Browse

fastcore .cursorrules prompt files

Fastcore is a Python library providing fast, flexible utility functions for data manipulation and software development, aiding in rapid prototyping and cleaner code.

Filters

All

React

Tailwind CSS

Filters

Tech

Clear

React

Tailwind CSS

Node.js

Tailwind

JavaScript

Shadcn UI

Next.js

Radix UI

Python

WebP

Zod

JSX

Vite

CSS

Supabase

HTML

Jest

Next.js App Router

PostgreSQL

Docker

Redis

Pydantic

Tailwind Aria

TailwindCSS

FastAPI

Git

ESLint

pytest

react-hook-form

Solidity

Vercel

JSDoc

GitHub Actions

Typescript

Prettier

Suspense

Vitest

ARIA

Zustand

React Testing Library

Celery

Radix

Shadcn

SQLAlchemy

PHP

SvelteKit

JSON

Vue.js

Pinia

MongoDB

tRPC

Clerk

Expo

PEP 8

SSR

Prisma

dotenv

GitLab CI

SQLite

SQL

Playwright

tanStackQuery

DaisyUI

Laravel

RESTful API

Drizzle ORM

VueUse

Express

asyncpg

TypeScript

scikit-learn

pandas

GitHub

RabbitMQ

Rust

Java

GraphQL

Svelte

Elixir

ES6

Nuxt 3

styled-components

Vue Router

Astro

Svelte 5

Markdown

OpenZeppelin

Drizzle

Stripe

Flexbox

CORS

Lighthouse

JWT

Swagger

aiomysql

Ruff

Langchain

Django

matplotlib

Clear

Web Development

Frontend Development

Code Style

Programming

Naming Conventions

Testing

State Management

Backend Development

Code Optimization

Software Engineering

Accessibility

Programming Best Practices

Responsive Design

Code Structure

Version Control

Database Management

UI Design

API Development

Code Quality

TypeScript Best Practices

Authentication

TypeScript

Security

Syntax and Formatting

JavaScript

Best Practices

Data Fetching

Internationalization

Coding Best Practices

React

performance optimization

Performance Optimization

Software Development

Coding Standards

API Integration

Object-Oriented Programming

Code Review

Testing and Debugging

Image Optimization

SEO

Game Development

Code Readability

Deployment

Clean Code

User Interface

JavaScript Frameworks

UI Components

UI and Styling

Declarative Programming

Code Modularity

Security Best Practices

Web Application Development

Error Handling

UI Development

JavaScript Libraries

Design Patterns

TypeScript Guidelines

Server-Side Rendering

TypeScript Usage

Programming Guidelines

Modularization

Code Documentation

error handling

functional programming

Coding Style

Scalability

Form Validation

SEO Optimization

Smart Contracts

Dependency Injection

Test-Driven Development

Static Site Generation

Routing

File Organization

Code Organization

Coding Guidelines

Testing and Quality Assurance

Technical Writing

API Design

Node.js

Full Stack Development

Python development

CI/CD

UI/UX design

Functional Programming

Documentation

Python

Validation

Performance

Code Formatting

Python programming

Code Maintainability

Build and Deployment

Decentralized Applications

Artificial Intelligence

Project Management

Web Vitals

Server Components

Blockchain

Coding Practices

Show

5

rules

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.

NEW

Marisco nbdev .cursorrules prompt file

{
"rules": [
{
"name": "Python Expert Guidelines",
"pattern": ".*",
"message": "You are an expert in Python, Marisco, and nbdev conventions. Ensure your code follows these guidelines:\n\n- Write concise, technical responses with accurate Python examples.\n- Use descriptive variable names that clearly indicate their purpose.\n- Prioritize readability and maintainability; follow PEP 8 style guidelines.\n- Utilize comments and docstrings for clarity, ensuring they follow nbdev conventions.\n- Structure code logically with a clear separation of concerns (modules, classes, functions).\n- Implement effective error handling and input validation.\n- Use type hints for all function signatures to enhance code clarity and usability.\n- Leverage fastcore and other utility libraries to enhance functionality and efficiency.",
"severity": "info"
},
{
"name": "IMFA Pattern Reminder",
"pattern": "(?i)remap|nomenclature",
"message": "Remember the IMFA Pattern for remapping nomenclatures:\n1. Inspect data provider nomenclature.\n2. Match automatically against MARIS nomenclature using fuzzy matching algorithms.\n3. Fix potential mismatches.\n4. Apply the lookup table to the dataframe.\nUse the Remapper object to facilitate this process.",
"severity": "info"
},
{
"name": "Error Handling and Validation",
"pattern": "(?i)error|exception|validate",
"message": "Ensure robust error handling and input validation:\n- Implement graceful error handling for unexpected conditions.\n- Use informative exceptions and log error messages for easier debugging.\n- Validate input data rigorously before processing to avoid runtime errors.",
"severity": "warning"
},
{
"name": "Marisco Guidelines",
"pattern": "marisco",
"message": "Follow Marisco's architectural patterns:\n- Use structured data formats (like NetCDF and CSV) and ensure data integrity.\n- Implement callbacks for modular data transformations and serializers for consistent data output.\n- Utilize configuration files for managing constants and settings.\n- Use appropriate functions from Marisco utility and config modules.\n- Maintain a consistent approach to data manipulation and ensure reproducibility.",
"severity": "info"
},
{
"name": "Performance Optimization",
"pattern": "(?i)performance|optimize",
"message": "Consider performance optimization:\n- Use vectorized operations and efficient algorithms for data processing.\n- Implement caching and other optimization techniques for large datasets.\n- Ensure functions are modular and reusable to promote code efficiency.",
"severity": "info"
}
],
"formatters": {
"python": {
"quote_type": "single",
"indent_size": 4,
"max_line_length": 100
}
}
}