🚀 Rich Prompt

🧠 Supercharge your LLM interactions with structured context from your codebase!

A Rust CLI tool that transforms your project files into perfectly formatted context blocks for Large Language Models. Ideal for code reviews, refactoring assistance, and technical discussions with AI.

✨ Features

• 📁 Smart File Selection - Automatically scan and select files with specific extensions
• 🔍 Interactive Mode - Choose files interactively or auto-include all matched files
• 🚫 Exclusion Patterns - Easily ignore directories like .git, node_modules, etc.
• 🏗️ Structured Output - Generate well-formatted context blocks optimized for LLMs
• 💬 Custom Instructions - Include your specific prompts within the context block
• 📤 Flexible Output - Print to console or save to file with a simple flag

📦 Installation

🔧 From Source

git clone https://github.com/username/rich-prompt.git
cd rich-prompt
cargo install --path .

📥 From Cargo

cargo install rich-prompt

🎮 Usage

🔰 Basic Usage

rich-prompt generate --path /path/to/project

⚙️ Command Line Options

🌟 Examples

Include all Rust files in a project:

rich-prompt generate --path ./my-project --ext .rs --exclude target --auto

Include selected JavaScript and TypeScript files:

rich-prompt generate --path ./frontend --ext .js,.ts --exclude node_modules --output output.txt

Include a custom prompt with your file context:

rich-prompt generate --path ./src --prompt "Optimize this code for performance and reduce memory usage"

📋 Output Format

The tool generates output in the following format:

<file_map>
# 📂 Directory structure representation
</file_map>

<file_contents>
File: path/to/file.ext
```ext
file content
```
</file_contents>

<user_instructions>
💬 Your custom prompt goes here
</user_instructions>

🎯 Use Cases

• 🔍 Code Reviews: Get AI feedback on your code quality and structure
• 📚 Documentation: Generate comprehensive docs with AI assistance
• 🛠️ Refactoring: Receive intelligent suggestions for code improvements
• 🧩 Problem Solving: Get AI help with complex coding challenges
• 🎓 Learning: Analyze and understand project structure with AI explanations

🔄 Workflow Integration

Perfect for integrating with:

• 💻 CI/CD pipelines
• 🤖 AI code review bots
• 📊 Documentation generators
• 🧪 Testing frameworks

🚦 Logging Levels

Control verbosity with the --verbose flag:

• Default: Only errors
• -v: Warnings and errors
• -vv: Info, warnings, and errors
• -vvv: All debug information

🛠️ Advanced Configuration

Create a .rich-prompt.toml in your home directory to set default options:

default_extensions = [".rs", ".toml"]
default_excludes = [".git", "target", "node_modules"]
log_level = "info"

🤝 Contributing

Contributions are welcome! Here's how you can help:

1. 🍴 Fork the repository
2. 🔄 Create a feature branch
3. 💻 Add your changes
4. 🧪 Add tests for your changes
5. 📤 Submit a pull request

Please make sure your code follows our coding standards and includes appropriate tests.

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

Made with ❤️ by Mohamed Abdelwahed