bio-immunoinformatics-tcr-epitope-binding
Predict TCR-epitope specificity using ERGO-II and deep learning models for T-cell receptor antigen recognition. Match TCRs to their cognate…
Maintainer K-Dense Inc. · Last updated April 1, 2026
MarkItDown is a Python tool developed by Microsoft for converting various file formats to Markdown. It's particularly useful for converting documents into LLM-friendly text format, as Markdown is token-efficient and well-understood by modern language models. **Key Benefits**: - Convert documents to clean, structured Markdown - Token-efficient format for LLM processing - Supports 15+ file formats - Optional AI-enhanc….
Original source
https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/markitdown
Skill Snapshot
Source Doc
When creating documents with this skill, always consider adding scientific diagrams and schematics to enhance visual communication.
If your document does not already contain schematics or diagrams:
For new documents: Scientific schematics should be generated by default to visually represent key concepts, workflows, architectures, or relationships described in the text.
How to generate schematics:
The AI will automatically:
When to add schematics:
For detailed guidance on creating schematics, refer to the scientific-schematics skill documentation.
| Format | Description | Notes |
|---|---|---|
| Portable Document Format | Full text extraction | |
| DOCX | Microsoft Word | Tables, formatting preserved |
| PPTX | PowerPoint | Slides with notes |
| XLSX | Excel spreadsheets | Tables and data |
| Images | JPEG, PNG, GIF, WebP | EXIF metadata + OCR |
| Audio | WAV, MP3 | Metadata + transcription |
| HTML | Web pages | Clean conversion |
| CSV | Comma-separated values | Table format |
| JSON | JSON data | Structured representation |
| XML | XML documents | Structured format |
| ZIP | Archive files | Iterates contents |
| EPUB | E-books | Full text extraction |
| YouTube | Video URLs | Fetch transcriptions |
git clone https://github.com/microsoft/markitdown.git cd markitdown pip install -e 'packages/markitdown[all]'
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