Daily Paper Generator
This automates the full workflow of pulling recent papers from arXiv and bioRxiv, filtering them down through a three-stage funnel (top 10, top 3, top 1 per topic), and generating bilingual Chinese and English summaries with scoring rationale. It's built for researchers who want structured daily or weekly digests without manually trawling preprint servers. The workflow is opinionated: it forces you to use concrete topic queries, keeps an explicit narrowing trace with quality scores from a rubric, and outputs markdown files with metadata tables and reviews. Honest take: the rigid funnel structure is both its strength and limitation. It works well for broad surveying but might feel mechanical if you already know exactly which papers you want.
- skills.sh installs
- 421
- GitHub stars
- 6K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add galaxy-dawn/claude-scholar --skill daily-paper-generator --agent claude-codeInstalls into .claude/skills of the current project.
Files
Daily Paper Generator
Overview
Discover, screen, and summarize recent papers for any research topic.
Supported sources:
- arXiv
- bioRxiv
- both (
--source both)
Core workflow:
- Define topic query and time window
- Search papers from arXiv / bioRxiv
- Select Top 10 candidates per field
- Score and narrow to Top 3 per field
- Choose Top 1 per field
- Generate bilingual summaries
- Save outputs to
daily paper/
When to Use
Use this skill when:
- The user asks for a daily/weekly paper digest on any topic
- The user wants recent papers from arXiv and/or bioRxiv
- The user needs structured bilingual notes for reading and tracking
Output Format
Each summary should contain:
- Paper title
- Authors and venue/source
- Link(s) and date
- Chinese review (~300 words)
- English review (concise academic prose)
- Metadata table
- Appendix (optional resources)
Quick Reference
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- Repository
- github.com/galaxy-dawn/claude-scholar
- Categories
- Data Science & ML, Automation & Workflows
- First seen
- Jun 3, 2026
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