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.
Best use case
academic-research is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using academic-research should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/academic-research/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How academic-research Compares
| Feature / Agent | academic-research | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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:
```json
"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
## 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)
```
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