学習教育
#api
literature-search
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.
DeepseekModel
キュレーション済みスキル
品質 優秀 · 78
v1.0.0
取得
https://deepseekmodel.com/api/download.php?id=lingzhi227-agent-research-skills-skills-literature-search-skill-md&format=skill
ダウンロード .skill
標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
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) 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) 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) 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 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) 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) 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 python ~/.claude/skills/deep-research/scripts/bibtex_manager.py \ --jsonl merged.jsonl --output references.bib Workflow Expand the user's query into 2-4 complementary search queries Run Semantic Scholar search (primary) with expanded queries Run arXiv for very recent preprints (< 3 months) Optionally run OpenAlex for broader coverage Merge and deduplicate results Rank by: citations (0.3) + recency (0.3) + venue quality (0.2) + relevance (0.2) 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 , literature-review , related-work-writing See also: deep-research , novelty-assessment
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ダウンロードした .skill に含まれるフィールド。
| フィールド | 説明 |
|---|---|
| format | フォーマット識別子（skill/v1） |
| skill_id | スキル固有 ID |
| name | スキル名 |
| version | バージョン |
| description | 説明 |
| category | カテゴリ（配列） |
| trigger_words | トリガーワード |
| tags | タグ |
| source | ソース |
| source_url | ソース URL（本ページ） |
| exported_at | エクスポート日時（ダウンロード毎） |
| system_prompt | システムプロンプト本文 |
| model_config | モデル設定：provider / model / temperature / max_tokens / top_p |
| examples | サンプル |
| install_guide | 各プラットフォームの導入説明（Coze / Dify / Claude / カスタム） |
