Cursor 必备 MCP 组合推荐

Kotlin Coroutines and Flow patterns for Android and KMP — structured concurrency, Flow operators, StateFlow, error handling, and testing. Use when writing coroutines or Flow code on Android or KMP, or debugging cancellation and concurrency.

Test-driven development for Quarkus 3.x LTS using JUnit 5, Mockito, REST Assured, Camel testing, and JaCoCo. Use when adding features, fixing bugs, or refactoring event-driven services.

Django + Celery async task patterns — configuration, task design, beat scheduling, retries, canvas workflows, monitoring, and testing. Use when adding background jobs, scheduled tasks, or async processing to a Django app.

Laravel testing strategies with PHPUnit, Pest, model factories, HTTP tests, Sanctum authentication testing, mocking, and coverage. Use when writing Laravel tests with PHPUnit or Pest, or driving a Laravel feature test-first.

Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs. Use when writing Django or DRF tests with pytest-django, or driving a Django feature test-first.

Protocol-based dependency injection for testable Swift code — mock file system, network, and external APIs using focused protocols and Swift Testing. Use when Swift code needs testing and file system, network, or external APIs must be mocked.

C# and .NET testing patterns with xUnit, FluentAssertions, mocking, integration tests, and test organization best practices. Use when writing or reviewing xUnit tests, mocks, or integration tests in a C# / .NET project.

Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology. Use when writing Perl tests with Test2::V0 or Test::More, or measuring coverage.

Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology. Use when writing Rust tests — unit, integration, async, property-based, or coverage.

F# testing patterns with xUnit, FsUnit, Unquote, FsCheck property-based testing, integration tests, and test organization best practices. Use when writing F# tests with xUnit, FsUnit, Unquote, or FsCheck.

Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices. Use when writing Kotlin tests with Kotest or MockK, or testing coroutines and checking coverage.

Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices. Use when writing Go tests — table-driven cases, subtests, benchmarks, fuzzing, or coverage.

Playwright E2E testing patterns, Page Object Model, configuration, CI/CD integration, artifact management, and flaky test strategies. Use when writing Playwright tests, structuring page objects, or fixing flaky E2E runs in CI.

Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.

Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications. Use when writing or reviewing Python code and idiomatic structure, typing, or PEP 8 is in question.

Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements. Use when writing pytest tests — fixtures, mocks, parametrization, or coverage.

Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services. Use when introducing or refactoring toward Ports and Adapters, or when domain logic has become entangled with I/O.

Patterns for robust error handling across TypeScript, Python, and Go. Covers typed errors, error boundaries, retries, circuit breakers, and user-facing error messages. Use when designing error types, retries, circuit breakers, or user-facing failure messages in TypeScript, Python, or Go.

Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API. Use when building or debugging an MCP server — tools, resources, prompts, validation, or transport choice.

Prisma ORM patterns for TypeScript backends — schema design, query optimization, transactions, pagination, and critical traps like updateMany returning count not records, $transaction timeouts, migrate dev resetting the DB, @updatedAt skipped on bulk writes, and serverless connection exhaustion. Use when writing a Prisma schema or query, or debugging transactions, migrations, or serverless connection limits.

Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes. Use when building or reviewing Node.js, Express, or Next.js API routes and their data access.

NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends. Use when building or reviewing a NestJS backend — modules, providers, DTO validation, guards, or interceptors.

Next.js 16+ and Turbopack guidance — incremental Rust bundling, file-system caching, faster dev startup and HMR, Turbopack vs webpack tradeoffs, and the middleware.ts to proxy.ts filename change. Use when developing or debugging Next.js 16+ apps, diagnosing slow dev startup or hot reload, choosing between bundlers, or reviewing middleware/proxy file naming.

Java coding standards for Spring Boot and Quarkus services: naming, immutability, Optional usage, streams, exceptions, generics, CDI, reactive patterns, and project layout. Automatically applies framework-specific conventions. Use when writing or reviewing Java in a Spring Boot or Quarkus service.

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.

Motion tokens, spring presets, performance rules, device adaptation, accessibility enforcement, and SSR safety for React / Next.js using motion/react. Foundation layer — all other motion skills depend on this. Use when setting up motion tokens, spring presets, reduced-motion handling, or SSR-safe animation in React or Next.js.

Vue.js 3 Composition API patterns, component architecture, reactivity best practices, Pinia state management, Vue Router navigation, and Nuxt SSR patterns. Activates for Vue, Nuxt, Vite, or Pinia projects. Use when building or reviewing Vue 3, Nuxt, or Pinia code — Composition API, reactivity, or router navigation.

Production-ready animation patterns for React / Next.js — button, modal, toast, stagger, page transitions, exit animations, scroll, and layout — built on motion-foundations tokens and springs. Use when animating a specific UI element in React or Next.js — button, modal, toast, stagger, page transition, or scroll.

Advanced motion patterns for React / Next.js — drag & drop, gestures, text animations, SVG path drawing, custom hooks, imperative sequences (useAnimate), loaders, and the full API decision tree. Requires motion-foundations. Use when building drag and drop, gestures, text or SVG animation, or imperative animation sequences in React or Next.js.

Accessibility patterns for React and Next.js — semantic HTML, ARIA attributes, form labeling, keyboard navigation, focus management, and screen reader support. Use when building or reviewing forms, modals, dropdowns, tooltips, or tabs, fixing a11y lint or code-review findings, or wiring up keyboard navigation and focus management.

Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices. Use when building or reviewing React or Next.js components, state, or render performance.

React 18/19 patterns including hooks discipline, server/client component boundaries, Suspense + error boundaries, form actions, data fetching, state management decision trees, and accessibility-first composition. Use when writing or reviewing React components.

React Native and Expo app patterns — Expo Router navigation, state separation (server/client/route/form), TanStack Query data fetching with Zod, performant lists, NativeWind/StyleSheet styling, native APIs, and secure storage. Use when building or editing React Native / Expo screens, components, navigation, or data layers.

React component testing with React Testing Library, Vitest/Jest, MSW for network mocking, accessibility assertions with axe, and the decision boundary between component tests and Playwright/Cypress end-to-end runs. Use when writing or fixing tests for React components, hooks, or pages.

React and Next.js performance optimization patterns adapted from Vercel Engineering's React Best Practices (https://github.com/vercel-labs/agent-skills). Organizes 70+ rules across 8 priority categories — waterfalls, bundle size, server-side, client fetching, re-render, rendering, JS micro-perf, advanced. Use when writing, reviewing, or refactoring React/Next.js code for performance.

Use when deploying a Meteor 3 application. Triggers on meteor build, meteor deploy, Galaxy Push to Deploy, Galaxy Mode, Repository Mode, DEPLOY_HOSTNAME, Docker, Kubernetes, settings.json, METEOR_SETTINGS, MONGO_URL, MONGO_OPLOG_URL, ROOT_URL, PORT, HTTP_FORWARDED_COUNT, NODE_OPTIONS, health checks, pre-deploy commands, hot code push, --architecture os.linux.x86_64, --server-only, or a deployed Node.js version mismatch. Use this skill when the user asks about shipping the app, asks about production config, or asks about containerizing. For Cordova Android/iOS artifacts, signing, and native HCP compatibility use meteor-native; this skill owns the backend deployment.

Use when authoring or debugging Meteor publications and subscriptions (Meteor.publish, Meteor.subscribe). Triggers on publication strategies (SERVER_MERGE, NO_MERGE, NO_MERGE_NO_HISTORY), the low-level publish API (added/changed/removed), cursor authorization, reactive joins, leaked documents. Use this skill when the user asks about pub/sub or asks about reactive data fetching.

在开发 VS Code 内置浏览器（browserView）时使用，帮助理解其架构与心智模型。覆盖编辑器标签页中内嵌的 Chromium 浏览器、导航、遮罩/布局、会话，以及 src/vs/platform/browserView 和 src/vs/workbench/contrib/browserView 下的代理浏览器工具。

Review Orchard deployment manifests

Check deployment evidence and recovery conditions.

设计散弹：批量生成多个 AI 设计变体，打开对比看板，收集结构化反馈并迭代。（gstack）

Use when the user wants to run cognee with Docker or docker compose — trying it out from the prebuilt image, starting the API server in a container, or bringing up the full stack (UI, MCP, Postgres, Neo4j) with compose profiles.

基于 tinystruct Java 框架开发的专业指导。适用于处理 tinystruct 代码库或任何基于 tinystruct 构建的项目——Application 类、@Action 映射路由、单元测试、ActionRegistry、HTTP/CLI 双模式处理、内置 HTTP 服务器、事件系统、使用 Builder/Builders 构建 JSON、基于 AbstractData 的数据库持久化、POJO 生成、Server-Sent Events（SSE）、文件上传以及外部 HTTP 网络请求。

仅在用户明确要求审查 api/ 下的后端代码时使用。支持待提交变更、按文件和粘贴 diff 三种审查模式。不适用于仅实现代码的请求、无审查意图的诊断、前端代码、或 api/ 之外的后端代码。

Configures and diagnoses Workload Identity Federation for GKE authentication failures for Pods (403 "iam.serviceAccounts.getAccessToken" / permission denied, "could not find default credentials", or GKE metadata server unreachable) by verifying cluster and node-pool Workload Identity configuration, the Kubernetes ServiceAccount (KSA) to IAM binding (direct principal binding and legacy Google ServiceAccount impersonation), target-resource IAM roles, and gke-metadata-server health. Use when setting up KSA/GSA bindings (`roles/iam.workloadIdentityUser`, `iam.gke.io/gcp-service-account`) or when a Pod cannot authenticate to Google Cloud APIs. Don't use for in-cluster Kubernetes RBAC errors (API-server authorization), general workload crashes (use gke-workload-troubleshooting), or Pod Security Standards and NetworkPolicies (use gke-workload-security).

为 Google Kubernetes Engine（GKE）应用与命名空间审计、配置并加固工作负载级安全控制。涵盖运行集群安全审计（audit_cluster.sh）、配置 Workload Identity Federation（扮演、KSA/GSA 绑定与 Pod 设置）、强制网络策略（默认拒绝与 Dataplane V2 日志）、在 GKE Sandbox（gVisor）内隔离高风险 Pod、强制 Pod Security Standard（restricted 标签），以及经由 CSI 挂载 Secret Manager 密钥（SecretProviderClass）。用于审计集群安全态势、隔离命名空间、应用 Pod 安全标准、设置 Workload Identity，或配置网络策略与密钥卷挂载时。不用于集群级控制平面安全、RBAC 加固、Binary Authorization、Shielded Nodes 或平台级 GKE 附加组件启用（改用 gke-platform-security）。

规划、配置并加固平台级的 Google Kubernetes Engine（GKE）集群安全。涵盖集群附加组件（启用 Secret Manager）、RBAC 加固（禁用不安全绑定、审计工具）、Binary Authorization、启用 Shielded Nodes、GKE Sandbox 集群启用、GKE IAM 角色，以及跨服务认证 IAM 模式。用于保障集群控制平面安全、加固 GKE RBAC、启用 Shielded Nodes、启用 GKE Sandbox 运行时、启用集群级安全附加组件，或管理 GKE IAM 角色时。不用于工作负载级安全（Workload Identity、SecretProviderClass、PSS、NetPol、gVisor pod runtimeClassName；改用 gke-workload-security）。

以设计师视角做 QA：发现视觉不一致、间距问题、层次问题、AI 味十足的低质样式和迟缓交互——然后修掉它们。（gstack）