papers

Solid

Search academic literature via arXiv, Semantic Scholar, and open-access discovery chains. Fetches and parses PDFs for key findings. Use when the user needs academic papers, citations, or formal research on a topic.

AI & Automation 294 stars 26 forks Updated today MIT

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Quality Score: 93/100

Stars 20%
82
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
88
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Academic Papers Search ## When To Use - Finding academic papers, citations, or formal research - Building literature reviews or citation chains ## When NOT To Use - Community opinions (use `/tome:discourse`) - Code implementations (use `/tome:code-search`) Search arXiv, Semantic Scholar, and open-access sources. ## Sources (Priority Order) 1. arXiv API (free, unlimited metadata) 2. Semantic Scholar API (100 req/5min, citation graphs) 3. Unpaywall (legal free version discovery) 4. CORE.ac.uk (open-access aggregator) 5. PubMed Central (biomedical) 6. Author preprint pages (WebSearch fallback) ## PDF Processing After acquiring a paper URL or local file path, convert the PDF to markdown for better extraction quality. ### Conversion (prefer markitdown) Apply the `leyline:document-conversion` protocol: 1. **Try markitdown first**: call the MCP `convert_to_markdown` tool with the PDF URL or `file://` path. This produces structured markdown preserving tables, equations, figures, and section hierarchy. 2. **Fall back to Read tool** if markitdown is unavailable: - Read with `pages: "1-20"` for the first chunk - Continue with `pages: "21-40"` for longer papers - Continue in 20-page increments as needed - Note: tables and figures will not extract as cleanly ### Extraction Targets From the converted markdown, extract: - Abstract and key findings - Methodology and experimental setup - Results tables and figures - Citation information (authors, year, v...

Details

Author
athola
Repository
athola/claude-night-market
Created
6 months ago
Last Updated
today
Language
Python
License
MIT

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