菜单
A tool for rigorous academic research using Semantic Scholar and ArXiv. Focuses on finding highly-cited papers, retrieving abstracts, and following citation trails to understand the provenance of ideas.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/majiayu000/claude-skill-registry --skill academic-research命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| name | academic-research |
| description | A tool for rigorous academic research using Semantic Scholar and ArXiv. Focuses on finding highly-cited papers, retrieving abstracts, and following citation trails to understand the provenance of ideas. |
This skill allows you to function as an academic researcher, finding and analyzing scholarly papers with a focus on impact and provenance.
Run the python script search_papers.py to perform searches.
query (required): The search term.--limit (optional): Max results (default 5).--year (optional): Year range (e.g., "2023-2025").--sort (optional): Sort by "relevance", "citationCount", or "velocity" (new!).--open-access (optional): Only return open access papers.--format (optional): Output "json" (default) or "bibtex".# Find "hot" papers on LLMs (high velocity)
python3 search_papers.py "Large Language Models" --sort velocity
# Get BibTeX for a specific search
python3 search_papers.py "Attention is All You Need" --format bibtex
The script outputs a JSON object (or JSON-lines) containing:
titleauthorsyearcitationCountcitationsPerYear: Velocity metric.tldr: Semantic Scholar's generated summary (if available).urlpdf_url (if available)tldr field is often shorter and easier to digest for quick summaries.