Never Lose Your AI Prompts Again: Building a Personal Prompt Library

Hey AI enthusiasts! 👋

Today, I want to share a powerful tool I've been working on that solves a common problem for anyone working with AI: managing and reusing your most effective prompts.

The Problem with Prompts

If you're like me, you've probably crafted some really effective prompts for your AI interactions. But where do you keep them? How do you organize them? And most importantly, how do you make them easily accessible when you need them?

Introducing the Prompt Library System

I've developed a solution that makes managing your AI prompts as simple as possible. It's a prompt library that integrates directly with Cursor (the AI-powered IDE) through MCP (Multi-Command Protocol).

Key Features:

1. Easy Access: List all your available prompts with a simple command

2. Quick Loading: Load any prompt instantly when you need it

3. Simple Updates: Save and iterate on your prompts effortlessly

How It Works

The setup is surprisingly simple. Here's what you need:

1. A .cursor/mcp.json configuration that looks like this:

{
  "mcpServers": {
    "prompt-library": {
      "command": "uv",
      "args": ["run", "/Users/wschenk/prompt-library/run-prompt", "mcp"],
      "cwd": "/Users/wschenk/prompt-library"
    }
  }
}

This configuration exposes three powerful commands:

• list-prompts: See all available prompts

• load-prompt: Retrieve a specific prompt

• save-prompt: Store a new prompt

Real-World Usage

The beauty of this system is in its flexibility. Here are some practical examples:

1. Library Evaluation: "Write a markdown prompt that helps evaluate different libraries and save the prompt"

2. Technical Decision Making: "Load the library evaluation prompt, which typescript testing library should i use"

3. Content Analysis: "Load up the visual metaphor prompt and ask it about this markdown file"

Why This Matters

Having a well-organized prompt library isn't just about keeping things tidy. It's about:

• Consistency in your AI interactions

• Rapid iteration on what works

• Building an increasingly valuable personal knowledge base

• Saving time by not recreating prompts from scratch

Get Started

You can find the complete prompt library implementation in my GitHub repository.

What's Next?

I'm continuously working on improving this system. Some ideas I'm exploring:

• Categories and tags for better organization

• Version control for prompts

• Prompt sharing and collaboration features

What features would you like to see in a prompt management system? Reply to this email with your thoughts!

Happy prompting!

P.S. If you found this useful, feel free to star the repository and share it with your AI-enthusiast friends!