awesome-openclaw-usecases/usecases/hf-papers-research-discovery.md

HF Papers Research Discovery

Keeping up with ML research means refreshing Hugging Face Papers daily, scanning dozens of titles, clicking into each one for the abstract, and manually cross-referencing GitHub repos. You want a conversational way to discover, triage, and deep-read trending papers without leaving your workspace.

This workflow combines two skills to create a full research discovery pipeline:

• Browse today's trending papers on Hugging Face — sorted by upvotes or date
• Search papers by keyword to find relevant work on any topic
• Get full paper metadata: abstract, authors, GitHub repos, community upvotes, AI-generated summaries
• Read community discussion and comments on any paper
• Deep-read the full LaTeX source of any paper via its arXiv ID (using arxiv-source)

Skills you Need

• hf-papers skill (4 tools: hf_daily_papers, hf_search_papers, hf_paper_detail, hf_paper_comments)
• arxiv-source skill (3 tools: arxiv_fetch, arxiv_sections, arxiv_abstract) — for full paper text

No Docker or authentication required — both skills use public APIs with local caching.

How to Set it Up

1. Install both skills:

clawhub install hf-papers
clawhub install arxiv-source

2. Prompt OpenClaw with your research workflow:

I want to stay on top of ML research. Here's my daily workflow:

1. Every morning, show me the top 10 trending papers on Hugging Face (sorted by upvotes)
   - For each paper, show: title, upvotes, GitHub repo (if any), and 1-line AI summary

2. When I say "search [topic]":
   - Search HF Papers and show the most relevant results
   - Highlight papers with linked GitHub repos or high upvote counts

3. When I pick a paper (by ID):
   - Show the full abstract, authors, and linked resources
   - Show community comments if any
   - Ask if I want a deep read

4. For deep reads:
   - Fetch the full paper via arxiv-source
   - Summarize key contributions, methodology, and results
   - Note any linked code repos I should check out

Keep a running list of papers I've reviewed today with one-line takeaways.

3. Try it: "What's trending on Hugging Face Papers today?"