Free AI Prompt Library - ChatGPT, Claude, Gemini

GitHub Copilot Prompt for Generating Unit Tests

GitHub Copilot has become an indispensable ally for developers looking to speed up writing unit tests. Thanks to its direct integration into the code editor, it analyzes the context of your source files to suggest relevant tests covering edge cases. However, the quality of generated tests heavily depends on the precision of the prompt used. A vague prompt will produce superficial tests, while a structured prompt will guide Copilot toward exhaustive coverage including nominal cases, expected errors, and boundary behaviors. In this guide, we offer an optimized prompt to generate robust unit tests with GitHub Copilot, regardless of your tech stack. You will learn how to formulate your instructions to obtain tests that follow your project's conventions, use the right test framework, and cover critical scenarios you might forget. Whether you work in JavaScript with Jest, Python with pytest, or Java with JUnit, these prompts adapt to your development environment.

GitHub Copilot Prompt to Create a Chatbot

GitHub Copilot has become an essential assistant for developers looking to accelerate the creation of conversational applications. Creating a chatbot involves many technical steps: system architecture, conversation flow management, integration of natural language processing APIs, and implementation of a responsive user interface. With a well-structured prompt, GitHub Copilot can generate the essential code, from the backend for message management to the logic for routing user intents. The challenge is to formulate a request precise enough for Copilot to understand the type of chatbot envisioned (customer support, automated FAQ, virtual assistant), the chosen tech stack, and expected features. An effective prompt allows you to go from idea to functional prototype in a fraction of the usual time, while producing maintainable and extensible code. In this guide, you will find an optimized main prompt as well as variants adapted to your expertise level, to fully leverage GitHub Copilot's potential in creating your chatbot.

GitHub Copilot Prompt to Create a Content Strategy

GitHub Copilot, initially designed as a development assistant, proves to be a formidable ally for creating content strategies. Thanks to its ability to understand complex instructions and generate structured text directly in your code editor, it allows marketers and content creators to design comprehensive editorial plans without leaving their work environment. Whether you manage a technical blog, product documentation, or a B2B content marketing strategy, Copilot can analyze your positioning, identify promising topics, and propose a coherent editorial calendar. The main advantage is its ability to cross-reference technical data (keywords, SEO structure, content formats) with a global strategic vision. By formulating a precise prompt that defines your audience, business objectives, and constraints, you get an actionable content strategy in minutes. This guide presents the optimal prompt for leveraging GitHub Copilot in this process, with variants adapted to your expertise level and the complexity of your editorial project.

GitHub Copilot Prompt for Defining a Positioning

GitHub Copilot, known primarily as a development assistant, proves to be a powerful tool for structuring strategic thinking such as defining a positioning. By leveraging its text generation capabilities directly in your code editor, you can quickly iterate on positioning frameworks, generate competitive matrices, and formulate unique value propositions. Copilot's advantage lies in its ability to work in a structured environment: by using Markdown files or comments as context, you guide the AI towards precise and actionable answers. Whether you are a startup founder looking to differentiate yourself, a marketing manager repositioning an existing offering, or a consultant supporting a client, this prompt allows you to produce a clear, memorable, and defensible positioning. The process leverages Copilot's sequential logic to break down positioning into its fundamental components: target audience, problem solved, key differentiator, and credibility proof. You thus obtain a complete positioning document that you can refine and share with your team.

GitHub Copilot Prompt for Generating Python Code

GitHub Copilot, the programming assistant powered by OpenAI's AI and integrated directly into your code editor, revolutionizes the way developers write Python. Whether you're developing a REST API, an automation script, or a data pipeline, the quality of the generated code depends directly on the precision of your instructions. A well-structured prompt transforms Copilot from a simple autocompletion tool into a true pair programmer capable of producing idiomatic, typed, and tested Python code. In this guide, you will discover optimized prompts to fully leverage GitHub Copilot's capabilities in your Python projects. Each prompt is designed to guide Copilot toward accurate responses by specifying the technical context, quality constraints, and expected output format. The goal is to reduce back-and-forth and obtain production-ready code on the first generation, adhering to PEP 8 conventions and best practices of the modern Python ecosystem.

GitHub Copilot Prompt for Creating a Media Kit

GitHub Copilot, the AI-powered coding assistant, is not limited to writing code. With its structured content generation capabilities, it becomes a valuable ally for creating a professional media kit directly in your development environment. Whether you are a content creator, startup, or agency, a well-designed media kit is essential to attract partnerships and showcase your key metrics. By using GitHub Copilot in a Markdown, HTML, or JSON file, you can quickly generate a complete structure including your bio, audience statistics, pricing, and past collaborations. The major advantage lies in Copilot's ability to understand the context of your project and suggest relevant sections tailored to your domain. This guide provides optimized prompts to fully leverage Copilot in creating a media kit that converts, with variants based on your expertise level and specific needs.

GitHub Copilot Prompt for Optimizing Conversion Rate

GitHub Copilot, the AI-powered code assistant, goes beyond standard code generation. In the context of conversion rate optimization (CRO), it becomes a powerful ally for quickly implementing A/B tests, analyzing behavioral data, and generating frontend code optimized for performance. Whether you're working on a landing page, a sales funnel, or a registration form, Copilot can help you write the code needed to track key metrics, implement design variants, and automate result analysis. CRO relies on an iterative cycle: measure, hypothesize, test, analyze. At each step, GitHub Copilot speeds up the process by generating clean, functional code for your analytics tools, UI components, and statistical analysis scripts. This guide provides an optimized main prompt as well as variants tailored to your skill level, to get the most out of Copilot in your CRO projects.

GitHub Copilot Prompt for Planning a Product Launch

GitHub Copilot, primarily known as a development assistant, proves to be a remarkably effective tool for structuring product launch plans. By leveraging its contextual generation capabilities, you can turn a simple idea into a detailed action plan covering all critical phases: pre-launch, launch day, and post-launch. Whether you are a product manager, project manager, or startup founder, GitHub Copilot helps you leave nothing out by relying on market best practices. The key advantage lies in its ability to produce structured deliverables — timelines, checklists, responsibility matrices — directly usable by your team. Rather than starting from a blank page or a generic template, you get a personalized plan that takes into account your specific context: product type, team size, budget, and time constraints. This prompt is designed to extract maximum value from Copilot in a strategic planning context, guiding the AI toward actionable recommendations rather than generalities.

Sora Prompt for Writing LinkedIn Posts

Sora, the artificial intelligence tool developed by OpenAI, opens new perspectives for creating professional content on LinkedIn. By combining its generation capabilities with well-structured prompts, you can produce impactful LinkedIn posts that capture your network's attention, strengthen your personal branding, and generate engagement. Whether you are an entrepreneur, consultant, recruiter, or senior executive, knowing how to craft an effective prompt for Sora allows you to save considerable time while maintaining a high quality level. LinkedIn has become the go-to platform for professional networking with over 900 million users, so mastering the art of the LinkedIn post is a strategic lever. The best posts follow proven structures: strong hook, storytelling, added value, and call to action. With Sora, you can systematize these best practices by integrating them directly into your prompts. This guide offers you an optimized main prompt as well as variants adapted to your level of expertise, to turn each publication into an opportunity for professional visibility.

GitHub Copilot Prompt to Create a Loyalty Program

GitHub Copilot is an AI-powered development assistant that excels at generating structured and functional code. To create a loyalty program, Copilot becomes a valuable ally: it understands complex business logic like point calculations, reward tiers, expiration rules, and customer engagement mechanics. By formulating a precise prompt, you get a complete architecture covering the data model, APIs, point accumulation and redemption logic, and administrative interfaces. Whether you're developing a tiered program for e-commerce, a cashback system for a mobile app, or a referral program for a marketplace, GitHub Copilot generates production-ready code following best practices for your tech stack. The main challenge is to clearly specify business rules — point conversion rates, reward unlock conditions, member status management — so that the generated code is directly usable. This guide offers an optimized prompt and its variants for creating a robust, scalable loyalty program tailored to your specific needs.

GitHub Copilot Prompt to Create a Sales Funnel

GitHub Copilot, the AI-powered coding assistant, is not limited to writing functions or unit tests. Used with the right prompts, it becomes a formidable ally to build a complete sales funnel directly in your code editor. Whether you are developing a landing page, an email capture form, a sequence of payment pages, or an automated follow-up system, Copilot can generate the HTML, CSS, JavaScript, and backend code needed at each step of the funnel. The major advantage lies in execution speed: where a developer would spend hours wiring up funnel components, Copilot produces functional structures in minutes. By combining precise instructions on the funnel architecture with details about your offer and target audience, you get clean, responsive, and conversion-optimized code. This guide offers a main prompt as well as variants adapted to your technical level to create a high-performing sales funnel with GitHub Copilot, from opt-in form to order confirmation page.

GitHub Copilot Prompt for Creating an Advertising Script

GitHub Copilot, the AI-powered coding assistant from GitHub, is not limited to code generation. Thanks to its natural language understanding capabilities, it can be creatively repurposed to produce structured and impactful advertising scripts. Whether you are a copywriter, marketer, or entrepreneur, using Copilot to write an advertising script allows you to benefit from a logical and reproducible structure typical of tools designed for developers. By formulating a precise prompt in a commented file or a Markdown document within your editor, you can obtain a complete advertising script incorporating storytelling codes, emotional triggers, and calls to action that convert. The main advantage lies in the speed of iteration: you can generate multiple variants in seconds, test different angles, and refine your message without leaving your work environment. This approach is particularly effective for tech teams that also manage their marketing, or for content creators already working in VS Code. Discover how to structure your prompts to get the most out of GitHub Copilot in creating professional advertising scripts.