Deep reading & summarization workflow for DSH: books/papers/videos/web → structured Markdown notes. Plugin parsers, MapReduce deep-read, JSON Schema output.
-
Updated
Nov 1, 2026 - JavaScript
Deep reading & summarization workflow for DSH: books/papers/videos/web → structured Markdown notes. Plugin parsers, MapReduce deep-read, JSON Schema output.
任意链接(网页/播客/视频/X)→ 中文结构化解读 → NotebookLM 式对话。自包含 skill,任何能跑 shell 的 AI agent 都能用。
看不完的视频,让 AI 替你看懂:X/YouTube/B站视频 → 中文卡片解读(read-anything 的姊妹)
Chrome extension for AI-powered Facebook feed summarization via Cloudflare Workers with Zero Trust security—automatically generates TL;DRs in Traditional Chinese.
AI-powered YouTube video summarizer that generates concise summaries and enables interactive Q&A about video content. Supports both cloud (OpenRouter) and local (Ollama) deployment with adjustable summary detail levels.
Reusable AI Agent skills for Runtime-aware web interaction — adapt websites, build site profiles, search & summarize content. Works with Copilot CLI, OpenClaw/Antigravity, Claude Code, Cursor.
AI Instagram Reel Summarizer | Intelligent Video Content Analysis & Summarization Tool. SocialArchive automatically analyzes and summarizes Instagram Reels, transforming long-form video content into concise summaries that help users quickly understand key points without watching the entire video.
A Telegram bot for summarizing messages and content in group chats or channels. This project provides automated summaries to help users quickly grasp the main points of conversations. It supports various summary modes and can be customized for different use cases, making it ideal for busy groups, educational discussions, or archiving information.
Converts tweets from influential public figures into structured, news-style articles by adding context, background, and neutral explanations to bridge short-form social media and long-form informative content.
A new package that takes unstructured text input from users and returns structured, categorized feedback or suggestions. It uses pattern matching to ensure responses follow a consistent format, such a
A Streamlit-based Python app that scrapes and locally summarizes articles from the Google AI Blog using a local Ollama LLM.
AI -powered framework for real-time transcript extraction and summarization of YouTube videos, utilizing Google Gemini, a generative AI model, to generate coherent and concise summaries. The framework employs the YouTube Transcript API for transcript extraction and uses a structured prompt design to generate bullet-point summaries, enhancing access
Organize bookmarks and browsing history with automated tagging and categorization.
Reusable AI Agent skills for Runtime-aware web interaction — adapt websites, build site profiles, search & summarize content. Works with Copilot CLI, OpenClaw/Antigravity, Claude Code, Cursor.
Shorten educational videos 🎓 into short, rich videos ⚡ using AI 🤖
Web Summarizer is a tool that generates summaries of websites from their URLs and automatically writes the summaries to Google Docs. It then saves the documents directly to Google Drive for easy access and storage.
Web scraper to extract Economist stories and summarize content by region
A sophisticated, client-side RSS feed aggregator and AI-powered summarization tool that translates news articles into Arabic and generates comprehensive summaries using advanced language models. Built with privacy and security as core principles, this application runs entirely in your browser without requiring any backend infrastructure.
The teaches you to integrate text, images, and videos into applications using Gemini's state-of-the-art multimodal models. Learn advanced prompting techniques, cross-modal reasoning, and how to extend Gemini's capabilities with real-time data and API integration.
LLM powered summarization tool for YouTube videos and other websites.
To associate your repository with the content-summarization topic, visit your repo's landing page and select "manage topics."