Github Top Repositories
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Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.
Показати більше📈 Аналітичний огляд Telegram-каналу Github Top Repositories
Канал Github Top Repositories (@githubre) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 15 212 підписників, посідаючи 13 433 місце в категорії Освіта та 26 115 місце у регіоні Індія.
📊 Показники аудиторії та динаміка
З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 15 212 підписників.
За останніми даними від 04 листопада, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 407, а за останні 24 години на 27, загальне охоплення залишається високим.
- Статус верифікації: Не верифікований
- Рівень залученості (ER): Середній показник залученості аудиторії становить 0.93%. Протягом перших 24 годин після публікації контент зазвичай збирає 0.62% реакцій від загальної кількості підписників.
- Охоплення публікацій: В середньому кожен допис отримує 142 переглядів. Протягом першої доби публікація в середньому набирає 95 переглядів.
- Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 1.
- Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як repository, fork, programming, statistic, description.
📝 Опис та контентна політика
Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“Top GitHub repositories in one place 🚀
Explore the best projects in programming, AI, data science, and more.”
Завдяки високій частоті оновлень (останні дані отримано 05 листопада, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Освіта.
15 212
Підписники
+2724 години
+807 днів
+40730 днів
Архів дописів
15 215
🌟 ruvnet/RuView caught my eye on GitHub Trending today.
🔗 https://github.com/ruvnet/RuView
📝 π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
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RuView is a revolutionary WiFi sensing platform that transforms ordinary WiFi into a spatial intelligence system. It detects people, measures breathing and heart rate, tracks movement, and monitors rooms — all through walls, in the dark, with no cameras or wearables. Just physics.
Key Features:
- Presence and occupancy detection
- Vital signs measurement (breathing rate and heart rate)
- Activity recognition (walking, sitting, gestures, falls)
- Environment mapping (RF fingerprinting)
- Sleep quality monitoring
Technical Highlights:
- Runs on low-cost ESP32 sensors with Cognitum Seed for persistent memory and AI integration
- Uses Channel State Information (CSI) and spiking neural networks for real-time learning
- Compatible with major smart-home ecosystems (Home Assistant, Apple Home, Google Home, Amazon Alexa)
-
pip install ruview for Python integration
Audience:
- Developers interested in spatial intelligence and WiFi sensing
- Smart home enthusiasts
- Researchers in fields like computer vision, machine learning, and IoT
Usage:
- Drop into any Home Assistant install with one --mqtt flag
- Pair with Apple Home, Google Home, or Alexa as a Matter Bridge
- Use with ESP32 hardware for live sensing or simulate with Docker
One-liner takeaway: RuView turns WiFi into a superpower, sensing your space without cameras, making it a game-changer for smart homes, healthcare, and beyond.
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🧠 Channel: https://t.me/GithubRe
15 215
🚀 Meet addyosmani/agent-skills: a gem from today's GitHub trending list.
🔗 https://github.com/addyosmani/agent-skills
📝 Production-grade engineering skills for AI coding agents.
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The Agent Skills repository by addyosmani on GitHub provides production-grade engineering skills for AI coding agents, encoding workflows, quality gates, and best practices used by senior engineers. It includes
8 slash commands that map to the development lifecycle, such as /spec, /plan, /build, and /test. These commands activate the right skills automatically, ensuring consistent development practices. The repository also features a quick start guide, allowing users to install skills using the skills CLI or integrate them with various tools like Claude Code, Cursor, and GitHub Copilot. With 24 skills in total, this repository offers a comprehensive set of development skills for AI agents, making it an essential resource for developers and teams. One-liner takeaway: Level up your AI coding agents with production-grade engineering skills.
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🧠 Channel: https://t.me/GithubRe15 215
🔥 MadsLorentzen/ai-job-search is trending — and it deserves your attention.
🔗 https://github.com/MadsLorentzen/ai-job-search
📝 AI-powered job application framework built on Claude Code. Fork it, fill in your profile, and let Claude evaluate jobs, tailor CVs, write cover letters, and prepare you for interviews.
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Ai Job Search is an innovative, AI-powered job application framework built on Claude Code. This open-source project helps you streamline your job search by evaluating job postings, tailoring your CV, writing cover letters, and preparing you for interviews.
To get started, simply
fork the repository, fill in your profile, and let Claude do the rest. The framework includes a structured workflow for self-profiling, fit evaluation, and application drafting, making it a valuable tool for job seekers.
The project features a language- and country-agnostic core workflow, with job portal search skills built for the Danish market. However, the pattern is designed to be easily adapted for other local job boards.
From a technical perspective, the framework leverages Claude Code, Python 3.10+, and Bun for Danish job search CLI tools. It also utilizes LaTeX distribution with lualatex and xelatex for CV and cover letter compilation.
Ai Job Search is perfect for anyone looking to optimize their job search process. With its robust features and adaptable design, it's an essential tool for job seekers and career guidance professionals alike.
In short, Ai Job Search is your personal job search assistant, making the job application process smarter, faster, and more efficient - automate your job search and land your dream job.
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🧠 Channel: https://t.me/GithubRe
15 215
🚀 Meet hesreallyhim/awesome-claude-code: a gem from today's GitHub trending list.
🔗 https://github.com/hesreallyhim/awesome-claude-code
📝 A hand-picked collection of the finest of resources for the most awesome of agents, Claude Code, the undisputed champion of coding companions, from the unstoppable team at Anthropic PBC. A delectable showcase of top tier skills, ambidextrous agents, scintillating status lines, top notch developer tooling, and also we have plugins
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The hesreallyhim/awesome-claude-code repository is a curated collection of top-notch resources for Claude Code, a powerful coding companion. This repository aims to provide a comprehensive list of tools, guides, and best practices for developers to get the most out of Claude Code.
Key features include a hand-picked collection of resources, plugins, and technical guides to help developers improve their coding skills. The repository is suitable for beginners and veterans alike, with an emphasis on code quality, security, and originality.
To get started, users can explore the
Start Here section, which provides a list of essential resources, including guides, tutorials, and cheat sheets. The repository also features a From Anthropic section, which includes official resources and guides from the Anthropic team.
Some technical highlights of the repository include Claude Code Hooks: Complete Guide, Claude Code Guide, and Claude Code Security Review. These resources provide in-depth information on how to use Claude Code effectively, including how to write custom hooks, configure settings, and ensure security.
The repository is designed for developers, engineers, and researchers who want to leverage the power of Claude Code to improve their coding skills. Whether you're a beginner or an experienced developer, this repository has something to offer.
In short, the hesreallyhim/awesome-claude-code repository is a treasure trove of resources for anyone looking to master Claude Code and take their coding skills to the next level. Explore, learn, and code with confidence!
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🧠 Channel: https://t.me/GithubRe15 215
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15 215
🌟 kyutai-labs/pocket-tts caught my eye on GitHub Trending today.
🔗 https://github.com/kyutai-labs/pocket-tts
📝 A TTS that fits in your CPU (and pocket)
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Pocket TTS is a lightweight, CPU-friendly text-to-speech application that makes generating audio a breeze. With its small model size and efficient architecture, it can run on
2 CPU cores and achieve low latency of around 200ms. The application supports multiple languages, including English, French, German, Portuguese, Italian, and Spanish, and can handle infinitely long text inputs. It also features voice cloning and audio streaming capabilities.
To get started, you can try out the demo on the Kyutai website or install the application using pip install pocket-tts. The application comes with a CLI and a Python API, making it easy to integrate into your projects. You can also use the serve command to run a local server and generate audio via HTTP requests.
The application is designed for developers and researchers who want to add text-to-speech capabilities to their projects without the hassle of using GPUs or web APIs. With its efficient architecture and small model size, Pocket TTS is an ideal solution for a wide range of applications, from voice assistants to language learning tools.
Pocket TTS is a game-changer for text-to-speech: fast, efficient, and easy to use.
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🧠 Channel: https://t.me/GithubRe
15 215
🔥 bradautomates/claude-video is trending — and it deserves your attention.
🔗 https://github.com/bradautomates/claude-video
📝 Give Claude the ability to watch any video. /watch downloads, extracts frames, transcribes, hands it all to Claude.
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Claude Video lets you analyze videos with Claude, an AI assistant. Paste a URL or local path, ask a question, and Claude will fetch captions, extract frames, and provide a timestamped transcript. The skill uses
yt-dlp and ffmpeg under the hood.
Key features include:
- Zero-config installation
- Captions and transcript extraction
- Frame extraction and deduplication
- Support for various video sources and formats
Technical highlights:
- yt-dlp for video downloading and caption extraction
- ffmpeg for frame extraction and processing
- Whisper API for audio transcription
Audience: Developers, researchers, and anyone who wants to analyze videos with Claude.
To get started, npx skills add bradautomates/claude-video -g or follow the installation instructions in the README.
With Claude Video, you can watch, analyze, and understand videos like never before — it's like having a superpower for video analysis.
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🧠 Channel: https://t.me/GithubRe15 215
🎯 iOfficeAI/OfficeCLI landed on trending. Worth a proper look.
🔗 https://github.com/iOfficeAI/OfficeCLI
📝 OfficeCLI is the first and best Office suite purpose-built for AI agents to read, edit, and automate Word, Excel, and PowerPoint files. Free, open-source, single binary, no Office installation required.
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OfficeCLI is an open-source Office suite designed for AI agents, allowing them to control Word, Excel, and PowerPoint with a single line of code. It features a built-in HTML rendering engine, reproducing documents with high fidelity. Key highlights include:
-
officecli command for creating, reading, and editing Office documents
- Support for various document elements, such as text, images, tables, and charts
- Live preview for instant feedback
Technical features:
- install command for easy setup
- create, add, set, and remove commands for document manipulation
- view command for rendering documents as HTML or outline
Audience: AI developers, Office power users, and anyone looking for a seamless Office experience.
One-liner takeaway: OfficeCLI empowers AI agents to create stunning Office documents in seconds, streamlining content creation and automation.
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🧠 Channel: https://t.me/GithubRe
15 215
🔍 Deep-diving into dotnet/skills — fresh off the trending list.
🔗 https://github.com/dotnet/skills
📝 Repository for skills to assist AI coding agents with .NET and C#
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The dotnet/skills GitHub repository is a collection of curated core skills and custom agents for coding agents, focusing on .NET development. It includes various plugins such as
dotnet, dotnet-advanced, and dotnet-data, which provide skills for .NET language server integration, data access, and performance investigations.
To use these skills, you can install them via the Copilot CLI, VS Code, Cursor, or Codex CLI. For example, you can add the marketplace using /plugin marketplace add dotnet/skills15 215
🌟 steipete/CodexBar caught my eye on GitHub Trending today.
🔗 https://github.com/steipete/CodexBar
📝 Show usage stats for OpenAI Codex and Claude Code, without having to login.
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CodexBar is a tiny macOS 14+ menu bar app that keeps AI coding-provider limits visible and shows when each window resets. It supports 57 providers, including Codex, OpenAI, and Claude, with per-provider session, weekly, and monthly windows and countdowns to the next reset. The app features credit balances, Admin API spend dashboards, provider billing summaries, and local cost scans, as well as live status and incident badges.
Technical highlights include provider status polling, configurable cost-usage scans, and optional Codex web dashboard enrichments. The app is privacy-first, reusing existing provider sessions and storing provider tokens and settings in a config file with restrictive permissions.
Usage is simple: install the app, enable the providers you use, and install/sign in to the provider sources you rely on. You can also use the bundled
codexbar CLI for scripts and CI.
Audience includes developers and users who rely on multiple AI coding providers and want to keep track of their limits and usage in one place.
Get started with brew install --cask codexbar and take control of your AI coding limits - never run out of tokens again!
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🧠 Channel: https://t.me/GithubRe
15 215
📌 Spotted on GitHub Trending: AhmadIbrahiim/Website-downloader — let's break it down.
🔗 https://github.com/AhmadIbrahiim/Website-downloader
📝 💡 Download the complete source code of any website (including all assets). [ Javascripts, Stylesheets, Images ] using Node.js
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The Website-downloader is a powerful tool that allows you to download the complete source code of any website, including all assets. At its core, it utilizes wget and archiver to download and compress website assets, which are then sent back to the user through a socket channel.
To use this tool, you can
git clone the repository, install the necessary dependencies with npm install, and start the application with npm start. The tool can be accessed at http://localhost:3000/.
Some of the key wget parameters used include --mirror, --convert-links, and --page-requisites, which enable recursive downloading, conversion of links to relative formats, and downloading of required page assets, respectively.
The tool can be deployed on various cloud providers, including Replit, Glitch, and Render, using the provided deploy buttons.
Whether you're a developer looking to test websites offline or a user wanting to save a website for later, the Website-downloader is a valuable resource.
In short, with the Website-downloader, you can download an entire website with just a few clicks.
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🧠 Channel: https://t.me/GithubRe
15 215
🎯 TencentCloud/CubeSandbox landed on trending. Worth a proper look.
🔗 https://github.com/TencentCloud/CubeSandbox
📝 Instant, Concurrent, Secure & Lightweight Sandbox for AI Agents.
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CubeSandbox is an instant, concurrent, secure, and lightweight sandbox service for AI agents. It's built on RustVMM and KVM, offering hardware-level isolation and millisecond-level startup. Key features include
sub-60ms boot, high density, and auto pause/resume for cost optimization. The service is also E2B-compatible, allowing for seamless migration.
The technical highlights of CubeSandbox include its ability to create a hardware-isolated, fully serviceable sandbox in under 60ms with less than 5MB of memory overhead. It supports both single-node deployment and easy scaling to multi-node clusters.
This project is ideal for developers and DevOps teams looking for a secure and efficient way to run AI agents. To get started, simply follow the four-step quick start guide, which includes provisioning a server, installing Cube Sandbox, creating a sandbox template, and running your first sandbox.
One-liner takeaway: With CubeSandbox, you can run thousands of secure, isolated AI agents on a single node in milliseconds.
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🧠 Channel: https://t.me/GithubRe15 215
🎯 asgeirtj/system_prompts_leaks landed on trending. Worth a proper look.
🔗 https://github.com/asgeirtj/system_prompts_leaks
📝 Extracted system prompts from Anthropic - Claude Fable 5, Opus 4.8, Claude Code, Claude Design. OpenAI - ChatGPT 5.5 Thinking, GPT 5.5 Instant, Codex. Google - Gemini 3.5 Flash, 3.1 Pro, Antigravity. xAI - Grok, Cursor, Copilot, VS Code, Perplexity, and more. Updated regularly.
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The system_prompts_leaks GitHub repository is a fascinating collection of system prompts for various AI chatbots, including Claude, ChatGPT, and Gemini. The purpose of this repository is to document and share the system prompt instructions for these AI models, allowing users to understand the underlying rules and guidelines that govern their behavior.
The repository contains a wide range of key features, including system prompts for different models, such as Claude Opus 4.8, ChatGPT GPT-5.5, and Gemini 3.5 Flash. It also includes usage examples, such as how to use the system prompts to rewrite articles or generate code.
From a technical standpoint, the repository is well-organized, with clear and concise documentation for each system prompt. The repository is also regularly updated, with new system prompts and models being added all the time.
The repository is likely to be of interest to developers and researchers working with AI chatbots, as well as anyone looking to gain a deeper understanding of how these models work.
In short, the system_prompts_leaks repository is a treasure trove of information for anyone interested in AI chatbots, and is sure to be a valuable resource for years to come:
System prompts are the secret sauce behind AI chatbots.
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🧠 Channel: https://t.me/GithubRe
