Free AI Prompt Library - ChatGPT, Claude, Gemini

Perplexity Prompt for Writing an Email

Perplexity stands out from other AI assistants by combining real-time web search with text generation. For email writing, this advantage is significant: Perplexity can search for communication conventions specific to your industry, verify factual information, and draw inspiration from best writing practices before producing your message. Whether you are writing a sales email to a prospect, a follow-up to a silent client, or a sensitive message to your superiors, Perplexity helps you find the right tone based on concrete data. Unlike a simple text generator, it contextualizes your request by cross-referencing reliable sources, resulting in more relevant, better-structured emails that align with current professional communication standards. This page offers an optimized main prompt along with three variants based on your level, to turn Perplexity into your everyday email writing assistant.

GitHub Copilot Prompt for Planning a Meeting

GitHub Copilot, the AI assistant integrated into code editors, can also serve as a productivity tool for organizational tasks such as meeting planning. By leveraging its structured text generation capabilities, you can create detailed agendas, professional invitations, meeting minutes templates, and action plans directly from your work environment. Whether you are a project manager coordinating sprints, a developer organizing a code review, or a tech lead preparing a retrospective, GitHub Copilot helps you structure your meetings methodically. The main advantage lies in seamless integration with your daily workflow: no need to switch tools, you generate your meeting documents where you already work. By formulating a precise prompt including context, participants, objectives, and time constraints, you get a complete meeting plan in seconds, ready to be shared with your team. This approach ensures more productive, well-framed meetings with measurable results.

GitHub Copilot Prompt for Organizing a Project

GitHub Copilot is not limited to code completion: it is a true project assistant capable of helping you structure, plan, and organize your entire development. Whether you are starting a new project from scratch or taking over an existing codebase, Copilot can generate coherent folder structures, propose naming conventions, create essential configuration files, and even draft a technical roadmap. By formulating the right prompt, you turn Copilot into a software architect that analyzes your needs, anticipates dependencies, and produces a ready-to-use project skeleton. This approach saves you hours of manual setup and ensures your project follows best practices from the first commit. On this page, you will find a main optimized prompt, variants adapted to your experience level, and answers to frequently asked questions about project organization with GitHub Copilot.

GitHub Copilot Prompt for Brainstorming Ideas

GitHub Copilot, the AI assistant integrated directly into your code editor, isn't limited to autocompletion. It's a remarkably effective brainstorming partner for exploring project, architecture, or feature ideas. By crafting precise prompts in your code comments or via the Copilot chat, you can generate dozens of creative leads in seconds, where a traditional brainstorming session would take hours. Copilot's main advantage for brainstorming is its technical grounding: unlike a general-purpose tool, it proposes ideas directly applicable to your development context, with a fine understanding of frameworks, architectural patterns, and technical constraints. Whether you're looking to innovate on an existing product, explore new features for an API, or imagine original solutions to a technical problem, Copilot turns your editor into an augmented creativity room. This guide provides optimized prompts to get the most out of this lesser-known capability of GitHub Copilot.

GitHub Copilot Prompt for Automating Customer Service

GitHub Copilot, GitHub's AI-powered code assistant, proves to be a formidable ally for automating customer service. By leveraging its code generation and contextual understanding capabilities, you can create automated response systems, intelligent chatbots, and customer request processing pipelines in a fraction of the usual time. Whether you're developing a ticketing system, a support bot integrated with Slack or Discord, or an API for managing incoming requests, Copilot accelerates every step of the process. Customer service automation goes beyond answering frequently asked questions: it encompasses intelligent request routing, sentiment analysis, automatic ticket categorization, and escalation to a human agent when necessary. With the right prompt, GitHub Copilot generates production-ready code that integrates these features coherently. This guide provides you with optimized prompts to get the most out of Copilot in this context, with variants suited to your expertise level and the complexity of your existing infrastructure.

GitHub Copilot Prompt to Create a Presentation

GitHub Copilot, GitHub's AI assistant integrated into code editors, can also be a formidable ally for creating professional presentations. Whether you need to generate HTML/CSS code for reveal.js slides, structure Markdown content for Marp, or produce PowerPoint files via Python scripts, Copilot significantly speeds up the process. The key advantage lies in its ability to understand the context of your project: it can extract the essential points from your source code, generate architecture diagrams, and produce slides consistent with your existing codebase. By crafting a precise prompt detailing the topic, target audience, number of slides, and desired format, you get a complete presentation structure in seconds. This approach is particularly effective for developers presenting technical reviews, feature demonstrations, or internal training, as Copilot can directly include relevant code snippets and functional examples in the generated slides.

GitHub Copilot Prompt for Creating a Knowledge Base

GitHub Copilot, the AI development assistant integrated into code editors, proves to be a powerful ally for creating structured and maintainable knowledge bases. Whether you want to centralize your team's technical documentation, organize internal procedures, or build a collaborative wiki, Copilot can accompany you at every step: from designing the data schema to generating content templates, including automating indexing and search. The main challenge lies in initial structuring: a poorly architected knowledge base quickly becomes a cemetery of unusable documents. With well-formulated prompts, you can ask Copilot to generate consistent file structures, data models adapted to your domain, and import scripts to feed your base from existing sources. This page offers an optimized main prompt as well as variants adapted to your level, to fully leverage GitHub Copilot in creating a robust, scalable, and easily consultable knowledge base for your entire organization.

GitHub Copilot Prompt for Interview Preparation

GitHub Copilot, the AI development assistant integrated into code editors, can become a formidable ally for preparing technical or professional interviews. By leveraging its code and text generation capabilities, you can simulate interview questions, structure your answers using the STAR method, generate coding exercises in real conditions, and anticipate classic recruiter traps. Whether you are preparing for an interview as a developer, data scientist, or technical project manager, Copilot helps you organize your ideas, formulate impactful responses, and practice on practical cases. The key advantage lies in its ability to contextualize questions according to the target position, the company's tech stack, and your experience level. Rather than browsing generic lists of questions online, you get a personalized preparation program directly in your work environment. This approach allows you to combine technical review and interview simulation in a unified workflow, maximizing your preparation time.

GitHub Copilot Prompt for Translating a Text

GitHub Copilot, the AI development assistant created by GitHub and OpenAI, is not limited to code generation. Integrated directly into your editor (VS Code, JetBrains, Neovim), it can also serve as a powerful translation tool for your multilingual projects. Whether you need to translate localization files (i18n), code comments, technical documentation, or user interfaces, Copilot understands your project context and produces translations consistent with your existing terminology. Its main advantage lies in its ability to maintain source code formatting intact — HTML tags, interpolation variables, JSON keys — while translating only the textual content. This editor-integrated approach avoids back-and-forth with external tools and ensures your translations respect your codebase's technical conventions. Here is an optimized prompt to fully leverage GitHub Copilot in your translation tasks.

GitHub Copilot Prompt to Create a Resume

GitHub Copilot, the AI coding assistant integrated into code editors, can be creatively repurposed to generate professional resumes in HTML, LaTeX or Markdown. By leveraging its ability to understand context and produce structured code, you can create a visually polished and technically flawless resume. Whether you are a developer wanting a code-formatted resume or a professional seeking a well-structured document, Copilot excels at generating responsive, customizable templates. The major advantage lies in its understanding of web best practices: accessibility, semantic HTML, modern CSS layout. Instead of starting from a generic template, you get a tailored resume where you control every element. This approach is especially relevant for tech profiles who want to demonstrate their skills from the very presentation of their application. With the right prompt, Copilot generates a complete, structured resume ready to be exported as PDF.

GitHub Copilot Prompt for Text Correction

GitHub Copilot, GitHub's AI assistant integrated directly into your code editor, is not limited to code generation. It also excels at correcting and improving texts, whether technical documentation, README files, code comments, or editorial content. By leveraging its linguistic understanding capabilities, you can entrust it with proofreading your texts to identify and fix spelling, grammar, syntax, and style errors. This approach is particularly valuable for developers writing multilingual documentation or clear commit messages. Instead of switching to an external tool, you stay in your usual work environment, streamlining your workflow. The prompt we offer here is structured to guide Copilot precisely: it defines the expected role, the types of corrections desired, and the output format, ensuring consistent and actionable results every time.

GitHub Copilot Prompt: Generate a Review Plan

GitHub Copilot goes beyond code completion: it's an assistant capable of structuring comprehensive review plans for your software projects. Whether you are preparing a code review before deployment, a major refactoring, or a security audit, a well-crafted prompt enables Copilot to produce a methodical plan covering every critical aspect. The challenge is to provide enough context about your codebase, goals, and constraints so that the generated plan is actionable, not generic. A good review plan identifies risk areas, prioritizes checks, and proposes clear acceptance criteria. By using Copilot Chat in your IDE, you can quickly iterate on this plan by confronting it directly with the source code open in your editor. This approach transforms a often overlooked task—structured review planning—into a fast and reproducible process that improves overall code quality and reduces regressions in production.