设计与多媒体

api-development

试用

Meta-skill that orchestrates the full API development lifecycle — from design through documentation — by coordinating specialized skills, agents, and commands into a seamless build workflow.

它能做什么

Orchestrate the full API development lifecycle by coordinating design, implementation, testing, and documentation into a single workflow.

技能文档

API Development

Orchestrate the full API development lifecycle by coordinating design, implementation, testing, and documentation into a single workflow.

When to Use This Skill

  • Building a new API from scratch
  • Adding endpoints to an existing API
  • Redesigning or refactoring an API
  • Planning API versioning and migration
  • Running a complete API development cycle (design → build → test → document → deploy)

Orchestration Flow

Follow these steps in order. Each step routes to the appropriate skill or tool.

1. Design the API

Load the api-design skill to establish resource models, URL structure, HTTP method semantics, error formats, and pagination strategy.

Deliverables: Resource list, endpoint map, request/response schemas, error format

2. Generate OpenAPI Spec

Produce a machine-readable OpenAPI 3.x specification from the design. Use the OpenAPI template in api-design/assets/openapi-template.yaml as a starting point.

Deliverables: openapi.yaml with all endpoints, schemas, auth schemes, and examples

3. Scaffold Endpoints

Generate route files, request/response types, and validation schemas for each endpoint. Group routes by resource.

Deliverables: Route files, type definitions, validation schemas per resource

4. Implement Business Logic

Write service-layer logic with input validation, authorization checks, database queries, and proper error propagation. Keep controllers thin — business logic lives in the service layer.

Deliverables: Service modules, repository layer, middleware (auth, rate limiting, CORS)

5. Test

Write tests at three levels:

  • Unit tests — service logic, validation, error handling
  • Integration tests — endpoint behavior with real DB
  • Contract tests — response shapes match OpenAPI spec

Deliverables: Test suite with coverage for happy paths, error cases, edge cases, and auth

6. Document

Generate human-readable API documentation with usage examples and SDK snippets. Ensure every endpoint has description, parameters, request/response examples, and error codes.

Deliverables: API docs, changelog, authentication guide

7. Version and Deploy

Apply a versioning strategy, tag the release, update changelogs, and deploy through the pipeline. Follow the api-versioning skill for deprecation and migration guidance.

Deliverables: Version tag, changelog entry, deployment confirmation


API Design Decision Table

Choose the right paradigm for your use case.

CriteriaRESTGraphQLgRPC
Best forCRUD-heavy public APIsComplex relational data, client-driven queriesInternal microservices, high-throughput
Data fetchingFixed response shape per endpointClient specifies exact fieldsStrongly typed protobuf messages
Over/under-fetchingCommon problemSolved by designMinimal — schema is explicit
CachingNative HTTP caching (ETags, Cache-Control)Requires custom cachingNo built-in HTTP caching
Real-timePolling or WebSocketsSubscriptions (built-in)Bidirectional streaming
ToolingMature — OpenAPI, Postman, curlGrowing — Apollo, Relay, GraphiQLMature — protoc, grpcurl, Buf
Learning curveLowMediumMedium-High
VersioningURL or header versioningSchema evolution with @deprecatedPackage versioning in .proto

Rule of thumb: Default to REST for public APIs. Use GraphQL when clients need flexible queries across related data. Use gRPC for internal service-to-service communication.


API Checklist

Run through this checklist before marking any API work as complete.

Authentication & Authorization

  • Authentication mechanism chosen (JWT, OAuth2, API key)
  • Authorization rules enforced at every endpoint
  • Tokens validated and scoped correctly
  • Secrets stored securely (never in code or logs)

Rate Limiting

  • Rate limits configured per endpoint or consumer tier
  • RateLimit-* headers included in responses
  • 429 Too Many Requests returned with Retry-After header
  • Rate limit strategy documented for consumers

Pagination

  • All collection endpoints paginated
  • Pagination style chosen (cursor-based or offset-based)
  • page_size bounded with a sensible maximum
  • Total count or hasNextPage indicator included

Filtering & Sorting

  • Filter parameters validated and sanitized
  • Sort fields allow-listed (no arbitrary column sorting)
  • Default sort order defined and documented

Error Handling

  • Consistent error response schema across all endpoints
  • Correct HTTP status codes (4xx for client, 5xx for server)
  • Validation errors return field-level detail
  • Internal errors never leak stack traces or sensitive data

Versioning

  • Versioning strategy selected and applied uniformly
  • Breaking vs non-breaking change policy documented
  • Deprecation timeline communicated via Sunset header

CORS

  • Allowed origins configured (no wildcard * in production with credentials)
  • Allowed methods and headers explicitly listed
  • Preflight (OPTIONS) requests handled correctly

Documentation

  • OpenAPI / Swagger spec generated and up to date
  • Every endpoint has description, parameters, and example responses
  • Authentication requirements documented
  • Error codes and meanings listed
  • Changelog maintained for each version

Security

  • Input validation on all fields
  • SQL injection prevention
  • HTTPS enforced
  • Sensitive data never in URLs or logs
  • CORS configured correctly

Monitoring

  • Structured logging with request IDs
  • Error tracking configured (Sentry, Datadog, etc.)
  • Performance metrics collected (latency, error rate)
  • Health check endpoint available (/health)
  • Alerts configured for error rate spikes

Skill Routing Table

NeedSkillPurpose
API design principlesapi-designResource modeling, HTTP semantics, pagination, error formats
Versioning strategyapi-versioningVersion lifecycle, deprecation, migration patterns
Authenticationauth-patternsJWT, OAuth2, sessions, RBAC, MFA
Error handlingerror-handlingError types, retry patterns, circuit breakers, HTTP errors
Rate limitingrate-limitingAlgorithms, HTTP headers, tiered limits, distributed limiting
CachingcachingCache strategies, HTTP caching, invalidation, Redis patterns
Database migrationsdatabase-migrationsSchema evolution, zero-downtime patterns, rollback strategies

NEVER Do

  1. NEVER skip the design phase — jumping straight to code produces inconsistent APIs that are expensive to fix
  2. NEVER expose database schema directly — API resources are not database tables; design around consumer use cases
  3. NEVER ship without authentication — every production endpoint must have an auth strategy
  4. NEVER return inconsistent error formats — every error response must follow the same schema
  5. NEVER break a published API without a versioning plan — breaking changes require a new version, migration guide, and deprecation timeline
  6. NEVER deploy without tests and documentation — untested APIs ship bugs, undocumented APIs frustrate developers

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