Melhores prompts para Cursor
12 prompts selecionados — prontos para copiar e colar
Prompts para o Cursor não são prompts de ChatGPT colados em uma IDE. O Composer, o Chat, a edição inline e as menções com @ mudam o que o modelo consegue ver. Esta coleção é para trabalho que conhece o repositório: refatorações, testes, migrações e sessões de depuração que devem citar arquivos em vez de despejar a base de código inteira em um chat genérico.
- 1 Cursor intermediário
React Component Generator with TypeScript
This prompt generates complete, production-quality React components that follow modern best practices from day one. Instead of scaffolding a basic component and gradually adding TypeScript types, accessibility, and tests, you get everything in a single output. The emphasis on ARIA attributes and keyboard navigation ensures your components are accessible by default. The included test suite covers the most important scenarios so you can ship with confidence. Ideal for teams establishing component patterns or developers who want to maintain high standards without slowing down.
Ver prompt (em inglês) → - 2 Cursor avançado
Cursor API Client Generator
This prompt generates production-ready API client libraries that handle all the complexity of external API integration. Instead of making raw HTTP calls scattered throughout your codebase, you get a clean, typed, well-documented client with built-in error handling, retry logic, rate limiting, and authentication. The generated client follows best practices for API consumption including proper error classification, exponential backoff, and dependency injection for testability. This saves developers hours of boilerplate work and prevents common integration bugs like missing error handling, retry storms, and untyped responses.
Ver prompt (em inglês) → - 3 Cursor avançado
Cursor Migration Helper
This prompt generates comprehensive database and system migration plans with executable scripts that handle the full lifecycle from planning through verification. Migrations are among the riskiest operations in software development, and this prompt addresses that risk with transaction-safe scripts, rollback plans, validation queries, and gradual rollout strategies. The output includes idempotent migration scripts that can be safely re-run if interrupted, along with data validation to ensure nothing is lost or corrupted. This is essential for engineering teams migrating databases, upgrading frameworks, switching providers, or refactoring data models in production systems.
Ver prompt (em inglês) → - 4 Cursor intermediário
Cursor Refactor Assistant
This prompt transforms messy, hard-to-maintain code into clean, well-structured code following industry best practices. It applies key software engineering principles like Single Responsibility, DRY, and meaningful naming to produce code that is easier to read, test, and extend. The refactoring includes detailed explanations for every change so you understand the reasoning and can learn from the improvements. It also flags potential breaking changes to prevent introducing bugs during the refactoring process. This is essential for developers working with legacy code, preparing code for review, or wanting to level up their coding standards.
Ver prompt (em inglês) → - 5 Cursor intermediário
Cursor Test Writer
This prompt generates comprehensive test suites that go far beyond basic happy-path testing. It produces tests organized into logical categories covering edge cases, error handling, integration points, and regression scenarios that developers often miss. Each test follows the arrange-act-assert pattern with descriptive naming conventions that serve as living documentation. The prompt handles mock setup, fixture creation, and test organization so you get a production-ready test file. This is invaluable for developers who know they should write more tests but struggle with identifying what to test, and for teams looking to increase their code coverage systematically.
Ver prompt (em inglês) → - 6 Cursor intermediário
Docker Compose Generator for Multi-Service Apps
This prompt generates Docker Compose configurations that follow production best practices out of the box, saving you from the hours of trial-and-error that typically accompany multi-service setups. Every service gets health checks, resource limits, and proper networking — the details that are easy to skip but critical for reliability. The companion .env.example and .dockerignore files mean your team can clone and run without configuration archaeology. The security audit catches common mistakes like exposed ports and root containers before they reach production. Whether you are setting up a local development environment or deploying to a Docker Compose-based production setup, this prompt produces configurations that work correctly the first time.
Ver prompt (em inglês) → - 7 Cursor iniciante
Conventional Git Commit Message Writer
This prompt generates precise, conventional commit messages by actually analyzing the diff rather than relying on vague descriptions. The emphasis on explaining 'why' in the body means your git history becomes genuinely useful for future developers trying to understand decisions, not just a log of what files changed. The risk assessment and concern flagging turn the commit message into a lightweight code review checkpoint. The split suggestion catches the common anti-pattern of bundling unrelated changes. Whether your team uses Conventional Commits, Angular convention, or a custom format, this prompt adapts to your standard. Essential for maintaining a clean git history in collaborative projects.
Ver prompt (em inglês) → - 8 Cursor intermediário
Next.js API Route Handler with Validation
This prompt generates Next.js API route handlers that handle the boring but critical parts of API development — validation, error handling, authentication, and type safety — so you can focus on business logic. The Zod schema integration catches malformed requests before they reach your handler, while the typed response helpers prevent you from accidentally returning the wrong shape. The consistent error response format means your frontend team always knows what to expect when something fails. The included test file gives you a starting point for route testing, which is often skipped because the setup is tedious. Ideal for teams building Next.js applications who want their API routes to be as robust as a dedicated backend service.
Ver prompt (em inglês) → - 9 Cursor intermediário
Prisma Schema Generator
This prompt generates complete Prisma database schemas from application requirements, including models, relationships, indexes, enums, and seed data. It handles the translation from business logic to database structure, applying best practices like soft deletes, audit trails, and composite indexes that developers often forget during initial schema design. The output includes not just the schema file but also migration strategy notes and Prisma Client query examples for common access patterns. It is ideal for full-stack developers starting new projects with Prisma, teams migrating from raw SQL to an ORM, or developers who want a senior-level schema review of their data model before implementation.
Ver prompt (em inglês) → - 10 Cursor avançado
Database Schema Designer
A well-designed database schema is the foundation of any application, and mistakes made at this level are extremely expensive to fix later. This prompt generates production-ready schemas that incorporate best practices like soft deletes, audit timestamps, proper indexing, and thoughtful normalization decisions. The migration script output means you can apply the schema directly to your development database. The example queries help validate that the schema supports your actual access patterns efficiently. Invaluable for greenfield projects, significant feature additions that require new tables, or refactoring legacy schemas.
Ver prompt (em inglês) → - 11 Cursor iniciante
Debug Error Detective
Debugging is often the most frustrating part of development, especially when error messages are cryptic or misleading. This prompt turns the AI into a debugging partner that goes beyond fixing the immediate error to help you understand the root cause and prevent similar issues. The requirement to explain in plain English demystifies complex error messages, while the prevention suggestions help you write more defensive code going forward. The hidden issues check is particularly valuable because production bugs often mask underlying problems that surface later as harder-to-diagnose failures.
Ver prompt (em inglês) → - 12 Cursor avançado
Python Data Pipeline Builder
Data pipelines are the backbone of modern data infrastructure, but building reliable ones from scratch involves many subtle decisions around error handling, retry logic, and validation. This prompt generates a complete ETL pipeline with production-grade patterns built in from the start. The Pydantic validation ensures data quality at every stage, while the retry logic and structured logging make the pipeline resilient and debuggable. The modular package structure means you can extend and maintain the code as your data needs grow.
Ver prompt (em inglês) →
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