next/image .cursorrules Cursor AI Prompt File Examples

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TypeScript Node.js Next.js .cursorrules prompt file

You are an expert in TypeScript, Node.js, Next.js App Router, React, Prisma, PostgreSQL, Turborepo, Shadcn UI, Radix UI and Tailwind.

Write concise, technical TypeScript code with accurate examples.
Use functional and declarative programming patterns; avoid classes.
Prefer iteration and modularization over code duplication. But if you don't have a proper abstraction then writing similar code twice is fine.
Use descriptive variable names with auxiliary verbs (e.g., isLoading, hasError).
Structure files: exported component, subcomponents, helpers, static content, types.
Use kebab case for route directories (e.g., api/hello-world/route). Use PascalCase for components (eg. components/Button.tsx)
Shadcn components are in components/ui. All other components are in components/.
Colocate files in the folder they're used. Unless the component can be used in many places across the app. Then it can be placed in the components folder.
We use Turborepo with pnpm workspaces.
We have one app called web in apps/web.
We have packages in the packages folder.
We have Next.js server actions in the apps/web/utils/actions folder. Eg. apps/web/utils/actions/cold-email has actions related to cold email management.
Favor named exports for components.
Use TypeScript for all code.
Avoid unnecessary curly braces in conditionals; use concise syntax for simple statements.
Use Shadcn UI and Tailwind for components and styling.
Implement responsive design with Tailwind CSS; use a mobile-first approach.
Use next/image package for images.
For API get requests to server use the swr package. Example:
```typescript
const searchParams = useSearchParams();
const page = searchParams.get("page") || "1";
const { data, isLoading, error } = useSWR<PlanHistoryResponse>(
/api/user/planned/history?page=${page}
);
```
Use the Loading component. Example:
```tsx
<Card>
<LoadingContent loading={isLoading} error={error}>
{data && <MyComponent data={data} />}
</LoadingContent>
</Card>
```
If we're in a server file, you can fetch the data inline.
For mutating data, use Next.js server actions.
Use isActionError with toastError and toastSuccess. Success toast is optional. Example:
```typescript
import { toastError, toastSuccess } from "@/components/Toast";
const onSubmit: SubmitHandler<TestRulesInputs> = useCallback(async (data) => {
const result = await testAiCustomContentAction({ content: data.message });
if (isActionError(result)) {
toastError({
title: "Error testing email",
description: result.error,
});
} else {
toastSuccess({ description: "Saved!" });
}
}, []);
```
Implement type-safe server actions with proper validation.
Define input schemas using Zod for robust type checking and validation.
Handle errors gracefully and return appropriate responses.
Ensure all server actions return the Promise`` type
Use React Hook Form with Zod for validation. The same validation should be done in the server action too. Example:
```tsx
export const ProcessHistory = () => {
const {
register,
handleSubmit,
formState: { errors, isSubmitting },
} = useForm<ProcessHistoryOptions>({
resolver: zodResolver(processHistorySchema),
});
const onSubmit: SubmitHandler<ProcessHistoryOptions> = useCallback(
async (data) => {
const result = await processHistoryAction(data.email);
handleActionResult(result, Processed history for ${data.email});
},
[]
);
return (
<form className="max-w-sm space-y-4" onSubmit={handleSubmit(onSubmit)}>
`<Input
type="email"
name="email"
label="Email"
registerProps={register("email", { required: true })}
error={errors.email}
/>`
<Button type="submit" loading={isSubmitting}>
Process History
</Button>
</form>
);
};
```
This is how you do a text area. Example:
```tsx
`<Input
type="text"
as="textarea"
rows={3}
name="message"
placeholder="Paste in email content"
registerProps={register("message", { required: true })}
error={errors.message}
/>`
```
This is the format of a server action. Example:
```typescript
export const deactivateApiKeyAction = withActionInstrumentation(
"deactivateApiKey",
async (unsafeData: DeactivateApiKeyBody) => {
const session = await auth();
const userId = session?.user.id;
if (!userId) return { error: "Not logged in" };
```
const { data, success, error } =  deactivateApiKeyBody.safeParse(unsafeData);if (!success) return { error: error.message };await prisma.apiKey.update({  where: { id: data.id, userId },  data: { isActive: false },});revalidatePath("/settings");
```
}
);
```

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TypeScript Node.js Next.js .cursorrules prompt file

Elie Steinbock

NEW

Tailwind React Firebase .cursorrules prompt file

Here are some best practices and rules to follow for creating a high-quality, mobile-first web app with excellent UI/UX using Tailwind, React, and Firebase:

Mobile-First Design:

Always design and implement for mobile screens first, then scale up to larger screens.
Use Tailwind's responsive prefixes (sm:, md:, lg:, xl:) to adjust layouts for different screen sizes.

Consistent Design System:

Create a design system with consistent colors, typography, spacing, and component styles.
Utilize Tailwind's configuration file (tailwind.config.js) to define your custom design tokens.

Performance Optimization:

Use React.lazy() and Suspense for code-splitting and lazy-loading components.
Implement virtualization for long lists using libraries like react-window.
Optimize images and use next/image for automatic image optimization in Next.js.

Responsive Typography:

Use Tailwind's text utilities with responsive prefixes to adjust font sizes across different screens.
Consider using a fluid typography system for seamless scaling.

Accessibility:

Ensure proper color contrast ratios using Tailwind's text-* and bg-* classes.
Use semantic HTML elements and ARIA attributes where necessary.
Implement keyboard navigation support.

Touch-Friendly UI:

Make interactive elements (buttons, links) at least 44x44 pixels for easy tapping.
Implement touch gestures for common actions (swipe, pinch-to-zoom) where appropriate.

USE THE IMAGES IN THE MOCKUPS FOLDER AS EXAMPLE OF HOW TO STYLE THE APP AND CREATE THE LAYOUT

WHEN CREATINGA FILE DON'T CONFLICT IT WITH .TSX AND .JSX FILES

Firebase Best Practices:

Implement proper security rules in Firebase.
Use Firebase SDK's offline persistence for better performance and offline support.
Optimize queries to minimize read/write operations.

Error Handling and Feedback:

Implement proper error boundaries in React.
Provide clear feedback for user actions (loading states, success/error messages).

Animation and Transitions:

Use subtle animations to enhance UX (e.g., page transitions, micro-interactions).
Utilize Tailwind's transition utilities or consider libraries like Framer Motion.

Form Handling:

Use libraries like Formik or react-hook-form for efficient form management.
Implement proper form validation with clear error messages.

Code Organization:

Follow a consistent folder structure (e.g., components, hooks, pages, services).
Use custom hooks to encapsulate and reuse logic.

Native-like Features:

Implement pull-to-refresh for content updates.
Use smooth scrolling and momentum scrolling.
Consider using libraries like react-spring for physics-based animations.

Here’s a concise prompt for a language model to help you with the logic for creating AI-powered medication insights in your app:
Prompt:
Design a feature for a pill management app that tracks user interactions with medications (Take/Skip) and generates monthly adherence reports.
The app should:
User Interface: Display pills for "Morning," "Afternoon," and "Night" with buttons for "Take" and "Skip." Show a confirmation modal for user actions.
Data Collection: Log user interactions (pill ID, action, timestamp, notes) in a database.
Monthly Report: Aggregate data to calculate total pills scheduled vs. taken, adherence percentage, and trends (e.g., frequently skipped pills).
AI Insights: Use basic statistical analysis to generate personalized suggestions based on user feedback (e.g., side effects, missed doses).
Dashboard: Create a section for users to view their monthly reports, including adherence percentage, trends, and AI-generated suggestions.
This prompt provides a clear and structured request for assistance in developing the feature, focusing on key components and functionality.

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