | python scripts/api_validator.py <project_path> |