Individual skill
literature-reviewer-skill
根据用户提供的论文主题,进行系统性中英文文献回顾(Literature Survey)。 采用8阶段工作流,支持CNKI、Web of Science、ScienceDirect等主流数据库, 无需API配置,通过浏览器自动化获取文献信息。 输出包含GB/T 7714-2015引文、标题、摘要的Markdown文档。 当用户提到"文献回顾"、"文献综述"、"帮我找文献"、"中英文文献搜索"、"写综述"等关键词时触发。 NOTE: The 'examples/' folder contains sample outputs and is not included in skill installation.
SKILL.md
Source commit b4e4c7e8834993fa517927fe6c57978192e64c21
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- Scanner rules are current
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- Repository scan complete
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- Skill scan complete
- Yes
- Observed behavior
- Not checked yet
- Last checked
- Nov 11, 2026
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Repository context
- Repository stars (not skill ratings)
- 234
- Repository last updated
- Sep 7, 2026
- License
- MIT
Observed agent integration: codex
- academic-papers Repository topic
- academic-research Repository topic
- ai-agent Repository topic
- bibliography Repository topic
- citation Repository topic
- literature-review Repository topic
- python Repository topic
- research-tools Repository topic
- kimi-skill Repository topic
- research Derived category
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.gitignoreasset · 395 bytesAGENTS.mddoc · 13,147 bytesDockerfileruns · 1,430 bytesLICENSEasset · 1,067 bytesREADME.mddoc · 20,449 bytesREADME_EN.mddoc · 13,602 bytesSECURITY.mddoc · 5,206 bytesSKILL.mdcore · 22,628 bytesagents/explore-agent.mddoc · 4,336 bytesagents/orchestrator.mddoc · 17,706 bytesagents/synthesize-agent.mddoc · 12,730 bytesagents/verify-agent.mddoc · 2,402 bytesdocker-compose.ymlasset · 3,385 bytesexamples/README.mddoc · 11,523 bytesexamples/example-3-ai-education/README.mddoc · 3,456 bytesexamples/example-3-ai-education/prompts/phase1-query-analysis.mddoc · 2,151 bytesexamples/example-3-ai-education/prompts/phase6-paper-analysis.mddoc · 4,320 bytesexamples/example-3-ai-education/prompts/phase8-1-outline.mddoc · 4,752 bytesexamples/example-3-ai-education/prompts/phase8-2-writing.mddoc · 10,105 bytesexamples/example-3-ai-education/prompts/phase8-3-review.mddoc · 6,629 bytesexamples/example-3-ai-education/prompts/phase8-4-final.mddoc · 5,726 bytesexamples/example-3-ai-education/sample-output/draft.mddoc · 10,743 bytesexamples/example-3-ai-education/sample-output/literature_review.mddoc · 13,112 bytesexamples/example-3-ai-education/sample-output/metadata.jsonasset · 1,873 bytesexamples/example-3-ai-education/sample-output/outline.mddoc · 3,653 bytesexamples/example-3-ai-education/sample-output/references.mddoc · 15,294 bytesexamples/example-3-ai-education/sample-output/review_report.mddoc · 6,496 bytesexamples/example-3-ai-education/sample-output/session_log.mddoc · 2,796 bytesexamples/example-4-carbon-policy/README.mddoc · 3,378 bytesexamples/example-4-carbon-policy/prompts/phase1-query-analysis.mddoc · 1,801 bytesexamples/example-4-carbon-policy/prompts/phase6-paper-analysis.mddoc · 1,499 bytesexamples/example-4-carbon-policy/prompts/phase8-1-outline.mddoc · 2,299 bytesexamples/example-4-carbon-policy/prompts/phase8-2-writing.mddoc · 2,080 bytesexamples/example-4-carbon-policy/prompts/phase8-3-review.mddoc · 1,754 bytesexamples/example-4-carbon-policy/prompts/phase8-4-final.mddoc · 1,685 bytesexamples/example-4-carbon-policy/sample-output/literature_review.mddoc · 11,400 bytesexamples/example-4-carbon-policy/sample-output/metadata.jsonasset · 1,628 bytesexamples/example-4-carbon-policy/sample-output/outline.mddoc · 2,217 bytesexamples/example-4-carbon-policy/sample-output/review_report.mddoc · 1,448 bytesexamples/example-5-uniqlo-social-media/README.mddoc · 4,797 bytesexamples/example-5-uniqlo-social-media/prompts/phase1-query-analysis.mddoc · 2,151 bytesexamples/example-5-uniqlo-social-media/prompts/phase6-paper-analysis.mddoc · 4,320 bytesexamples/example-5-uniqlo-social-media/prompts/phase8-1-outline.mddoc · 4,752 bytesexamples/example-5-uniqlo-social-media/prompts/phase8-2-writing.mddoc · 10,105 bytesexamples/example-5-uniqlo-social-media/prompts/phase8-3-review.mddoc · 6,629 bytesexamples/example-5-uniqlo-social-media/prompts/phase8-4-final.mddoc · 5,726 bytesexamples/example-5-uniqlo-social-media/sample-output/literature_review.mddoc · 17,688 bytesexamples/example-5-uniqlo-social-media/sample-output/references_raw.mddoc · 9,261 bytesinstall.yamlasset · 2,633 bytesmcp.jsonasset · 5,760 bytesreferences/cnki-guide.mddoc · 10,284 bytesreferences/database-access.mddoc · 3,147 bytesreferences/gb-t-7714-2015.mddoc · 11,102 bytesscripts/__init__.pyruns · 519 bytesscripts/citation_formatter.pyruns · 5,454 bytesscripts/deduplicate_papers.pyruns · 4,940 bytesscripts/models.pyruns · 2,694 bytes
Read excerpt
# 文献回顾(Literature Survey)
根据用户提供的论文主题,进行系统性的中英文文献检索、整理和综述撰写。
采用 **8阶段工作流**,无需API配置,通过浏览器自动化获取文献。
---
## 8阶段工作流
```
Phase 0: Session Log → 创建会话目录
Phase 1: Query Analysis → 生成中英文检索策略
Phase 2: Parallel Search → 浏览器自动化检索
Phase 3: Deduplication → 标题相似度去重