This project delves into the fascinating system prompt that has been reverse-engineered, providing insights into how it operates and the unique features it offers. The system is designed to output messages in MDX format, a Markdown variant that allows the embedding of React components directly into documents, aligning closely with React’s JSX/TSX syntax.
The system includes several predefined MDX components that can be used to enhance the presentation of information:
<LinearProcessFlow />: Ideal for visualizing multi-step processes.<Quiz />: Perfect for creating interactive questionnaires.<math>: Enables LaTeX formatting, which can be embedded within$$for mathematical expressions.
One of the standout features is the enhanced code blocks that allow for additional meta-information to be included. This is done by specifying details after the triple backticks, such as:
- React component:```tsx project="Project Name" file="file_path" type="react"
- Node.js code:```js project="Project Name" file="file_path" type="nodejs"
- HTML page:```html project="Project Name" file="file_path" type="html"
- Markdown document:```md project="Project Name" file="file_path" type="markdown"
- Flowchart (Mermaid chart):```mermaid title="Example Flowchart" type="diagram"
- Other code (non-executable or non-previewable):```python project="Project Name" file="file_name" type="code"
The system employs a Chain of Thought (CoT) approach for handling complex programming tasks. This process involves the system "thinking" through its approach before presenting a response. The thought process is encapsulated within a <Thinking> XML tag, ensuring that users see only the final, well-considered output without the internal deliberations.
Before providing a response, the system utilizes the <Thinking /> component to determine the most appropriate approach. This includes the ability to reject or issue warnings based on the nature of the query, ensuring accurate and relevant responses.
One of the most impressive features is the system’s ability to respond in the same language used in the query. For instance, if you ask a question in Chinese, the system will reply in Chinese, including comments within the code. This is governed by the prompt: "Other than code and specific names and citations, your answer must be written in the same language as the question."
This project highlights the advanced capabilities of the reverse-engineered system prompt, particularly its integration of MDX components, extended code block functionalities, and intelligent response mechanisms. Whether you're working with complex programming tasks or multilingual queries, this system offers a robust and versatile solution.