https://github.com/andrewrgarcia/files-here-wzrd

Capture, share, and rebuild your project’s file structure with ease. Perfect for sharing and AI-driven project generation.
https://github.com/andrewrgarcia/files-here-wzrd

ai-integration automation bash-script code-analysis data-extraction developer-tools file-management open-source productivity programming-tools text-processing

Last synced: about 2 months ago
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Capture, share, and rebuild your project’s file structure with ease. Perfect for sharing and AI-driven project generation.

• Host: GitHub
• URL: https://github.com/andrewrgarcia/files-here-wzrd
• Owner: andrewrgarcia
• License: mit
• Created: 2024-08-05T01:10:20.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-11-04T18:21:39.000Z (2 months ago)
• Last Synced: 2024-11-04T19:18:19.864Z (2 months ago)
• Topics: ai-integration, automation, bash-script, code-analysis, data-extraction, developer-tools, file-management, open-source, productivity, programming-tools, text-processing
• Language: Python
• Homepage:
• Size: 2.73 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# files-here-wzrd

An intuitive toolset for capturing and recreating directory structures effortlessly! files-here-wzrd allows you to generate a complete snapshot of your project files in a single .txt file, ideal for sharing, backup, or AI-driven analysis. Easily rebuild entire directories from a text-based blueprint, and complement this process with powerful AI tools like GPT for project generation and insights.

## Overview

The `files-here-wzrd` toolkit includes two key algorithms:

- [**`ShowFilesHere`**](show): Captures and outputs all files with specified extensions in a directory into a single, organized `.txt` file.

- [**`MakeFilesHere`**](make): Reconstructs files and their directory structure from a `.txt` file created by `ShowFilesHere.sh`.

This toolkit is ideal for developers, researchers, and teams working with large codebases or datasets who need a quick way to navigate and document their projects or to reconstruct files for easier distribution or analysis with AI tools.

## License

This toolkit is open-source and available under the [MIT License](LICENSE).