Add use case: HF Papers Research Discovery

Discover and triage trending ML papers from Hugging Face Papers,
then deep-read via arxiv-reader — a two-skill research pipeline.

usecases/hf-papers-research-discovery.md

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+# 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-reader)
+
+## Skills you Need
+
+- [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`)
+- [arxiv-reader](https://github.com/openclaw/skills/tree/main/skills/willamhou/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:
+```bash
+clawhub install hf-papers
+clawhub install arxiv-source
+```
+
+2. Prompt OpenClaw with your research workflow:
+```text
+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-reader
+   - 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?"