Awesome/awesome-openclaw-usecases
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fix: unify skill name to arxiv-source (ClaWHub canonical name)

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willamhou
2026-03-16 15:09:46 +08:00
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usecases/hf-papers-research-discovery.md
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@@ -8,12 +8,12 @@ This workflow combines two skills to create a full research discovery pipeline:
- 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)
- Deep-read the full LaTeX source of any paper via its arXiv ID (using arxiv-source)
## 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
- [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
No Docker or authentication required — both skills use public APIs with local caching.
@@ -42,7 +42,7 @@ I want to stay on top of ML research. Here's my daily workflow:
- Ask if I want a deep read
4. For deep reads:
- Fetch the full paper via arxiv-reader
- Fetch the full paper via arxiv-source
- Summarize key contributions, methodology, and results
- Note any linked code repos I should check out