by CreatorEdition · Claude Skill · ★ 242
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AI 编程提示词中文项目 最近更新： 2026-04-12 📖 项目简介 本项目是对 system-prompts-and-models-of-ai-tools 的中文翻译与扩展整理，旨在为中文开发者与 AI 爱好者提供常见 AI 编程工具的系统提示词、工具定义及相关模型说明文档。 这些资料可用于学习不同 AI 助手的行为方式、能力边界与交互逻辑，也可作为研究、对比分析和实践参考的素材库。 声明： 本项目仅供学习与研究使用。仓库中的提示词和模型文档仅用于帮助开发者理解相关 AI 工具的工作机制。详细说明请参阅 DISCLAIMER.md。 📌 当前整理状态 当前仓库正在进行一轮结构清理与提交收口，已完成对文档状态失真和目录异常的首轮修复。 、、 等目录仍存在待审阅的新资料，后续会分批确认、整理并提交。 已按产品子目录整理，当前以 为主； 目录已预留但尚未正式纳入版本管理。 目录名已标准化，避免隐藏字符导致的路径问题。 🚀 收录内容 本项目当前收录了 35+ 主流及新兴 AI 编程工具的系统提示词和模型设计资料，包括但不限于： 代码编辑器与 IDE 集成工具：Cursor、VSCode Agent、Windsurf、Xcode、Augment Code、Trae AI 编程助手与代理：Devin AI、Replit、v0、Bolt.new、Claude Code、Cline、RooCode 主流大模型系统提示词：ChatGPT（OpenAI）、Grok（xAI）、Claude（Anthropic）、Gemini（Google） 国内厂商相关工具：豆包 / Trae（字节跳动）、Qoder（阿里）、CodeBuddy（腾讯）、Z.ai（智谱）、Kimi（月之暗面） 专业开发与生成平台：Lovable、Same.dev、Manus Agent、Leap.new、Amp 新兴 AI 工具：Kiro、Emergent、Traycer AI、Poke、dia、Junie 企业与效率工具：Notion AI、Perplexity 开发辅助工具：Comet Assistant、Cluely、Orchids.app、Warp.dev 开源项目与公开提示词：Bolt、Cline、RooCode、Lumo、Gemini CLI、Codex CLI 📂 目录结构 text . ├── Amp/ # Amp AI 开发平台
| Stars | 242 |
| Forks | 44 |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 40.14/100 |
| Last Updated | 2026-05-06 |
| Created | 2025-12-12 |
| Platforms | claude-code, vscode |
| Est. Tokens | ~210k |
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system-prompts-and-models-of-ai-tools-chinese is AI编程工具中文提示词合集，包含Cursor、Antigravity、VSCode Agent等多种AI编程工具的提示词，为中文开发者提供AI辅助编程参考资源。持续更新中文编程Rules和最新AI编程提示词。. It is categorized as a Claude Skill with 242 GitHub stars.
You can find installation instructions and usage details in the system-prompts-and-models-of-ai-tools-chinese GitHub repository at github.com/CreatorEdition/system-prompts-and-models-of-ai-tools-chinese. The project has 242 stars and 44 forks, indicating an active community.
system-prompts-and-models-of-ai-tools-chinese is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to system-prompts-and-models-of-ai-tools-chinese on Agent Skills Hub include awesome-vibe-coding-guide, bug-hunter, relic.skill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.