Yao Open Prompts is a Python project that serves as a Chinese AI prompt library. It addresses the need for structured, ready-to-use prompts specifically designed for Chinese language applications across various domains. The project organizes prompts by different life and work scenarios, making it easier for Chinese-speaking users to leverage AI tools effectively without having to create prompts from scratch.

Core features

  • Comprehensive prompt categories: Covers work, study, content creation, marketing, and daily life scenarios
  • Pre-structured templates: Provides ready-to-use prompt formats for different AI applications
  • Chinese language focus: Specifically tailored for Chinese language AI interactions
  • Organized repository: Systematically categorized for easy navigation and reference
  • Open-source collaboration: Community-driven approach to expanding the prompt library

Getting it running

The project can be set up using Python with pip. First, clone the repository:

git clone https://github.com/yaojingang/yao-open-prompts.git
cd yao-open-prompts

Then install the required dependencies:

pip install -r requirements.txt

The project can be run directly or integrated with other applications through its prompt library.

Who this is for

Yao Open Prompts targets Chinese-speaking professionals and enthusiasts who use AI tools in their daily work or personal projects. Content creators, marketers, students, and professionals across various industries can benefit from its categorized prompt templates. The project is particularly valuable for those who want to save time on prompt engineering or need examples of how to structure effective prompts for different scenarios.

How it compares

Unlike general-purpose prompt repositories that may focus on English language applications, Yao Open Prompts specializes in Chinese language prompts. This specialization makes it more relevant for Chinese-speaking users than broader libraries. Compared to building a custom prompt library from scratch, this project offers immediate value with pre-vetted templates organized by use case. It's more focused than general AI toolkits but may not provide the same level of customization as developing a personalized prompt system.

The source is on GitHub where the project has accumulated 2089 stars from the community.