Skill 詳細
literature-search
Useful upstream paper-search capability, not literature-review synthesis itself.
使用前に確認
自動レビューは関連性のみを確認し、安全性や推奨を保証しません。使用前に出典の説明を読んでください。
SKILL.md
これはレビュー時に保存された抜粋です。完全で最新の内容は外部ソースを確認してください。
--- name: literature-search description: Search academic literature using Semantic Scholar, arXiv, and OpenAlex APIs. Returns structured JSONL with title, authors, year, venue, abstract, citations, and BibTeX. Use when the user needs to find papers, check related work, or build a bibliography. argument-hint: [search-query] --- # Literature Search Search multiple academic databases to find relevant papers. ## Input - `$ARGUMENTS` — The search query (natural language) ## Scripts ### Semantic Scholar (primary — best for ML/AI, has BibTeX) ```bash python ~/.claude/skills/deep-research/scripts/search_semantic_scholar.py \ --query "QUERY" --max-results 20 --year-range 2022-2026 \ --api-key "$(grep S2_API_Key /Users/lingzhi/Code/keys.md 2>/dev/null | cut -d: -f2 | tr -d ' ')" \ -o results_s2.jsonl ``` Key flags: `--peer-reviewed-only`, `--top-conferences`, `--min-citations N`, `--venue NeurIPS ICML` ### arXiv (latest preprints) ```bash python ~/.claude/skills/deep-research/scripts/search_arxiv.py \ --query "QUERY" --max-results 10 -o results_arxiv.jsonl ``` ### OpenAlex (broadest coverage, free, no API key) ```bash python ~/.claude/skills/literature-search/scripts/search_openalex.py \ --query "QUERY" --max-results 20 --year-range 2022-2026 \ --min-citations 5 -o results_openalex.jsonl ``` ### Merge & Deduplicate ```bash python ~/.claude/skills/deep-research/scripts/paper_db.py merge \ --inputs results_s2.jsonl results_arxiv.jsonl results_openalex.jsonl \ --output merged.jsonl ``` ### CrossRef (DOI-based lookup, broadest type coverage) ```bash python ~/.claude/skills/literature-search/scripts/search_crossref.py \ --query "QUERY" --rows 10 --output results_crossref.jsonl ``` Key flags: `--bibtex` (output .bib format), `--rows N` ### Download arXiv Source (get .tex files) ```bash python ~/.claude/skills/literature-search/scripts/download_arxiv_source.py \ --title "Paper Title" --output-dir arxiv_papers/ ``` Key flags: `--arxiv-id 1706.03762`, `--metadata`, `--max-results N` ### Generate BibTeX from results ```bash python ~/.claude/skills/deep-research/scripts/bibtex_manager.py \ --jsonl merged.jsonl --output references.bib ``` ## Workflow 1. Expand the user's query into 2-4 complementary search queries 2. Run Semantic Scholar search (primary) with expanded queries 3. Run arXiv for very recent preprints (< 3 months) 4. Optionally run OpenAlex for broader coverage 5. Merge and deduplicate results 6. Rank by: citations (0.3) + recency (0.3) + venue quality (0.2) + relevance (0.2) 7. Present structured results table ## Venue Quality Tiers **Tier 1:** NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, CVPR, ICCV, ECCV, KDD, AAAI, IJCAI, SIGIR, WWW **Tier 2:** AISTATS, UAI, COLT, COLING, EACL, WACV, JMLR, TACL **Tier 3:** Workshops, arXiv preprints — mark with `(preprint)` ## Output Format Present results as a table + detailed entries with BibTeX keys. Always note preprint status. ## Related Skills - Downstream: [citation-management](../citation-management/), [literature-review](../literature-review/), [related-work-writing](../related-work-writing/) - See also: [deep-research](../deep-research/), [novelty-assessment](../novelty-assessment/)GitHub で全文を読む (外部ページ)