快速判断
通过Semantic Scholar、OpenAlex、Crossref和PubMed API搜索学术资源,协助撰写文献综述。当用户需要查找特定主题论文、获取DOI详情或撰写带引用的综述章节时使用。
适合任务
- 按 SkillHub 收录说明复用成熟任务流程。
- 通过下载包离线阅读完整 Skill 内容。
- 结合热度指标优先评估常用 Skill。
输入与输出
输入:任务目标、上下文材料、文件路径、约束条件或需要处理的内容。
输出:按 Skill 说明生成的文档、代码、检查结果、计划、建议或操作步骤。
示例任务
- 使用 Literature Review 帮我处理当前任务,并说明需要准备哪些输入。
- 根据 Literature Review 的说明,先列出使用前的安全检查项。
安装方式
- 下载本站提供的 Skill ZIP 并解压。
- 把解压后的 Skill 目录放入当前 AI 工具支持的
skills目录。 - 如需在线查看原始内容,可打开 GitHub 的
SKILL.md。
风险边界
SkillHub 提供了源站安全报告入口,但本站不替代人工审查。使用前仍需检查权限、外部依赖和敏感数据边界。
SKILL.md 文档介绍
Literature Review
Help write academic literature reviews using a multi-engine search integration (S2, OA, CR, PM).
Capabilities
- Multi-Source Search: Find relevant academic papers using Semantic Scholar (S2), OpenAlex (OA), Crossref (CR), and PubMed (PM).
- Full Abstracts: All sources now return complete abstracts (PubMed uses
efetchfor full XML records). - DOI Extraction: DOIs are extracted from all sources for cross-referencing and deduplication.
- Automatic Deduplication: When searching multiple sources (
--source allor--source both), results are automatically deduplicated by DOI. - Polite Access: Automatic email identification for OpenAlex/Crossref "Polite Pool" (via
USER_EMAILenv var). - Abstract Reconstruction: Reconstructs abstracts from OpenAlex inverted index format.
- Synthesis: Group papers by theme and draft review sections based on metadata.
Environment Variables
| Variable | Purpose | Default |
|----------|---------|---------|
| USER_EMAIL | Email for polite API access | anonymous@example.org |
| CLAWDBOT_EMAIL | Fallback if USER_EMAIL not set | — |
| SEMANTIC_SCHOLAR_API_KEY | Optional S2 API key for higher rate limits | — |
| OPENALEX_API_KEY | Optional OpenAlex API key | — |
Workflows
1. Broad Search (All Bases)
Get a comprehensive overview from all major academic databases. Results are automatically deduplicated by DOI.
python3 scripts/lit_search.py search "impact of glycyrrhiza on bifidobacterium" --limit 5 --source all2. Targeted Search
- OpenAlex (
oa): Fast and comprehensive, good abstracts. - Semantic Scholar (
s2): High-quality citation data and TL;DRs. - Crossref (
cr): Precise DOI-based metadata (no abstracts). - PubMed (
pm): Gold standard for biomedical research, full abstracts and PMIDs.
python3 scripts/lit_search.py search "prebiotic effects of liquorice" --source pm3. Comparing Sources
Search both S2 and OA simultaneously to ensure nothing is missed. Deduplicated by default.
python3 scripts/lit_search.py search "Bifidobacterium infantis growth" --source both4. Getting Full Details (S2)
Retrieve detailed metadata including TL;DR summaries.
python3 scripts/lit_search.py details "DOI:10.1016/j.foodchem.2023.136000"5. Writing the Review
1. Extract: Pull key findings from the abstracts found.
2. Organize: Group findings into a logical structure (e.g., chronological or thematic).
3. Draft: Use the "Think step-by-step" approach to synthesize multiple sources into a coherent narrative.
Output Format
Each result includes:
id: Source-specific identifier (PMID for PubMed, OpenAlex ID, S2 paper ID, DOI for Crossref)doi: DOI when available (used for deduplication)title: Paper titleyear: Publication yearauthors: List of author namesabstract: Full abstract text (when available)venue: Journal or conference namecitationCount: Citation count (S2, OA)source: Which database the result came from
Tips for Success
- Citations: Always cross-reference the DOI or PMID for accuracy in bibliography.
- Filtering: Focus on papers with higher
citationCountor recent years for a more modern review. - PubMed for Medicine: Use
--source pmfor the most reliable biomedical literature. - Deduplication: Multi-source searches automatically remove duplicates; use single sources if you need raw counts.