daily-paper-generator

Use 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.

By galaxy-dawn · 370 installs

npx skills add galaxy-dawn/claude-scholar --skill daily-paper-generator

Source repository · Upstream listing

Daily Paper Generator Overview Discover, screen, and summarize recent papers for any research topic. Supported sources: arXiv bioRxiv both ( source both ) Core workflow: 1. Define topic query and time window 2. Search papers from arXiv / bioRxiv 3. Select Top 10 candidates per field 4. Score and narrow to Top 3 per field 5. Choose Top 1 per field 6. Generate bilingual summaries 7. 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: 1. Paper title 2. Authors and venue/source 3. Link(s) and date 4. Chinese review (~300 words) 5. English review (concise academic prose) 6. Metadata table 7. Appendix (optional resources) Quick Reference Task Method Search papers Use scripts/arxiv search.py with source arxiv biorxiv both Topic selection Use general topic queries from references/keywords.md Evaluate quality Use references/quality criteria.md Write Chinese review Use references/writing style.md Write English review Follow scientific writing best practices Workflow Step 1: Define query Choose a concrete topic query. Examples: test time adaptation for medical imaging multimodal foundation model for healthcare protein language model interpretability Step 2: Search arXiv and/or bioRxiv Use helper script: Notes: source arxiv : arXiv only source biorxiv : bioRxiv only source both : merge both sources and sort by date Step 3: Top 10 candidate selection (per field) For each candidate paper: 1. Check topic relevance from title + abstract 2. Remove obviously off topic papers 3. Keep Top 10 candidates for this field Minimum rule: Do not jump directly from raw search results to final paper. Keep an explicit Top 10 list first. Step 4: Top 3 quality shortlist (per field) For the Top 10 pool: 1. Score each paper with references/quality criteria.md 2. Rank by weighted score 3. Keep Top 3 Step 5: Final Top 1 selection (per field) For the Top 3 shortlist: 1. Compare novelty + method completeness + experimental credibility 2. Check practical impact for the field 3. Select Top 1 as the final pick Required output trace: Top 10 candidate list Top 3 scored shortlist (with weighted scores) Final Top 1 and one paragraph selection rationale Step 6: Generate bilingual summaries For each selected paper, generate: 中文评语:背景、挑战、贡献、方法、结果、局限 English Review: concise, factual, non formulaic Step 7: Save output Recommended directory and naming: Additional Resources references/keywords.md : general topic query templates references/quality criteria.md : scoring rubric references/writing style.md : review writing style example/daily paper example.md : output example scripts/arxiv search.py : arXiv + bioRxiv search helper Important Notes 1. Use explicit topic queries, avoid single word vague queries. 2. Keep the time window explicit ( months N ). 3. Distinguish source in metadata ( arxiv vs biorxiv ). 4. Use the fixed narrowing rule: Top 10 Top 3 Top 1 (per field). 5. If a paper lacks robust evaluation, mark confidence and limitations clearly. 6. Do not fabricate unavailable fields (institution/GitHub/code links).