学习教育
#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
官方收录技能
质量 优秀 · 78
v1.0.0
获取
https://deepseekmodel.com/api/download.php?id=lingzhi227-agent-research-skills-skills-literature-search-skill-md&format=skill
下载 .skill
标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
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
Agent 识别该技能的关键词,点击任意一个即可复制。
该技能未提供触发词。
下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |