daily-paper-generator
FeaturedUse when the user asks to generate daily paper digests on a general topic. This skill supports both arXiv and bioRxiv (or either one), then produces structured Chinese/English summaries for selected papers.
Install
Quality Score: 96/100
Skill Content
Details
- Author
- Galaxy-Dawn
- Repository
- Galaxy-Dawn/claude-scholar
- Created
- 6 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Integrates with
Bundled in these plugins
Similar Skills
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paper-analyzer
Read an academic paper (PDF, arXiv link, pasted text, or DOI/title) and produce a complete paper-study package — full paragraph-by-paragraph Chinese translation, plus structured Chinese & English summaries, plus extracted figures / tables / algorithms / listings saved into per-paper subfolders following the paper's own numbering (Figure 1, Table 1, Algorithm 1, etc.). Detects the paper's academic field, confirms a domain glossary with the user, and preserves field-appropriate English terminology in both the Chinese translation and summary. Use this skill whenever the user shares a paper, an arXiv URL, a DOI, a paper title, or pastes a chunk of academic text and asks to "read / summarize / translate / analyze / 解读 / 翻译 / 总结 / 精读" it — even if the user does not explicitly say "use paper-analyzer". Also trigger when the user wants to compare or do a literature review starting from a single paper.
nature-reader
Build full-paper Chinese-English side-by-side, figure/table-aware, source-grounded Markdown readers for journal or conference papers from PDF, DOI, arXiv, publisher HTML, or pasted text. Use whenever the user asks to translate or read a paper, make 中英文对照/原文对照/全文翻译解读, extract figures or tables into the right positions, preserve figure/table placement near relevant prose, or keep exact source anchors for every block. This skill must not degrade into a summary-only output unless the user explicitly asks for a summary.
paper-search
Search papers across arXiv, DBLP, OpenAlex, OpenReview, Semantic Scholar, and Crossref for a given query and year range, using ./scripts/search_papers.py. Use when the user asks to find papers, related work, prior art, or recent publications on a specific topic, especially when they mention a date range or specific venues like NeurIPS, ICLR, or ICML.