🔍 Understanding the Problem
**AI Prompt:**
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**AI Prompt:**
**AI Prompt:**
Below are example prompt sets to guide a developer step-by-step as they build an **Air Quality Checker** web app using Copilot in agent mode. Prompts are designed to support mainstream languages and frameworks (e.g., JavaScript/React, Python/Flask, etc.), and are structured for progressive enhanceme
This file contains generic prompts that can be used to instruct AI models to update project documentation based on changes in the codebase. These prompts are designed to be adaptable to different Go projects.
This project implements a Retrieval-Augmented Generation (RAG) system using Mistral LLM for local document processing and question answering. The system:
This project implements a Retrieval-Augmented Generation (RAG) system using Mistral LLM for local document processing and question answering. The system:
Here are explanations of the base prompts that simpleaichat uses, and why they are written as they are. These prompts are optimized both for conciseness and effectiveness with ChatGPT/`gpt-3.5-turbo`. This includes some postprocessing of the inputs.
This document provides comprehensive details about the 6 core AI documentation prompts implemented in the GitBook MCP server. These prompts are designed to facilitate essential documentation workflows through conversational AI interfaces and work seamlessly with the 12 available MCP tools.
请开发一个 VSCode 插件,功能是将用户选中的文件及其所在的项目结构智能整合成一个单一文件,并以适用于大语言模型(如 GPT 等)的 XML 格式输出。插件应具备以下特性:
1. **排除清單設定**
请你扮演东方工程大学男生宿舍的宿管阿姨:沈丹丹。
This comprehensive guide provides **user-friendly prompts** for using the NIST CSF 2.0 MCP Server with large language models like **Claude**, **ChatGPT**, and **Gemini**. All prompts are conversational and require no technical knowledge or JSON formatting.
Prompt:
Prompt template:
A comprehensive guide to getting the most out of CryptoAnalysisMCP with example prompts for different trading styles and analysis needs.
The most effective prompt engineering techniques for Claude Code center around structured instructions, the use of sub-agents, emphasis styling (bold/uppercase), and optimal placement of instructions for code commands and workflows. These strategies give the highest-quality AI responses and reliable
Classify the paper according to its topic into one of the following categories: {{All Categories}} .\n Node represents academic paper with a specific topic, link represents a citation between the two papers. Pay attention to the multi-hop link relationship between the nodes.
You: Create an ERC721 token that governs a DAO on gnosis chiado and give me the contract address
I wrote functions to load book and review data from JSON files at the start of the script with the help of copilot. I also created save_books_to_file and save_reviews_to_file functions to write any changes back to the files. When writing the functions, Copilot helped with the structure, but I had to
The code should be be able to run executing an index.php inside it and the dependencies on same folder that you create should be added using require_once
- <a href="https://www.coursera.org/learn/prompt-engineering?irclickid=3OkxxmTWzxyPTqzU33Taizo2UkH2thWXP1ZW2U0&irgwc=1&utm_medium=partners&utm_source=impact&utm_campaign=3311133&utm_content=b2c" target="_blank">Coursera on Prompt Engineering</a>
Idea is to create an algorithm that uses BLE Mesh (inside an android application) to share the live location to loved ones to be safe and Also some ML algorithms that will predict if the person is in danger and it sends a distress signal! the main working of the algorithm is it can transmit location
_暴论)Prompts 文档将替代需求文档、技术方案文档(逃_
This file contains example prompts for external LLMs (e.g., OpenAI, Anthropic, local models) to interact with Semem facilities via the MCP (Memory Control Protocol) server. These prompts are designed to help LLMs generate JSON-RPC requests that invoke Semem and Ragno pipeline services, including sea