Setting Up a Prompt Catalog on GitHub for OpenAI Assistant Requests

A Prompt Catalog on GitHub allows you to centrally manage and version-control prompts for use with the OpenAI Assistant API. This guide walks through setting up a structured catalog in a GitHub repository.

Benefits of a GitHub-Hosted Prompt Catalog

• Centralized Management: Keep all prompts in one repository.
• Version Control: Track changes to prompts over time.
• Collaboration: Easily share and collaborate on prompts with team members.
• Automation: Enable dynamic retrieval of prompts in applications or workflows.

Step 1: Create a GitHub Repository

1. Create a new repository on GitHub:

   • Navigate to GitHub.
   • Click New Repository and name it (e.g., openai-prompt-catalog).

2. Organize the repository:

   • Structure the repository into directories:

     openai-prompt-catalog/
     ├── prompts/
     │   ├── general/
     │   │   └── welcome_message.json
     │   ├── technical/
     │   │   └── code_explanation.json
     │   └── creative/
     │       └── story_idea.json
     └── README.md
     

Step 2: Define Prompt Structure

Standardize your prompt format to ensure consistency and ease of use. Use JSON or YAML for structured data.

Example JSON Prompt File

prompts/general/welcome_message.json:

{
  "name": "welcome_message",
  "description": "Generate a friendly welcome message for new users.",
  "content": "Create a warm and professional welcome message for a new user visiting our platform for the first time."
}

Example YAML Prompt File prompts/technical/code_explanation.yaml:

yaml Copy code name: code_explanation description: “Explain the functionality of a code snippet in simple terms.” content: “Explain the following Python code snippet in simple terms: {code}” Step 3: Add a README File Provide clear documentation for your catalog in the README.md file.

Sample README Content markdown Copy code

OpenAI Prompt Catalog

This repository hosts a collection of prompts for use with the OpenAI Assistant API. Prompts are categorized and maintained to facilitate various use cases.

Structure

• General: Prompts for common conversational tasks.
• Technical: Prompts for code explanation, debugging, or technical content.
• Creative: Prompts for generating stories, ideas, or creative content.

Example Prompt

prompts/general/welcome_message.json:

{
  "name": "welcome_message",
  "description": "Generate a friendly welcome message for new users.",
  "content": "Create a warm and professional welcome message for a new user visiting our platform for the first time."
}
Usage
Clone the repository:
bash
Copy code
git clone https://github.com/your-username/openai-prompt-catalog.git
Load prompts into your application.
Use prompts as input for OpenAI API calls.
Contributing
Fork the repository.
Create a new branch.
Add or update prompts in the appropriate category.
Submit a pull request.