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Skill 详情

Literature Review

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。

来源平台:SkillHub
来源标识:SkillHub/literature-review
源文件:原始说明
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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。

最后校验2026-05-27
来源平台SkillHub
安全提示
下载副本ZIP 可用

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

  1. 下载本站提供的 Skill ZIP 并解压。
  2. 把解压后的 Skill 目录放入当前 AI 工具支持的 skills 目录。
  3. 如需在线查看原始内容,可打开 GitHub 的 SKILL.md

在线原始地址:skillhub-literature-review/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 efetch for full XML records).
  • DOI Extraction: DOIs are extracted from all sources for cross-referencing and deduplication.
  • Automatic Deduplication: When searching multiple sources (--source all or --source both), results are automatically deduplicated by DOI.
  • Polite Access: Automatic email identification for OpenAlex/Crossref "Polite Pool" (via USER_EMAIL env 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 all

2. 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 pm

3. 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 both

4. 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 title
  • year: Publication year
  • authors: List of author names
  • abstract: Full abstract text (when available)
  • venue: Journal or conference name
  • citationCount: 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 citationCount or recent years for a more modern review.
  • PubMed for Medicine: Use --source pm for the most reliable biomedical literature.
  • Deduplication: Multi-source searches automatically remove duplicates; use single sources if you need raw counts.
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