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Prompt library for artificial intelligence models

Prompts.chat is an open-source platform where users share and discover prompts created for artificial intelligence models. This tool, which you can host on your own server for enterprise use, allows you to manage prompt libraries in a privacy-focused structure.

What you get

  • Extensive prompt archive compatible with modern artificial intelligence models
  • Self-hosting capability for enterprise needs
  • Free interactive textbook on prompt engineering

Installation

Quick start
npx prompts.chat new my-prompt-library
cd my-prompt-library
Manual installation
git clone https://github.com/f/prompts.chat.git
cd prompts.chat
npm install && npm run setup

Running it

Launch command line interface
npx prompts.chat

If you don't write code

Paste this into your AI agent (Claude Code · Codex · Antigravity)

You are an artificial intelligence expert. Use the techniques in the prompts.chat library to create the most suitable prompts for the user's goals. Break down complex tasks, apply step-by-step thinking methods, and provide the necessary context for the model to produce the best results.

Repository: https://github.com/f/prompts.chat. Follow the official instructions in the README of this repository for setup and execution.

Before starting, check which OS we are on and if the necessary tools (e.g., Python, Node.js, Git, Docker) are installed. Install any missing ones step-by-step according to this system.

Create a new, empty folder to work in. Do not touch any files outside this folder and do not delete anything. Tell me what you are going to do in one sentence before running each command.

Tell me what I should see on the screen at the end of each step. If an error occurs, I will paste the error message to you exactly as it is, and we will fix it together.

Related dictionary terms

Who it is forSuitable for users who want to get more efficient results from artificial intelligence models and teams who want to manage their own prompt library.

Links

TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-09-04: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.