{"slug": "i-built-an-open-source-prompt-library-for-developers-creators-and-ai-power-users", "title": "I Built an Open-Source Prompt Library for Developers, Creators, and AI Power Users", "summary": "A developer built Prompt Empir, an open-source AI prompt library designed to help developers, creators, and AI power users discover, copy, improve, and share high-quality prompts. The library organizes prompts by professional use case, supports major AI tools like ChatGPT, Claude, Gemini, and Midjourney, and standardizes prompt structure for reusability. The project is available on GitHub and includes a website built with Next.js and Tailwind CSS.", "body_md": "AI is everywhere now.\n\nDevelopers use it to debug code. Designers use it to generate concepts. Founders use it to validate ideas. Marketers use it to write campaigns. Students use it to learn faster. Creators use it to produce images, videos, scripts, and music.\n\nBut there is still one annoying problem:\n\nMost people are rewriting prompts from scratch every single day.**\n\nThe same debugging prompt.\n\nThe same landing page prompt.\n\nThe same SEO prompt.\n\nThe same product strategy prompt.\n\nThe same image generation prompt.\n\nThe same resume prompt.\n\nThe same study prompt.\n\nSo I built **Prompt Empir** — a professional, open-source AI prompt library designed to make high-quality prompts easier to discover, copy, improve, and share.\n\nGitHub repo: [https://github.com/gavuvapro/prompt-empire](https://github.com/gavuvapro/prompt-empire)\n\n**Prompt Empir** is a curated open-source collection of reusable prompts for major AI tools and real professional workflows.\n\nIt is built for:\n\nThe goal is simple:\n\nMake prompt engineering practical, organized, reusable, and open-source.\n\nInstead of keeping your best prompts scattered across Notion, Google Docs, random chats, and browser bookmarks, Prompt Empir gives them a clean home.\n\nThere are many AI prompt lists online, but most of them have the same problems:\n\nI wanted something that feels closer to:\n\nA prompt library should not just be a list of random phrases.\n\nA good prompt is a reusable workflow.\n\nIt should include context, constraints, role, expected output, use cases, and example results.\n\nThat is what Prompt Empir is trying to standardize.\n\nPrompt Empir is not only for ChatGPT.\n\nIt includes prompts for many major AI systems, including:\n\nThis makes the project useful for people working across text, code, design, image generation, video generation, and audio generation.\n\nPrompt Empir is organized by professional use case, not just by tool.\n\nCurrent categories include:\n\nThe idea is to make it easy to find prompts based on what you are trying to do.\n\nNot just:\n\n“Give me a ChatGPT prompt.”\n\nBut:\n\n“Give me a prompt to review a Next.js API route for security issues.”\n\nOr:\n\n“Give me a prompt to create a SaaS pricing strategy.”\n\nOr:\n\n“Give me a prompt to generate a cinematic Runway video ad shot list.”\n\nEach prompt is written in Markdown and follows a consistent structure:\n\n```\n# Prompt Title\n\n## Description\nExplain what the prompt does.\n\n## Best AI Models\n- ChatGPT\n- Claude\n- Gemini\n\n## Use Cases\n- Example 1\n- Example 2\n\n## Prompt\n[prompt here]\n\n## Example Output\n[sample output]\n```\n\nThis makes the repository easy to read on GitHub and easy to convert into a website.\n\nIt also makes contributions easier because everyone follows the same standard.\n\nHere is the kind of prompt structure the project encourages:\n\n```\n# Production API Design Review\n\n## Description\nReviews REST or GraphQL API designs for correctness, security, scalability, and developer experience.\n\n## Best AI Models\n- ChatGPT\n- Claude\n- DeepSeek\n- GitHub Copilot\n\n## Use Cases\n- Validate endpoint design\n- Improve API documentation\n\n## Prompt\n\nYou are a principal backend architect. Review this API design for resource modeling, authentication, authorization, validation, pagination, errors, idempotency, rate limiting, observability, and versioning.\n\nProvide a concise scorecard and improved endpoint examples.\n\nAPI draft:\n{{api_draft}}\n\nBusiness requirements:\n{{requirements}}\n\n## Example Output\n\nScorecard: Authentication 8/10, Authorization 5/10.\nRecommendation: add object-level authorization checks for GET /projects/{id} and use cursor pagination for list endpoints.\n```\n\nNotice that this is not just “write an API prompt.”\n\nIt gives the AI a role, a task, evaluation areas, context placeholders, and a clear output expectation.\n\nThat is what makes prompts more reusable.\n\nPrompt Empir is not only a GitHub folder.\n\nIt also includes a website built with:\n\nThe website supports:\n\nThis means the project can work both as:\n\nPrompt quality improves when people can inspect, discuss, edit, and contribute.\n\nOpen-source makes this possible.\n\nAnyone can:\n\nThe contribution flow is simple:\n\n```\ngit clone https://github.com/gavuvapro/prompt-empire.git\ncd prompt-empire\n```\n\nThen:\n\nThe project uses the MIT License, so it is friendly for learning, remixing, and professional use.\n\nUse prompts for:\n\nUse prompts for:\n\nUse prompts for:\n\nUse prompts for:\n\nUse prompts for:\n\nUse prompts for:\n\nOne lesson I learned while building this project:\n\n**A good prompt is not just a command. It is a structured request.**\n\nThe best prompts usually include:\n\nBad prompt:\n\n```\nWrite a landing page.\n```\n\nBetter prompt:\n\n```\nAct as a senior conversion copywriter.\nWrite landing page copy for {{product}} targeting {{audience}}.\nInclude hero headline, subheadline, benefits, objections, social proof, FAQ, and CTA variants.\nUse a clear, confident, non-hype tone.\n```\n\nThat difference matters.\n\nThe first prompt gives you generic output.\n\nThe second prompt gives the AI a job, a user, a structure, and a quality bar.\n\nAI tools are becoming more powerful, but many people still do not know how to communicate with them effectively.\n\nPrompt Empir can help by giving people reusable examples they can learn from.\n\nIt can become:\n\nThe long-term vision is to make professional prompting less mysterious and more practical.\n\nSome possible future improvements:\n\nIf you have ideas, open an issue or submit a PR.\n\nIf you like the idea, the best way to support it is simple:\n\nGitHub repo:\n\n[https://github.com/gavuvapro/prompt-empire](https://github.com/gavuvapro/prompt-empire)\n\nAI is changing how we work, but better tools alone are not enough.\n\nWe also need better workflows.\n\nPrompts are becoming part of how people think, build, learn, design, sell, research, and create.\n\nSo instead of keeping good prompts hidden in private chats, I think we should make them easier to share, improve, and reuse.\n\nThat is the idea behind **Prompt Empir**.\n\nIf this sounds useful, check it out, star the repo, and contribute a prompt:\n\n[https://github.com/gavuvapro/prompt-empire](https://github.com/gavuvapro/prompt-empire)\n\nYou got an idea or insight? Leave it in the comment section.\n\nLet’s build the most useful open-source prompt library together.", "url": "https://wpnews.pro/news/i-built-an-open-source-prompt-library-for-developers-creators-and-ai-power-users", "canonical_source": "https://dev.to/fabish/i-built-an-open-source-prompt-library-for-developers-creators-and-ai-power-users-14dj", "published_at": "2026-06-19 12:19:34+00:00", "updated_at": "2026-06-19 12:37:16.052918+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "generative-ai", "developer-tools", "ai-tools"], "entities": ["Prompt Empir", "ChatGPT", "Claude", "Gemini", "Midjourney", "GitHub", "Next.js", "Tailwind CSS"], "alternates": {"html": "https://wpnews.pro/news/i-built-an-open-source-prompt-library-for-developers-creators-and-ai-power-users", "markdown": "https://wpnews.pro/news/i-built-an-open-source-prompt-library-for-developers-creators-and-ai-power-users.md", "text": "https://wpnews.pro/news/i-built-an-open-source-prompt-library-for-developers-creators-and-ai-power-users.txt", "jsonld": "https://wpnews.pro/news/i-built-an-open-source-prompt-library-for-developers-creators-and-ai-power-users.jsonld"}}