Project Description: GPTs Prompt Collection

What is the project about?

This project is a curated collection of leaked prompts used for various custom GPTs (Generative Pre-trained Transformers). It serves as a repository of how different GPTs are instructed to behave and perform specific tasks.

What problem does it solve?

It provides transparency and insight into the inner workings of custom GPTs. By revealing the prompts, it allows users to:

• Understand how GPTs are configured.
• Learn prompt engineering techniques.
• Potentially replicate or adapt the functionality of existing GPTs.
• Analyze the capabilities and limitations of different GPT configurations.

What are the features of the project?

• Organized Collection: Prompts are categorized by the name and creator of the GPT.
• Direct Links: Each GPT has a link to its corresponding prompt file (Markdown format).
• Diverse Examples: Includes prompts for a wide range of applications, from coding and writing to image generation and role-playing.
• Contributor Recognition: Acknowledges the sources of the leaked prompts.
• Open Source GPTs Section: Links to GitHub repositories that openly share the prompts, actions, and knowledge files of GPTs.
• GPT Prompt Analysis Section: Links to resources that analyze and summarize GPT prompts.

What are the technologies used in the project?

• Markdown: For documentation and prompt presentation.
• GitHub: For repository hosting and version control.
• GPTs (Generative Pre-trained Transformers): The underlying technology being documented.
• X (formerly Twitter): Source of some of the prompts.

What are the benefits of the project?

• Educational Resource: A valuable learning tool for anyone interested in prompt engineering and GPTs.
• Transparency: Demystifies the "black box" nature of custom GPTs.
• Community Contribution: Allows users to contribute and expand the collection.
• Research and Analysis: Facilitates the study of GPT behavior and prompt effectiveness.
• Inspiration: Provides ideas and starting points for creating new GPTs.

What are the use cases of the project?

• Prompt Engineering Research: Studying effective prompt design patterns.
• GPT Development: Learning from existing GPTs to build new ones.
• Educational Purposes: Teaching about AI and natural language processing.
• Competitive Analysis: Understanding how different GPTs are positioned and configured.
• Security Research: Potentially identifying vulnerabilities or biases in GPT configurations.