By alaliqing
Study research papers by processing PDFs from local paths, URLs, or arXiv IDs to auto-generate concise summaries, multilingual study materials with metadata and links, plus launch an interactive Nuxt.js web viewer on localhost:5815 for deep analysis and code demos.
npx claudepluginhub alaliqing/claude-paper --plugin claude-paperUse this skill when the user wants to read, study, analyze, or deeply understand a research paper (PDF).
Use this for a quick summary of a research paper's core ideas and key points. Use when you want to quickly understand a paper without deep study materials. Triggers on PDF paths, arXiv URLs, or paper URLs.
Start the Claude Paper web viewer to browse and study papers
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.
Share bugs, ideas, or general feedback.
LightRAG-based PDF document indexing and semantic search for research workflows
Semi-automated research assistant for academic research and software development, with skills for literature review, experiments, analysis, writing, and project knowledge management
Automated research paper discovery, PDF monitoring, and AI-powered summarization for academic and technical literature
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.
Oh My Paper research harness: memory system, Codex delegation, and pipeline commands for academic research projects.