11 skills found
astrogirlnim / commit-messagesStandardized commit message format for consistent version control history
js-promptly3d / three-jsThis rule provides guidelines and best practices for developing efficient, maintainable, and robust 3D web applications using Three.js. It covers aspects like code organization, performance optimization, security, testing, and common pitfalls to ensure a high-quality development experience.
voxmenthe / environmentRunning terminal commands
zedfauji / library-usageLibrary Usage Rules Preferred Libraries Core Libraries (Required) - EF Core : ORM for database access (Infrastructure layer only) - CommunityToolkit.Mvvm : MVVM framework for WinUI 3
armoin2018 / AGENTSLevel the AI playing field with robust AI Evolving Personas, Instruction Sets, Commands for Git Copilot, Claude-Code, Gemini, Windsurf, Cursor, Metis, and others
jacksgt / commitKubernetes Container Storage Interface (CSI) driver that provides persistent volumes using Btrfs subvolumes with quotas.
arkanwolfshade / vimThis rule file outlines best practices for vim configuration, coding standards, and development workflows to ensure consistency, efficiency, and maintainability across vim-based projects. It includes recommendations for file organization, coding patterns, performance, security, testing, tooling, and common pitfalls.
HaoNgo232 / baseThe core backend system for an eyewear e-commerce platform, applying microservices architecture with NestJS, NATS message broker, and Prisma.
vimalkodoth / cqrsFastAPI Cursor Starter Kit: production backend template for Cursor/AI teams. API-only, layered (endpoints→services→repos), Celery+RabbitMQ RPC, PostgreSQL+Alembic. Built-in observability and quality (metrics, idempotency, Black, mypy, pre-commit). Cursor rules keep AI-generated code aligned so you extend without fighting the structure.
AnhEmMotor / AGENTHigh-performance E-commerce Backend built with ASP.NET Core, featuring JWT Auth, Entity Framework Core, and SQL Server.
kim135797531 / CURSORCURSOR.md Behavioral guidelines to reduce common LLM coding mistakes. Merge with project-specific instructions as needed. Tradeoff: These guidelines bias toward caution over speed. For trivial
