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academic-research

Search academic papers across arXiv, PubMed, Semantic Scholar, bioRxiv, medRxiv, Google Scholar, and more. Get BibTeX citations, download PDFs, analyze citation networks. Use for literature reviews, finding papers, and academic research.

中文简介正在准备中。当前显示原文说明。

查看安装方法

包含的文件(2)

  • SKILL.md2.7 KB
  • CONCOMITANT_SKILLS.md1.4 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Academic Research Papers

Search and retrieve academic papers via multiple MCP servers.

Available Servers

paper-search

Multi-source paper search covering:

  • arXiv, PubMed, bioRxiv, medRxiv
  • Google Scholar, IACR, Semantic Scholar
  • BibTeX export support

semantic-scholar

Full Semantic Scholar API access:

  • Citation network analysis
  • Author search
  • Paper recommendations
  • BibTeX, APA, MLA, Chicago formats

arxiv

arXiv-specific search:

  • Advanced search filters
  • Citation analysis
  • BibTeX, JSON, CSV, Markdown export

When to Use

  • Literature reviews
  • Finding related papers
  • Getting BibTeX citations
  • Checking who cited a paper
  • Finding papers by author
  • Searching for specific topics

Example Usage

Search for Papers

paper_search(query="transformer attention mechanism", sources=["arxiv", "semantic_scholar"])

Get Citations

semantic_scholar_citations(paper_id="...")

arXiv Specific

arxiv_search(query="quantum computing", max_results=10)

Other Available Servers (Not Installed)

From your /Users/alice/worlds/l/mcp_servers.json:

  • research-hub-mcp - 11 sources + Unpaywall PDF access
  • zotero-mcp - Connect to Zotero library
  • openalex-mcp - 250M+ works database
  • crossref-mcp - DOI metadata

Add more with:

"server-name": {
  "command": "npx",
  "args": ["-y", "server-package-name"]
}

Scientific Skill Interleaving

This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:

Graph Theory

  • networkx [○] via bicomodule
    • Universal graph hub

Bibliography References

  • algorithms: 19 citations in bib.duckdb

SDF Interleaving

This skill connects to Software Design for Flexibility (Hanson & Sussman, 2021):

Primary Chapter: 6. Layering

Concepts: layered data, metadata, provenance, units

GF(3) Balanced Triad

academic-research (−) + SDF.Ch6 (+) + [balancer] (○) = 0

Skill Trit: -1 (MINUS - verification)

Secondary Chapters

  • Ch10: Adventure Game Example

Connection Pattern

Layering adds metadata. This skill tracks provenance or annotations.

Cat# Integration

This skill maps to Cat# = Comod(P) as a bicomodule in the equipment structure:

Trit: 0 (ERGODIC)
Home: Prof
Poly Op: ⊗
Kan Role: Adj
Color: #26D826

GF(3) Naturality

The skill participates in triads satisfying:

(-1) + (0) + (+1) ≡ 0 (mod 3)

This ensures compositional coherence in the Cat# equipment structure.

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