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paper-workflowlisted

Daily paper discovery workflow: search arXiv + Semantic Scholar, score, deduplicate, and generate a recommendation note. Also handles individual paper searches by topic.
zfy465914233/scholar-agent · ★ 8 · AI & Automation · score 79
Install: claude install-skill zfy465914233/scholar-agent
# Paper Discovery Workflow Find, score, and recommend academic papers matching the user's research interests. ## Step 1: Choose the search mode | Mode | When to use | |------|-------------| | Daily recommendations | User wants today's paper digest | | Topic search | User asks about a specific topic | | Conference search | User asks about papers from a specific venue/year | ## Step 2: Run the search ### Daily recommendations ``` daily_recommend(language="zh", dual_track=true) ``` This runs the full pipeline: arXiv recent papers + conference impact papers + arXiv innovation papers. Returns a daily note and a list of top papers for analysis. ### Topic search ``` search_papers(query="chain of thought reasoning", top_n=10) ``` ### Conference search ``` search_conf_papers(venues="NeurIPS,ICML", year=2026, top_n=10) ``` ## Step 3: Present results to the user Show the paper list with: - Title, authors, arxiv_id - Recommendation score - Matched domain and keywords ## Step 4: Deep analysis (if requested) For papers the user wants to analyze in depth, follow the paper-analysis skill. ## Notes - Language setting comes from config (`zh` or `en`). Default is Chinese. - `skip_existing=true` avoids re-analyzing papers already in paper-notes/. - The dual-track mode gives 2 conference papers (impact-ranked) + 2 arXiv papers (innovation-scored).