# Awesome Cursor Rules (ZH) — .cursorrules Library

> Awesome Cursor Rules (ZH) is a bilingual .cursorrules library that helps Cursor users enforce architecture, security, and style constraints across a repo.

## Install

Save in your project root:

## Quick Use

1. Install / run:
   ```bash
   git clone https://github.com/LessUp/awesome-cursorrules-zh && cd awesome-cursorrules-zh
   ```
2. Start / smoke test:
   ```bash
   ls -la | sed -n '1,40p'
   ```
3. Verify:
   - Pick one domain rule, copy it into your repo, and confirm Cursor respects the constraints during a small refactor PR.

## Intro

Awesome Cursor Rules (ZH) is a bilingual .cursorrules library that helps Cursor users enforce architecture, security, and style constraints across a repo.

- **Best for:** Cursor users who want a starting set of rules, plus a browsing taxonomy by domain
- **Works with:** Cursor IDE; copy rules into your repo and iterate based on real PR feedback
- **Setup time:** 10 minutes

## Practical Notes

- Repo stats claimed in README: 132 rules, 32 domains, 190 docs, and 6,500+ lines of code (check the README for the latest counts)
- Setup time ~10 minutes (clone + choose one rule to start)
- GitHub stars + forks (verified): see Source & Thanks

Treat rules as living policy, not a one-time paste:

- Start with one rule file that matches your stack (Next.js, Python, Rust, etc.).
- Add “safe defaults” first: no secrets, no destructive ops without confirmation, explicit file boundaries.
- After each PR, update rules based on what the AI got wrong (hallucinated APIs, ignored architecture, unsafe edits).

This library is most effective when you combine it with a repo-specific rule generator (e.g., generate a baseline, then replace/extend with curated rules).

### FAQ

**Q: Should I copy all rules at once?**
A: No. Start with one domain rule and expand only when you see repeated failure patterns.

**Q: How do I know a rule works?**
A: Run a small PR and check whether the AI consistently follows constraints (paths, architecture, security).

**Q: Can I mix with other rule systems?**
A: Yes. Use curated rules as overlays on top of your repo baseline guidance.

## Source & Thanks

> Source: https://github.com/LessUp/awesome-cursorrules-zh
> License: MIT
> GitHub stars: 178 · forks: 25

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<!-- ZH -->

## 快速使用

1. 安装 / 运行：
   ```bash
   git clone https://github.com/LessUp/awesome-cursorrules-zh && cd awesome-cursorrules-zh
   ```
2. 启动 / 冒烟测试：
   ```bash
   ls -la | sed -n '1,40p'
   ```
3. 验证：
   - 选择一个领域规则复制进你的仓库；做一次小重构 PR，确认 Cursor 在生成/修改代码时能遵守约束。

## 简介

Awesome Cursor Rules 中文版是面向中文开发者的 .cursorrules 精选库，覆盖多技术栈规则与使用指南，用于约束架构/安全/风格，让 AI 修改在整个仓库内保持一致。

- **适合谁：** 使用 Cursor 的开发者，需要按领域可检索的规则库与上手指南
- **可搭配：** Cursor IDE；将规则文件复制进仓库后，结合 PR 反馈持续迭代
- **准备时间：** 10 分钟

## 实战建议

- README 给出规模数据：132 个规则、32 个领域、190 个文档、6,500+ 行代码（以 README 最新为准）
- 准备时间约 10 分钟（克隆 + 选 1 条规则落地）
- GitHub stars / forks（已核验）：见「来源与感谢」

把规则当作“持续演进的政策”，而不是一次性粘贴：

- 先挑与你技术栈匹配的 1 个规则文件（Next.js / Python / Rust 等）。
- 优先落地“安全默认值”：不泄密、无确认不做破坏性操作、明确文件边界。
- 每次 PR 后根据 AI 的真实失误迭代规则（幻觉 API、忽略架构、危险修改等）。

这类规则库最有效的用法是：先用生成器做仓库基线，再用精选规则替换/扩展，让规则既贴合本仓库又有成熟范式。

### FAQ

**要一次性全量复制吗？**
答：不建议。先从一个领域规则开始，只有当失败模式重复出现时再扩展。

**怎么判断规则有效？**
答：做一次小 PR，看 AI 是否稳定遵守约束（路径、架构、安全）。

**能和其它规则体系混用吗？**
答：可以。精选规则适合作为“叠加层”，覆盖在仓库基线指导之上。

## 来源与感谢

> Source: https://github.com/LessUp/awesome-cursorrules-zh
> License: MIT
> GitHub stars: 178 · forks: 25


---
Source: https://tokrepo.com/en/workflows/awesome-cursor-rules-zh-cursorrules-library
Author: Prompt Lab