
PromptCraft
A public collection of system prompts from ChatGPT-based products and custom GPTs, for studying prompt writingLouisShark/chatgpt_system_prompt
- Stars
- 10.8k
- Forks
- 1.5k
- Licence
- MIT
- Language
- HTML
- Last update
- 24 days ago
- Type
- Learning resource
What it is
This repository gathers system prompts (the hidden instructions that shape how an AI assistant behaves) from ChatGPT and various other AI products and custom GPTs. It also includes material on prompt injection and prompt leaking, which are ways people try to extract those hidden instructions. The README presents it mainly as an educational resource for learning how system prompts are written and how to protect them.
- Browse the table of contents in TOC.md to find the instructions for a specific custom GPT
- Study how different GPTs structure their instructions as a model for your own prompts
- Read the security guide to learn how to protect your own GPT instructions
- Explore the linked learning resources for prompt engineering
Great for
- People learning how to write system prompts for custom GPTs
- Developers who want examples of how others structure AI instructions
- Security-minded builders studying how prompt leaking works so they can guard their own GPTs
- Students of prompt engineering looking for real-world examples
Not ideal for
- Anyone expecting ready-to-run software, since the README describes a collection of text, not an application
- People who need a verified or current list of official vendor prompts, because the README does not state how or when the prompts were obtained or confirmed
- Users looking for a library or tool to integrate into a product
How to get it
- 1
Clone and build from source
Clone the repository
git clone https://github.com/LouisShark/chatgpt_system_prompt - 2
Run it
- Open the repository on GitHub or clone it locally
- Open TOC.md and use Ctrl + F to search for the GPT you want
- Read the prompt or knowledge file for that GPT
- Read SECURITY.md or GETTING_STARTED.md for guidance on the topic
- 3
Get the most out of it
- Use the idxtool mentioned in the README (scripts/README.md) to search the collection if you cloned the repo
- Read the Getting Started Guide to learn how system prompts and knowledge files are obtained
- Read the Security Guide to understand how to protect your own GPT instructions
- Check the Learning Resources page for tools and materials on prompt engineering
Downloads
Strengths
- Large, popular collection with over 10,000 stars on GitHub
- Released under the permissive MIT license
- Organized with a searchable table of contents and linked guides on getting prompts, security, and contributing
Trade-offs
- The README frames the material as reference and awareness content, and it does not explain how each prompt was verified
- The README is truncated here, so the full scope and maintenance details are not visible in this analysis
- It is a collection of text files rather than software, so there is nothing to install or run beyond reading
How it compares
| Project | Stars | Type | Level | Updated | Best for |
|---|---|---|---|---|---|
| chatgpt_system_prompt (this) | 10.8k | Learning resource | beginner | 24 days ago | People learning how to write system prompts for custom GPTs |
| promptflow | 11.3k | Dev tool | intermediate | 6 days ago | Teams with existing Prompt flow applications that need to keep running until migration |
| generative-ai-for-beginners | 123k | Learning resource | beginner | 5 days ago | Developers who know some Python or TypeScript and want a guided introduction to generative AI |
| botpress | 15k | Dev tool | intermediate | 6 days ago | Developers who want to write integrations and bots as TypeScript code using the Botpress CLI and SDK |
| Prompt-Engineering-Guide | 79.8k | Learning resource | beginner | 8 months ago | People who are new to prompting and want structured lessons with examples |
| awesome-gpt-image-2 | 35.4k | Learning resource | beginner | 23 days ago | People who want working GPT Image 2 prompts to copy and adapt |
Stats synced from GitHub. The assessment above was drafted with AI from the project's README on 2026-10-29 and may miss recent changes — check the README before relying on a command. MIT licence: free to use, modify and distribute, including commercially, as long as you keep the copyright notice.