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Dropnread

A web-based tool that helps prepare source code for Large Language Models (LLMs) by combining multiple files into a single text file. Perfect for when you need to share your codebase with AI models like GPT-4, Claude, or Gemini.

Install / Use

/learn @yani-/Dropnread
About this skill

Quality Score

0/100

Supported Platforms

Claude Code
Claude Desktop
Gemini CLI

README

Project Flattener

A web-based tool that helps prepare source code for Large Language Models (LLMs) by combining multiple files into a single text file. Perfect for when you need to share your codebase with AI models like GPT-4, Claude, or Gemini.

Features

  • 🗂️ Drag & drop folder support
  • 📏 Token limit awareness for various LLMs
  • 🧹 Comment stripping for common programming languages
  • ⚙️ Configurable file/folder exclusion patterns
  • 📊 Real-time token counting
  • 💾 Binary file handling options

Supported Models

  • GPT-4 (128K tokens)
  • Claude 2 (100K tokens)
  • Gemini Experimental 1206 (2M tokens)
  • Gemini 1.5 Pro (1M tokens)

Usage

  1. Open index.html in a modern browser (Chrome/Edge recommended)
  2. Select your target LLM model
  3. Configure options:
    • Strip comments to reduce token usage
    • Include/exclude binary files
    • Adjust file exclusion patterns
  4. Drag a folder or use the "Select Directory" button
  5. Copy the processed output to clipboard

Comment Stripping Support

Supports comment removal for:

  • JavaScript/TypeScript
  • Python
  • PHP
  • Java
  • C/C++
  • Ruby
  • Go
  • Rust
  • Shell scripts
  • And more...

Default Exclusions

Comes with sensible defaults for excluding:

  • Version control directories (.git, .svn)
  • Dependencies (node_modules, vendor)
  • Build outputs (dist, build)
  • IDE files (.idea, .vscode)
  • Compiled files (*.exe, *.pyc)
  • And many more...

Browser Support

  • Chrome/Chromium (recommended)
  • Edge
  • Other modern browsers with File System Access API support

Local Development

  1. Clone the repository
  2. Open index.html in your browser
  3. No build process or dependencies required

License

MIT License - See LICENSE file for details

Related Skills

View on GitHub
GitHub Stars42
CategoryDevelopment
Updated6mo ago
Forks2

Languages

JavaScript

Security Score

82/100

Audited on Sep 28, 2025

No findings