prompts.chat Open-Source Prompt Library Guide
A guide to prompts.chat, the open-source prompt library formerly known as Awesome ChatGPT Prompts, including when to use it and how teams can self-host it.
prompts.chat Open-Source Prompt Library Guide
Key takeaways#
prompts.chat is the project formerly known as Awesome ChatGPT Prompts. The repository describes it as a place to share, discover, and collect prompts from the community. Its README calls it the world's largest open-source prompt library for AI and says it works with ChatGPT, Claude, Gemini, Llama, Mistral, and more.
The project is a resource, not a model or a single agent app. Use it as a prompt library, prompt-writing reference, and self-hostable collection for teams that want a private prompt catalog.
What prompts.chat contains#
The repository points users to a browsable website at prompts.chat, a Hugging Face dataset, and the raw prompt collection in GitHub. The topics attached to the repository include prompt engineering, ChatGPT prompts, Claude, Gemini, GPT-4, LLMs, OpenAI, TypeScript, and open source.
That mix makes it useful for both beginners and experienced builders. Beginners can study prompt formats that already work for common tasks. Experienced teams can fork the repository, curate their own internal prompts, and remove examples that do not fit their use cases.
How builders should use it#
Start by searching for a task close to your target workflow: writing, coding, analysis, summarization, tutoring, or role-based prompting. Copy the prompt into your AI tool, then adapt it. Replace broad role instructions with concrete context, inputs, success criteria, and constraints.
For team use, treat prompts.chat as a seed library rather than a finished operating manual. Keep a versioned prompt catalog, record which model each prompt was tested with, and include examples of good and bad outputs. The repository's self-hosting angle is useful when prompts include private business context.
Limits#
A public prompt library cannot guarantee quality for every model or every task. Models change, policies change, and some older prompt patterns become less effective. Test prompts against current models before adding them to production workflows.
Source#
Primary source: f/prompts.chat on GitHub and prompts.chat.