Design and generate Kotlin Spring HTTP APIs with correct controller signatures, DTOs, validation, serialization assumptions, error handling, and web tests.
Design and generate Kotlin Spring HTTP APIs with correct controller signatures, DTOs, validation, serialization assumptions, error handling, and web tests.
Use when building or changing REST endpoints, choosing between MVC and WebFlux, modeling request and response payloads, standardizing error responses, or avoiding Kotlin-specific validation and Jackson mistakes.
Similar popular skills
Related neighbors and high-traction skills in the same topics — useful to compare before installing.
Files included with this skill beyond the listing page.
skill mdSKILL.md5,996 B
docsSUMMARY.md405 B
History
First seen on skills.sh
First recorded snapshot · 28 installs
SKILL.md
Spring MVC WebFlux API Builder
Source mapping: Tier 1 critical skill derived from KotlinSpringDeveloper_Pipeline.md (SK-06).
Mission
Produce API code that is not only plausible but correct for the repository's actual Spring stack. Generate endpoints, DTOs, validation, and test scaffolding as one coherent unit.
Decide The Stack First
Verify whether the module is Spring MVC or WebFlux.
Verify whether controllers are blocking, coroutine-based, or Reactor-based.
Verify the project's existing error format, serialization rules, and OpenAPI approach.
Reuse project-context-ingestion output if it already established these facts.
Design The Contract Before Writing Code
Define the endpoint path, method, authentication expectation, idempotency rule, and status codes.
Define request and response DTO boundaries. Do not expose entities directly.
Define the error model for validation failures, business conflicts, not found, and unexpected errors.
Define pagination, sorting, and correlation-id behavior if applicable.
Define whether null, missing, and defaulted fields have distinct semantics.
Generate In This Order
Request and response DTOs.
Validation annotations with correct Kotlin @field: use-site targets.
Controller signature.
Service interface or use-case boundary.
Mapping or translation code between transport and domain models.
Error handling via @ControllerAdvice or the project's equivalent.
One focused web-layer test proving the contract.
Kotlin-Specific Rules
Use @field: targets for Jakarta Bean Validation annotations on constructor properties.
Be explicit about nullable versus required fields.
Treat null versus absent as a contract decision, especially for PATCH-like behavior.
Verify jackson-module-kotlin or equivalent serialization support before relying on Kotlin constructor defaults.
Prefer immutable DTOs with val properties unless the project clearly uses a different pattern.
MVC And WebFlux Rules
Do not mix MVC and WebFlux styles in the same generated endpoint unless the repository already does so intentionally.
For MVC, prefer ordinary return types and blocking service boundaries.
For WebFlux with coroutines, prefer suspend functions and Flow<T> when streaming is required.
For Reactor-based code, follow the project's existing Mono and Flux conventions instead of inventing a hybrid style.
Advanced Contract Decisions
Prefer stable machine-readable error codes in the payload even when human-readable messages change.
Choose 400 versus 422 deliberately. Validation and malformed input are not the same as a domain rule violation.
For create endpoints, decide whether 201 Created plus Location is part of the contract. Do not default to 200 just because it is easy.
For update endpoints, consider optimistic concurrency signals such as version fields or ETag and If-Match when concurrent edits matter.
For PATCH semantics, model three states explicitly when needed: absent, present with value, and present with null. Plain nullable Kotlin fields do not always represent all three.
Avoid exposing Spring-specific transport types like Page directly as the public API contract unless the service already standardized on that decision.
Be explicit about date-time, enum, and value-class serialization. Default serializer behavior often drifts across versions and clients.
In streaming endpoints, consider cancellation, backpressure, and partial-write behavior, not only the method signature.
Expert Heuristics
Design the error contract and validation contract before controller code. Retrofitting them later causes the most API churn.
Keep transport DTOs narrow and explicit. Reusing internal domain models usually saves time once and costs time forever.
If the service is public or long-lived, optimize for backward-compatible contract evolution: additive fields, stable codes, and deliberate deprecations.
Put correlation-id propagation in filters or interceptors when possible, not in every controller method.
Output Contract
Return either a ready-to-apply patch plan or concrete files or code blocks containing:
request DTO
response DTO
controller
service interface or use-case entry point
exception mapping or advice updates
web-layer test
Also return a short explanation of the API contract decisions that materially affect compatibility.
Guardrails
Do not leak internal exception details in API errors.
Do not use validation annotations on the wrong target in Kotlin.
Do not expose persistence entities on the wire.
Do not assume default HTTP codes without checking the contract.
Do not silently pick MVC when the module is WebFlux, or the reverse.
Verification Checklist
The endpoint compiles against the actual Spring stack in the repository.
Validation triggers for invalid input and returns the expected error shape.
Success and at least one failure path are covered by a web-layer test.
Serialization rules match the existing project conventions.
Quality Bar
A good run of this skill gives the user an endpoint that compiles, validates, serializes, and fails consistently. A bad run mixes frameworks, gets Kotlin validation wrong, or invents an error model that the rest of the service does not use.