
Serper Scholar
Queries Google Scholar for academic papers and returns structured metadata including citations, authors, publication venues, and years. Useful when you need to research technical literature, track down seminal papers in a field, or find recent work on specific topics. The skill handles up to 20 results per query and works best with English keywords and specific technical terms rather than broad searches. Shares the Serper API quota with web search at 2,500 calls per month on the free tier. One practical tip from the docs: prioritize high citation counts for foundational work and recent years for cutting edge research, and consider searching by author name once you identify key researchers in your area.
- skills.sh installs
- 321
- GitHub stars
- 4
- last updated
- Aug 21, 2026
Install
$ npx -y skills add fanzhidongyzby/openclaw-serper --skill serper-scholar --agent claude-codeInstalls into .claude/skills of the current project.
Files
Google Scholar Search Tool
基于 Google Scholar API 的学术文献搜索工具,提供学术论文、研究报告、技术文献的专业搜索能力。
When to Activate
当用户提到以下内容时自动激活:
学术搜索关键词
- "论文"、"学术"、"文献"、"研究"
- "搜索论文"、"查找文献"、"学术研究"
- "谷歌学术"、"Scholar"
特定场景
- 需要查找学术论文或研究报告
- 需要了解某领域的学术进展
- 需要查找特定作者的作品
- 需要获取引用信息和发表刊物
- 需要研究技术领域的理论依据
示例问题
- "帮我搜索关于机器学习的论文"
- "查找一下深度学习在 NLP 中的应用"
- "研究一下 Transformer 架构的学术论文"
- "找一些关于大模型训练方法的文献"
- "搜索一下 Attention mechanism 的相关论文"
Tools
serper_scholar
用途: 执行学术文献搜索,返回论文详细信息
参数:
query(必选,string):搜索关键词num(可选,number):返回结果数量,默认 10,最大 20gl(可选,string):国家代码,默认 cn- 推荐值: cn(中国)、us(美国)、uk(英国)
hl(可选,string):语言代码,默认 zh-CN- 推荐值: zh-CN(简体中文)、en(英文)
返回字段:
title:论文标题url:论文链接snippet:摘要type:文献类型(PDF、HTML 等)year:发表年份authors:作者列表publication:发表刊物/会议citationCount:引用次数
Best Practices
1. 搜索技巧
使用专业术语和技术关键词:
示例:
- ✅ "Attention mechanism neural machine translation"
- ✅ "Transformer large language models"
- ✅ "Reinforcement learning robotics"
- ❌ "机器学习"(太宽泛,结果太多)
2. 添加领域限定
明确研究领域和方法:
Sponsors
Details
- Repository
- github.com/fanzhidongyzby/openclaw-serper
- Category
- Backend & APIs
- First seen
- Jun 3, 2026