Results for “api-standards”

Use when designing, implementing, or reviewing APIs to ensure consistent, reliable, and developer-friendly interfaces. This skill provides standardized API design principles and patterns across all companies and services.

Defines RESTful API design conventions including URL structure, status codes, error formats, pagination, versioning, rate limiting, CORS, validation, and OpenAPI documentation.

Comprehensive API design patterns covering REST, GraphQL, gRPC, versioning, authentication, and modern API best practices

Design consistent, developer-friendly REST APIs with conventions for resource naming, HTTP methods, status codes, pagination, filtering, error responses, versioning, and rate limiting.

REST API设计模式，包括资源命名、状态码、分页、过滤、错误响应、版本控制和生产API的速率限制。

Integrate with external APIs using REST clients, webhook consumers, SDK wrappers, and polling patterns with proper authentication, error handling, and retry logic. Use when the user requests api integration or provides relevant inputs for this workflow.

Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.

Design REST and GraphQL APIs with OpenAPI 3.1 specifications, resource modeling, versioning strategies, pagination patterns, and error handling standards.

API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.

API Reference API skill. Use when working with API Reference for api. Covers 215 endpoints.

Reviews REST API designs for conventions, breaking changes, and quality using automated linting and scoring tools.

API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.

FastAPI 模式——异步 API、依赖注入、Pydantic 请求/响应模型、OpenAPI 文档、中间件及测试

API design specialist for REST, GraphQL, gRPC, versioning strategies, and developer experienceUse when "api design, rest, graphql, grpc, openapi, swagger, versioning, pagination, rate limiting, endpoint, api, rest, graphql, grpc, openapi, swagger, versioning, pagination, rate-limiting, ml-memory" mentioned.

API v1.0.0 API skill. Use when working with API v1.0.0 for api. Covers 61 endpoints.

Provides RESTful API design patterns and best practices for creating endpoints, designing APIs, and implementing routes.

API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.

REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.

API service-layer patterns — axios/fetch client with interceptors, domain-scoped service objects (UserService, ProductService), auth-token refresh, request cancellation, and error normalisation. Use when adding or reviewing HTTP call sites, organising services under api/ or services/, or centralising cross-cutting request concerns.

API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.

Trigger: REST API, GraphQL schemas, HTTP methods, RFC 7807, endpoint structure, API contracts. Scope: API schema design, error models, request/response structures. Boundary: Excludes client-side visual layouts.

Use when the team needs API routes, action contracts, request and response shapes, error handling, pagination, or webhook patterns for a backend or BFF. Trigger on requests to design APIs before implementation.

API Design — Forge Skill

REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.

API Test Suite Builder

Design API contracts from product flows and backend responsibilities. Use when the team needs resource models, action endpoints, request and response shapes, error handling, pagination rules, and contract clarity before implementation begins.

Apply opinionated, production-grade Python design and review standards. Use for substantial Python implementation, refactoring, API design, module design, exception boundaries, interfaces, or a deep code-quality review; not for a quick standalone script.