skills/plurigrid/asi/academic-research

academic-research

SKILL.md

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.

Weekly Installs
17
Repository
plurigrid/asi
GitHub Stars
8
First Seen
Jan 29, 2026
Installed on
opencode17
gemini-cli16
codex16
github-copilot15
claude-code14
cursor13