418 个 · 按相关度排序
Provides expert knowledge for implementing and reviewing application security following OWASP Top 10 (2021), with stack-specific patterns for Spring Boot, Django, Next.js, and Astro.
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Use when integrating LLMs, chat clients, embeddings, RAG pipelines, or AI agents into Spring Boot. Covers Spring AI ChatClient, prompt templates, embeddings, vector stores, and structured output. Use when user mentions Spring AI, LLM, ChatGPT, Claude, RAG, embeddings.
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Run the PageSpeed performance audit — 80/20 analysis of Core Web Vitals using the PageSpeed Insights API.
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Genera endpoints REST con Kotlin + Spring Boot 3.4+ (Records, Virtual Threads, ProblemDetail)
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Use when generating or modifying any Spring Boot class — controllers, services, repositories, DTOs, mappers, or configuration. Enforces strict layer separation and prevents business logic from leaking across boundaries.
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Guides agents through Red-Green-Refactor with runner-captured evidence. Use when running /cc-tdd-cycle, writing tests before implementation, or Global TDD required is yes.
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Use when working with @Transactional, multi-step database operations, distributed transactions, or any code that needs atomicity guarantees. Covers propagation rules, isolation levels, read-only optimization, and common pitfalls.
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Use when the project follows hexagonal (ports & adapters) architecture. Prevents domain code from depending on Spring or JPA. Use when you see packages like domain/, application/, infrastructure/, or adapters/ in the project structure.
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Use when configuring Spring Boot as an OAuth2 resource server, validating JWTs from an external auth provider (Keycloak, Auth0, Okta, Cognito), extracting claims, or implementing scope-based authorization.
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Use when the project follows API-first / OpenAPI-first approach: generating controller interfaces, DTOs, and clients from an OpenAPI spec. Use when you see openapi.yaml, openapi-generator-maven-plugin, or ApiDelegate pattern in the project.
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Use when working with domain models, aggregates, value objects, domain events, or repositories in a DDD-style project. Ensures rich domain model over anemic CRUD.
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Audita calidad de código Kotlin/Spring Boot en este proyecto. Úsalo cuando el usuario pida revisar código, verificar estándares, hacer un code review, auditar calidad, ejecutar linters, verificar cobertura, o antes de hacer commit/PR. También úsalo cuando mencionen KTLint, Detekt, JaCoCo, cobertura, o simplemente digan "revisa el código" / "está listo para commit" / "qué tan bueno está el código".
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Run the API contract workflow for request/response shape changes, compatibility constraints, contract tests, documentation, and review.
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Use when generating JPA entities, repositories, queries, or anything touching the persistence layer. Covers entity conventions, N+1 prevention, projections, and query patterns.
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
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Use when writing tests of any kind — unit, slice, or integration. Covers test structure, naming conventions, Mockito patterns, @WebMvcTest, @DataJpaTest, and Testcontainers setup.
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Use when working in a multi-module Maven project. Covers parent POM conventions, shared dependency management, inter-module rules, and build ordering.
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Run the database migration workflow for schema/data changes, operational sequencing, tests, and review.
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Use when implementing error handling, exception mappers, or error response formatting. Enforces RFC 9457 (Problem Details for HTTP APIs) using Spring's built-in ProblemDetail.
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Use when implementing caching, session storage, rate limiting, or any Redis integration. Covers cache-aside pattern, key naming, TTL strategy, and serialization config.
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Use when adding monitoring, metrics, logging, or tracing to Spring AI or LLM integration code. Covers token tracking, latency measurement, cost estimation, and prompt/response logging. Use when user mentions AI monitoring, token costs, or LLM observability.
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Use when generating REST controllers, response wrappers, DTOs, error handlers, or any HTTP-facing code. Defines response envelope, HTTP status mapping, pagination, and versioning.
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Use when creating database migrations, schema changes, seed data, or any SQL that modifies database structure. Covers Flyway naming conventions, versioning, and safe migration patterns.
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Run the refactor workflow — mandatory architectural justification, test verification, risk-based implementation, and scope enforcement.
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