The Prompt Library
A curated collection of public libraries for inspiration and advice on creating your own personal prompt library.
The Prompt Library
One of the best ways to improve your prompting skills is to study high-quality examples. A prompt library is a curated collection of prompts designed for various tasks, which you can use for inspiration or adapt for your own needs.
This page contains links to some of the best and most comprehensive prompt libraries on the web.
Curated Public Libraries
These repositories are excellent starting points, maintained by the community and filled with thousands of examples.
A massive and very popular collection of prompt examples for a huge variety of tasks, from creative writing to acting as a Linux terminal. A great place to explore what's possible.
The Prompt Engineering Guide Repository
This GitHub repository supports the popular guide and contains a wealth of examples, particularly for more academic and technical prompting techniques.
A clean, searchable website that showcases a wide range of prompts for different models (ChatGPT, Midjourney, etc.). It's less technical and more focused on general and creative use cases.
The Value of a Personal Library
While public libraries are great for inspiration, the most powerful tool you can have is your own personal prompt library.
As you work with LLMs, you will naturally discover and refine prompts that work exceptionally well for your specific needs. It is crucial to save and organize these successful prompts.
How to Start Your Personal Library:
Choose a Tool: It doesn't need to be complicated. You can use:
A simple text file on your computer.
A note-taking app like Notion, Obsidian, or Evernote.
A spreadsheet to track the prompt, the task, and its performance.
Save Successful Prompts: Whenever a prompt gives you a great result, save it.
Add Context: Briefly write down why it worked. Did you use a specific persona? A clear format? This context is vital for reusing it later.
Organize by Task: Group your prompts by category (e.g., "Email Writing," "Code Debugging," "Data Analysis," "Creative Summaries").
Over time, you will build a powerful, personalized toolkit that will make your work with AI dramatically faster and more effective.
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