Hf Papers Reporter

Documents

hf-papers-reporter

Hf Papers Reporter is an Agent Skill for documents published in the majiayu000/claude-skill-registry repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

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.

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QUICK START

How to use this skill

Bring this guide into your coding agent with a prompt tailored to the tool you use.

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Copy and paste the prompt below.
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Prompt to paste

Inspect the Agent Skill at https://github.com/majiayu000/claude-skill-registry/blob/HEAD/skills/data/hf-papers-reporter/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/hf-papers-reporter, but wait for my approval before writing files or running scripts.

Copying this prompt does not install or run the skill. Review third-party files before use.

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

Scrapes huggingface.co/papers for the top papers
Downloads PDFs from arXiv
Extracts Abstract and Introduction sections
Extracts figures/images from PDFs
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:

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:

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.