The Secret Sauce: A GitHub Repo Full of Leaked AI Prompts

Ever wonder how people get AI models to produce such specific, structured, or oddly creative outputs? The magic often lies in the system prompt—the initial set of instructions hidden from the user that sets the AI's behavior, tone, and constraints. Finding good ones is usually a mix of art, guesswork, and experimentation. What if you could just see them?

That's exactly what the system_prompts_leaks repository offers. It's a growing, crowdsourced collection of extracted system prompts and instructions from various AI tools and platforms. For developers and prompt engineers, it's like finding a treasure trove of blueprints.

What It Does

In short, this GitHub repo is a curated list. It contains text files and documentation that reveal the initial "system" instructions given to AI models in popular applications, research projects, and tools. These are the prompts that run in the background, shaping the AI's persona, defining its rules, and framing its responses before a user ever types a word.

Think of it as a peek under the hood. Instead of seeing just the car's performance, you get to read the engineer's exact tuning manual.

Why It's Cool

This isn't just about copying prompts (though that's a valid learning technique). The real value is in understanding the patterns.

• Learn Prompt Engineering: See how experts craft instructions to reduce hallucinations, enforce JSON output, or create a specific character. It's a fantastic learning resource.
• Benchmarking & Inspiration: Struggling to get your AI agent to behave? Browse these prompts for proven strategies and structural ideas you can adapt.
• Transparency & Research: It provides a unique lens into how commercial and open-source projects are steering their AI, which is often opaque.
• It's a Living Archive: The repo is open for contributions. As more prompts are discovered or reverse-engineered, the collection grows, making it a community-driven knowledge base.

How to Try It

There's nothing to install. This is a reference repository.

1. Head over to the repo: github.com/asgeirtj/system_prompts_leaks
2. Browse the folders and .txt files. They're organized by source or tool name where possible.
3. Read them. Use them as a starting point for your own projects. Learn the tricks.

Want to contribute? If you've managed to extract a system prompt, check the repo's guidelines for submitting a pull request.

Final Thoughts

As a developer, I find this repo incredibly practical. Prompt engineering is becoming a core skill, and this collection cuts through a lot of the trial-and-error. It demystifies how complex AI behaviors are often initiated by a cleverly written paragraph or two.

Don't just copy and paste—use it to dissect the logic. Why did they put that rule first? How are they avoiding common pitfalls? This repo is less about shortcuts and more about education, giving us all a better foundation for building more effective and reliable AI-powered features.

Follow us for more interesting projects: @githubprojects