By dipta007
Generate plain-language stories or structured technical summaries of arXiv papers via /skim:story or /skim:deep commands using paper ID or URL, enabling quick grasp of research methodologies, results, and contributions without reading full documents.
npx claudepluginhub dipta007/skim --plugin skimGenerate a structured technical summary of an arxiv paper with methodology, results, and key contributions. Use when the user wants a detailed technical breakdown. Usage: /skim:deep <arxiv-id-or-url>
Generate a plain-language, analogy-driven narrative summary of an arxiv paper. Use when the user wants a simple, jargon-free explanation of a paper. Usage: /skim:story <arxiv-id-or-url>
Karpathy-style LLM wiki for research papers. Ingest a URL / arXiv ID / DOI / PDF, write a structured summary into a local Obsidian vault, and maintain a finding-level knowledge graph via wikilinks + Dataview.
Automated research paper discovery, PDF monitoring, and AI-powered summarization for academic and technical literature
A research infrastructure for AI agents. Search, read, and analyze papers from your local knowledge base while coding. Includes arXiv discovery, layered reading, ingestion, topic modeling, citation graphs, insights analytics, Office document inspection, scientific tool docs, and academic writing workflows. Requires Python 3.10+ and pip install.
A plugin for studying research papers with automated material generation and code demos
Collection of arXiv paper management skills including CLI tool integration for fetching/searching papers and converting papers to Markdown documentation
Share bugs, ideas, or general feedback.
Annotated research paper collection management — retrieve, read, extract, cross-reference scientific papers
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