by yani- · Claude Skill · ★ 42
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...
| Stars | 42 |
| Forks | 2 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 55.8218902045345/100 |
| Open Issues | 1 |
| Last Updated | 2025-01-11 |
| Created | 2024-12-15 |
| Platforms | browser, claude-code, gemini, node |
| Est. Tokens | ~1k |
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dropnread is 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 li. It is categorized as a Claude Skill with 42 GitHub stars.
dropnread is primarily written in JavaScript.
You can find installation instructions and usage details in the dropnread GitHub repository at github.com/yani-/dropnread. The project has 42 stars and 2 forks, indicating an active community.
dropnread is released under the MIT license, making it free to use and modify according to the license terms.