By hoangsonww
Extracts transcripts from podcasts or YouTube videos and synthesizes core arguments, guest insights, and actionable takeaways into scannable show notes for efficient learning.
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Connects to ArXiv and Semantic Scholar to find the latest AI/ML research papers, summarize their abstracts, and explain the methodology.
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.
npx claudepluginhub hoangsonww/ai-news-briefing --plugin podcast-summarizerMedia research assistant for bulk video and podcast summarization across YouTube, Apple Podcasts, Spotify, and other platforms
Comprehensive AI news tracking, deep research agents, and automated Notion/Teams/Slack publishing.
Generate Korean podcast episodes from any source (URLs, tweets, articles, PDFs) with OpenAI TTS and auto-upload to YouTube
Summarize videos, audio, and podcasts via BibiGPT CLI directly in the terminal
Process meeting transcripts into structured notes with action items
Generate NotebookLM artifacts (slides, audio, video, mind maps, quizzes, flashcards, infographics, reports, data tables) from your notebooks. Use when the user wants to create any NotebookLM Studio output from their uploaded sources.