alter123-zz/citation-manager
skills/citation-manager/citation-manager/SKILL.md
学术引用管理器。管理参考文献、自动格式化引用和生成参考文献列表。Keywords: 引用, 参考文献, citation, bibliography.
$ install --global
skillsauthnpx skillsauth add alter123-zz/RaccoonClaw citation-managerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- citation-manager
- description:
- 学术引用管理器。管理参考文献、自动格式化引用和生成参考文献列表。Keywords: 引用, 参考文献, citation, bibliography.
学术引用管理 — 管理参考文献自动格式化引用和文献列表
概述
管理参考文献自动格式化引用和文献列表。适用于撰写学术论文时管理参考文献、自动生成APA/MLA/Chicago等格式引用、检查引用完整性。
触发关键词: 引用, 参考文献, citation, bibliography
前置依赖
pip install requests pybtex citeproc-py
核心能力
能力1：通过DOI/标题查询论文元数据
通过DOI/标题查询论文元数据(CrossRef/Semantic Scholar)
能力2：自动格式化APA/MLA/Chicago/IEEE等10+种引用格式
自动格式化APA/MLA/Chicago/IEEE等10+种引用格式
能力3：检查引用完整性、去重、批量导出BibTeX/RIS文件
检查引用完整性、去重、批量导出BibTeX/RIS文件
命令列表
| 命令 | 说明 | 用法 |
|------|------|------|
| lookup | 通过DOI查询论文 | python3 scripts/citation_manager_tool.py lookup [参数] |
| format | 格式化引用列表 | python3 scripts/citation_manager_tool.py format [参数] |
| export | 导出参考文献文件 | python3 scripts/citation_manager_tool.py export [参数] |
使用流程
场景 1
帮我整理这5篇论文引用，生成APA格式
执行：
python3 scripts/citation_manager_tool.py format --style apa --dois '10.1234/xxx,10.5678/yyy'
场景 2
导出BibTeX格式参考文献
执行：
python3 scripts/citation_manager_tool.py export --format bibtex
场景 3
检查论文引用列表的完整性
执行：
python3 scripts/citation_manager_tool.py lookup --check references.bib
输出格式
# 📊 学术引用管理报告
**生成时间**: YYYY-MM-DD HH:MM
## 核心发现
1. [关键发现1]
2. [关键发现2]
3. [关键发现3]
## 数据概览
| 指标 | 数值 | 趋势 | 评级 |
|------|------|------|------|
| 指标A | XXX | ↑ | ⭐⭐⭐⭐ |
| 指标B | YYY | → | ⭐⭐⭐ |
## 详细分析
[基于实际数据的多维度分析内容]
## 行动建议
| 优先级 | 建议 | 预期效果 |
|--------|------|----------|
| 🔴 高 | [具体建议] | [量化预期] |
| 🟡 中 | [具体建议] | [量化预期] |
| 🟢 低 | [具体建议] | [量化预期] |
参考资料
API文档
- CrossRef API，DOI查询学术论文元数据
- Semantic Scholar API，论文引用关系和语义搜索
GitHub
- GitHub: CSL引用样式库—10000+种引用格式(APA/MLA/Chicago等)
HackerNews
- HackerNews: 开源引用管理工具对比(Zotero vs Mendeley)
- Reddit r/GradSchool: AI引用管理工具经验分享
微信公众号
- 微信公众号「学术志」: Zotero+AI自动管理参考文献实战
注意事项
- 所有分析基于脚本获取的实际数据，不编造数据
- 数据缺失字段标注"数据不可用"而非猜测
- 建议结合人工判断使用，AI分析仅供参考
- 首次使用请先安装Python依赖：
pip install requests pybtex citeproc-py
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