By hoangsonww
Search ArXiv for the latest AI/ML research papers, get concise summaries of the top papers, and receive plain-English explanations of complex methodologies.
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Given a company/product, finds its top competitors, compares their latest feature releases, pricing changes, and customer sentiment.
Analyzes GitHub trending repos, PyPI/NPM download spikes, and tech Twitter to identify emerging developer trends before they hit mainstream news.
Comprehensive AI news tracking, deep research agents, and automated Notion/Teams/Slack publishing.
Analyzes tokenomics, whitepapers, and crypto Twitter sentiment to provide fundamental analysis of crypto projects.
Extracts transcripts from technical podcasts or YouTube videos and synthesizes core arguments, guest insights, and actionable takeaways.
npx claudepluginhub hoangsonww/ai-news-briefing --plugin paper-readerAutomated research paper discovery, PDF monitoring, and AI-powered summarization for academic and technical literature
Comprehensive AI news tracking, deep research agents, and automated Notion/Teams/Slack publishing.
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.
Summarize arxiv papers as plain-language stories or deep technical dives
Semi-automated research assistant for academic research and software development, with skills for literature review, experiments, analysis, writing, and project knowledge management
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.