Generate Word reports from Hugging Face Daily Papers. Downloads top papers, extracts abstracts and introductions from PDFs, extracts figures, and compiles everything into a formatted Word document with cover images. Use when user asks for 'HF daily papers', 'Hugging Face papers report', 'download papers and make a summary', or any request to fetch, analyze, and document papers from huggingface.co/papers.
Scanned 2/12/2026
Install via CLI
openskills install majiayu000/claude-skill-registry---
name: hf-papers-reporter
description: Generate Word reports from Hugging Face Daily Papers. Downloads top papers, extracts abstracts and introductions from PDFs, extracts figures, and compiles everything into a formatted Word document with cover images. Use when user asks for 'HF daily papers', 'Hugging Face papers report', 'download papers and make a summary', or any request to fetch, analyze, and document papers from huggingface.co/papers.
---
# Hugging Face Daily Papers Reporter
Generate professional Word reports from Hugging Face Daily Papers with full text extraction and image capture.
## What This Skill Does
1. Scrapes huggingface.co/papers for the top papers
2. Downloads PDFs from arXiv
3. Extracts Abstract and Introduction sections
4. Extracts figures/images from PDFs
5. Generates a formatted Word document (.docx) with:
- Paper titles and arXiv links
- Cover images from HF
- Full abstracts
- Introduction sections
- Extracted figures from papers
## Quick Start
Run the main script to generate today's report:
```bash
cd /path/to/hf-papers-reporter
python3 scripts/process_papers.py
```
Output will be saved to `output/HF_Daily_Papers_Report.docx`
## Dependencies
Install required packages:
```bash
pip3 install PyMuPDF python-docx Pillow beautifulsoup4 requests
```
## How It Works
### Step 1: Fetch Paper List
- Scrapes huggingface.co/papers
- Extracts arXiv IDs, titles, and cover image URLs
### Step 2: Download & Process (per paper)
```
Download PDF from arxiv.org/pdf/{id}.pdf
↓
Extract text (first 5 pages)
- Abstract (regex match)
- Introduction (regex match)
↓
Extract images (first 5 pages, max 3 per page)
- Compress to 600x400
↓
Download cover image from HF CDN
- Compress to 800x600
```
### Step 3: Generate Word Document
- Title page with report name and date
- Each paper as a section with:
- Cover image (centered)
- Abstract section
- Introduction section
- Extracted figures (up to 4)
## Output Structure
```
hf_papers/
├── pdfs/ # Downloaded PDFs
├── images/ # Cover images + extracted figures
└── output/
├── HF_Daily_Papers_Report.docx
└── papers_data.json
```
## Known Issues & Solutions
| Issue | Cause | Fix |
|-------|-------|-----|
| XML encoding error | PDF text contains control characters | Script auto-cleans 0x00-0x1F chars |
| No abstract found | PDF structure varies | Multiple regex patterns tried |
| Large PDFs | Some papers are 20MB+ | Only first 5 pages processed |
## Customization
To modify the number of papers (default: 10), edit the `PAPERS` list in `scripts/process_papers.py`.
To change image sizes, modify the `thumbnail()` calls in the script.

No comments yet. Be the first to comment!