Repository for Bots

A collection of prompts and resources for various bots (bolt, cline, cursor). The repository is structured to clearly separate prompts, documentation, and resources for each bot.

Repository Structure

- `bots/`: The root directory containing all bot-specific folders.
  - `bolt/`, `cline/`, `cursor/`: Subdirectories for each bot.
  - `prompts/`: Contains prompt files for each bot.
  - `docs/`: Contains documentation files for each bot.
  - `resources/`: Contains any additional resources for each bot.

  ## 2. Guides Section

• A folder to store detailed tutorials and practical guides.
• Includes step-by-step walkthroughs for setting up and customizing each bot.
• "Best Practices" guide for crafting effective prompts.

FAQs and Tips Section

• A document compiling frequently asked questions and common solutions.
• "Troubleshooting Wizard" script or markdown file to guide users through debugging common issues interactively.

Linking Original Repositories

• A section or a file (e.g., LINKS.md) to include:
  • Original Repositories: Direct links to the original repositories for each bot.
  • Relevant Forks: Links to useful or modified forks by other users.
  • Community and Resources: Links to subreddits, forums, and support resources like GPT-SS or ticketing systems.

Additional Resources

• Documentation: A directory for advanced documentation, including technical specifications or details about bot algorithms.
• Changelog: A CHANGELOG.md file to track updates and modifications to the repository.
• Examples: A folder containing practical use cases or application scenarios for the bots.
• /playground
  • A folder where users can test prompts in a sandbox environment, with sample inputs and outputs.
• YouTube Videos: A folder or markdown file linking to curated YouTube videos demonstrating bot functionality, tutorials, or use cases.

Contribution Guidelines

• A CONTRIBUTING.md file explaining how others can contribute to the repository.
• Includes information about:
  • Pull requests
  • Issue reporting
  • Coding standards and guidelines
• A template for new prompt contributions.

8. Interactive Features

• Prompt Showcase: A markdown file or a web-based interface showcasing the most popular or effective prompts for each bot.
• Feedback System: A way for users to rate or comment on prompts (e.g., a simple feedback form or GitHub issue templates).
• Visualization: A diagram of the folder structure in the README to help new users navigate easily.

Folder Structure Diagram

├── README.md
├── bots/
│   ├── cline/
│   │   ├── system-prompts/
│   │   └── user-prompts/
│   ├── bolt/
│   │   ├── system-prompts/
│   │   └── user-prompts/
│   └── cursor/
│       ├── system-prompts/
│       └── user-prompts/
├── shared-prompts/
├── guides/
├── faqs-and-tips/
├── links.md
├── documentation/
├── changelog.md
├── examples/
├── playground/
├── youtube-videos/
├── contributing.md
└── license

## 🎯 Purpose

This repository aims to:

- Provide a comprehensive library of prompts for coding bots.
- Serve as a knowledge base for users seeking to improve their interactions with AI.
- Facilitate contributions and collaborations within the community.

## 📜 Contribution Guidelines

We welcome contributions to enhance the quality and scope of this collection. If you'd like to contribute:

- Review the [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines.
- Submit pull requests or open issues for suggestions and improvements.


## 📂 Getting Started

1. Clone this repository:

 ```bash
        git clone https://github.com/your-username/ai-coding-bot-prompts.git

2. Navigate into the repository directory

        cd ai-coding-bot-prompts

Explore the Prompts folder to find examples for your use case.

🔗 Resources

• Official AI Bot Repositories: Links to the official repositories for each bot.
• Community Forums: Platforms where users can discuss and share ideas.
• Additional Tools: Useful tools and resources for working with AI bots.

📄 License

This project is licensed under the MIT License. Feel free to use and modify the content in this repository.

🌟 Acknowledgements

A big thank you to the AI and developer communities for their continuous support and contributions.