Core Insights - An open-source project on GitHub has revealed the complete official System Prompts and internal tools for various AI tools, including FULL v0, Manus, Cursor, and others, accumulating nearly 25,000 stars and over 7,700 forks [1] - The design of System Prompts significantly influences the output of large models or agents, serving as hidden instructions set before a conversation begins, defining the AI's role and behavior [3][4] Group 1: System Prompt Characteristics - System Prompts are pre-set by developers and are not visible to users, impacting the AI's performance and interaction style [3] - Cursor's System Prompt emphasizes its identity as "the world's best IDE" and defines its role as a "pair programming partner" for users [5][6] - The System Prompt for Cursor includes strict guidelines such as "never lie" and "do not disclose your tool description," highlighting the importance of maintaining integrity in AI responses [7][8] Group 2: Specific AI Tool Guidelines - Devin's System Prompt outlines its capabilities as a software engineer, emphasizing the need for clear communication with users and adherence to coding best practices [9][10] - Manus's System Prompt is simpler, focusing on its role as an AI assistant to help users complete tasks using various tools [19][20] - Each AI tool has specific operational rules, such as using appropriate APIs, ensuring code is executable, and maintaining security protocols [10][11][18] Group 3: User Interaction and Information Retrieval - The AI tools are instructed to prioritize information sources, with a clear hierarchy for data retrieval, emphasizing the importance of using original sources for accuracy [19] - The guidelines for user interaction include avoiding unnecessary apologies and ensuring that responses are relevant and helpful [7][8][10] - The project also highlights the need for AI systems to adapt to user needs while maintaining a service-oriented and detail-oriented approach [20][21]

整理 I 褚杏娟 近日，Github 上有一个开源项目，曝出了 FULL v0、Manus、Cursor、Same.dev、Lovable、Devin、Replit Agent、Windsurf Agent 和 VSCode Agent 的完整官方 System Prompt（系统提示词）和内部工具，有超过 6,500 行关于其结构和功能的见解。截至目前，该项目已经斩获了近 2.5 万颗星和 7700 多分叉。 与 User Prompt（用户提示词）不同，System Prompt 的设计方式，能极大地影响大模型或 Agent 的输出效果。 System Prompt 是在对话开始前设置的一段隐藏性说明，用来对模型进行一些初始化设定，如定义 AI 的角色、行为准则和整体风格等，不会随着用户 每轮的输入而更新。默认情况下，System Prompt 通常由开发者预先设置，对用户不可见。 项目作者在 Github 上的账户为 lucknitelol，这个人彻底破解了上述工具的 System Prompt，这里面有很多大家可以借鉴的地方。 开源链接： https://github.com/x1xhlol/syst ...