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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

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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
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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)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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