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awesome-cursorrules

PatrickJS/awesome-cursorrules · Updated

📄 Configuration files that enhance Cursor AI editor experience with custom rules and behaviors

PatrickJS/awesome-cursorrules is a JavaScript repository in the Awesome Lists category with 41,049 stars and 3,532 forks on GitHub, released under the CC0-1.0 license, last updated 5mo ago.

#awesome#awesome-list#cursor#cursor-ai-editor#cursorrules
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How to install awesome-cursorrules in your AI client

Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.

How to install awesome-cursorrules in Claude CodeAnthropic's agentic CLI

  1. Clone & open

    bash
    git clone https://github.com/PatrickJS/awesome-cursorrules.git
cd awesome-cursorrules
claude

  2. Let Claude read it

    Ask “/init” to generate a CLAUDE.md, then have Claude explain, run, or extend the codebase. It reads files on demand.

Documentation

Full README

Awesome Cursor Rules ![Awesome](https://awesome.re)

Cursor Project Rules enhance Cursor AI editor behavior with project-specific guidance and reusable coding standards.

Cursor AI is an AI-powered code editor. Cursor Project Rules are Markdown-based .mdc files that live in .cursor/rules/ and tell Cursor how to behave for specific projects, file types, frameworks, and workflows.

Sponsorships

coderabbit.ai - Cut Code Review Time & Bugs in Half. Instantly.

Unblocked MCP- Supercharge Cursor with your team’s knowledge

Warp - Built for coding with multiple AI agents

Contents

  • Why Cursor Rules
  • Rules
  • Frontend Frameworks and Libraries
  • Backend and Full-Stack
  • Mobile Development
  • Games and Graphics
  • CSS and Styling
  • State Management
  • Database and API
  • Testing
  • Hosting and Deployments
  • Build Tools and Development
  • Language-Specific
  • Security
  • Documentation
  • Directories
  • How to Use

Why Cursor Rules

Cursor rules help developers define project-specific instructions for Cursor AI. This repository uses the modern .mdc Project Rules format.

Customized behavior means Cursor can respond to the specific needs of a project instead of relying only on general coding knowledge. Rules can describe local architecture, preferred libraries, common methods, domain constraints, and other context that makes generated code more relevant.

Consistency is the other big win. By defining coding standards and best practices in .mdc files, teams can guide Cursor toward code that matches the project's style, naming, structure, and review expectations.

Project rules also reduce repeated manual editing. Well-scoped rules give Cursor reusable project knowledge up front, so suggestions are more likely to fit the codebase on the first pass and less likely to need the same corrections again.

Excerpt — the full document is on GitHub.

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