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53 lines
2.3 KiB
Markdown
53 lines
2.3 KiB
Markdown
# HF Papers Research Discovery
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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.
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This workflow combines two skills to create a full research discovery pipeline:
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- Browse today's trending papers on Hugging Face — sorted by upvotes or date
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- Search papers by keyword to find relevant work on any topic
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- Get full paper metadata: abstract, authors, GitHub repos, community upvotes, AI-generated summaries
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- Read community discussion and comments on any paper
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- Deep-read the full LaTeX source of any paper via its arXiv ID (using arxiv-source)
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## Skills you Need
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- [hf-papers](https://github.com/openclaw/skills/tree/main/skills/willamhou/hf-papers) skill (4 tools: `hf_daily_papers`, `hf_search_papers`, `hf_paper_detail`, `hf_paper_comments`)
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- [arxiv-source](https://github.com/openclaw/skills/tree/main/skills/willamhou/arxiv-source) skill (3 tools: `arxiv_fetch`, `arxiv_sections`, `arxiv_abstract`) — for full paper text
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No Docker or authentication required — both skills use public APIs with local caching.
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## How to Set it Up
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1. Install both skills:
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```bash
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clawhub install hf-papers
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clawhub install arxiv-source
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```
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2. Prompt OpenClaw with your research workflow:
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```text
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I want to stay on top of ML research. Here's my daily workflow:
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1. Every morning, show me the top 10 trending papers on Hugging Face (sorted by upvotes)
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- For each paper, show: title, upvotes, GitHub repo (if any), and 1-line AI summary
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2. When I say "search [topic]":
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- Search HF Papers and show the most relevant results
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- Highlight papers with linked GitHub repos or high upvote counts
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3. When I pick a paper (by ID):
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- Show the full abstract, authors, and linked resources
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- Show community comments if any
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- Ask if I want a deep read
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4. For deep reads:
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- Fetch the full paper via arxiv-source
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- Summarize key contributions, methodology, and results
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- Note any linked code repos I should check out
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Keep a running list of papers I've reviewed today with one-line takeaways.
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```
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3. Try it: "What's trending on Hugging Face Papers today?"
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