Command-Line Automation Toolkit
A collection of tools designed to automate repetitive tasks and enhance command-line interactions using Python and rich CLI interfaces.
Core Tools
- Command-Line Automation Suite:
Automates tasks like file management and data transformation using Python with rich CLI interfaces powered by Click and prompt-toolkit. - Interactive Data Validation Tool:
Validates and processes data files using pydantic for type checking, offering rich text feedback and progress tracking. - Template-Based Report Generator:
Generates customizable reports from templates using jinja2 with interactive parameter specification.
Productivity & Collaboration Tools
- Clipboard Manager with Text Formatting:
Supports rich text formatting and unicode operations using pyperclip and colorama. - Real-Time Command-Line Chat Interface:
Enables real-time messaging with prompt-toolkit interactions and colored messages using colorama.
File System & Code Analysis Tools
- Interactive File System Navigator:
Explores and manipulates file systems with an intuitive interface and enhanced visualization using tabulate. - Code Snippet Tokenization Utility:
Tokenizes and analyzes code snippets using tiktoken, providing insights through a user-friendly CLI.
Learning & Dependency Management Tools
- Progressive Learning CLI Quizzes:
Quizzes users on Python topics using Click for interactions and tqdm for progress visualization. - Poetry-Based Dependency Manager with UI:
Enhances the poetry dependency manager with a terminal UI for managing Python project dependencies. - Pyperclip Enhanced Copy-Paste Tool:
Extends clipboard functionalities with auto-formatting and macro operations from the command line.
Key Technologies:
- Python
- Click
- Prompt-toolkit
- Pydantic
- Jinja2
- Pyperclip
- Colorama
Overview of .cursorrules prompt
The .cursorrules file outlines the responsibilities and attributes of an elite software developer skilled in Python, command-line tools, and file system operations. It emphasizes a pragmatic approach to coding, modular design, principled coding practices like KISS and DRY, and the importance of documentation and testing. The developer is expected to have a functional programming preference and work with a technological stack that includes Python 3.6+, alongside various dependencies such as rich
, click
, jinja2
, prompt-toolkit
, and others for building robust command-line applications and ensuring code quality through testing and validation.