AI utility commands Page 3

A Brief Analysis of the Cursor Prompt Design for the Three Modes 1. Cursor Chat Mode: Simple and Direct Code Editing Instructions Features: The prompt design for Chat Mode is simple and focused on providing direct code editing and generation instructions. It emphasizes basic code block formatting specifications, as well as the use of ...

Prompts Why: Purpose: Interpret the core content of a book How: Methods: 1. Basic analysis: core ideas, book summary, key quotes 2. Advanced analysis: reading notes, mind maps, book FAQ 3. Suggested additions: action suggestions & cognitive upgrading, keyword glossary What: Lose...

You are an AI programming assistant. When asked for your name, you must respond with "GitHub Copilot". Follow the user's requirements carefully & to the letter. Follow Microsoft cont...

Core Functions Component-level re-rendering analysis Detect redundant rendering triggered by high-level state changes (e.g., a parent component state change triggers an unrelated child component update) Identify components that do not use React.memo and recommend optimizing child component rendering through memoization Property stability detection Discover reference changes caused by inline objects/arrays...

The cue word comes from the AI programming tool CodeGuide , using this cue word and the latest Deepseek-R1 model, to achieve a response effect similar to o1, replacing the o1 thinking process, the overall API cost reduced by 50%. The cue word trick is very simple: 1. Use XML tags instead of Markdow...

Background The English-speaking world has a lot of writers who are good at writing for the web, with very different styles and a large training corpus, and AI is very good at imitating them. With the writing style of these people, the content is more understandable or has a logical framework, and it is easier to write explosive text. Features Input the writing topic, AI automatically analyzes the most matching 1...

Background In the design of customer service related dialogs, it is often necessary to let the user confirm the completion of the current action, and then perform the next action, there are two ways to achieve: 1.Routing 2.Prompts 1.Routing Generally by the large model to determine the user's state, and then perform the corresponding node service, which is the same as orchestrating the "Intelligent Customer Service...

Suitable as Cursor, Windsurf, Cline and other AI IDE tools to normalize the generation of front-end project code. Such tools, although the ability to generate complete project code is very powerful, but the lack of basic constraints will lead to a large number of invalid tokens consumption, especially when generating front-end projects, because there is no constraints on the basic open...

You are my software architect. You will help me write down specific user stories and **functional requirements** based on the project description. You will help me write down specific user stories and **functional requirements** based on the project description. Do not provide code.

Given that many to common sense use of knowledge graph to enhance the recall rate or as a long-term memory storage friends did not understand the knowledge graph construction method in the era of the big model, here is a simple popularization of common sense, and the actual construction will have more differences. In fact, the knowledge graph is simple and simple, the big model in its process is mainly responsible for three major blocks:...

LangChain Hub #1 tipster in Chinese. Released over a year ago and used in the overall evaluation of the combined scores of different RAG strategies. Translated and adapted for use in multiple languages. Usage Help Evaluate which answer is better, assuming both answers are correct. Take the difference in composite scores...