Github Top Repositories
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Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.
Mostrar más📈 Análisis del canal de Telegram Github Top Repositories
El canal Github Top Repositories (@githubre) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 14 225 suscriptores, ocupando la posición 13 933 en la categoría Educación y el puesto 28 177 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 14 225 suscriptores.
Según los últimos datos del 31 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 287, y en las últimas 24 horas de 19, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 0.99%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.65% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 141 visualizaciones. En el primer día suele acumular 93 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 1.
- Intereses temáticos: El contenido se centra en temas clave como repository, fork, programming, statistic, description.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Top GitHub repositories in one place 🚀
Explore the best projects in programming, AI, data science, and more.”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 01 septiembre, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Educación.
14 225
Suscriptores
+1924 horas
+877 días
+28730 días
Archivo de publicaciones
14 225
🔥 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/GithubRe14 225
🎯 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
14 225
🔍 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/skills14 225
🌟 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
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📌 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
14 225
🎯 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/GithubRe14 225
🎯 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
14 225
🔍 Deep-diving into ruvnet/RuView — fresh off the trending list.
🔗 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 WiFi sensing platform that leverages the disturbances in WiFi signals caused by human presence to detect and track people, breathing rates, and heart rates. This technology works through walls, in the dark, and without cameras or wearables, providing a unique solution for spatial intelligence and sensing.
Key features include presence detection, vital sign measurement, activity recognition, environment mapping, and sleep quality monitoring. The system integrates with major smart-home ecosystems like
Home Assistant, Apple Home, Google Home, and Alexa, allowing for seamless voice control and automation.
Technical highlights of RuView include its ability to run on low-cost ESP32 hardware, leveraging Channel State Information (CSI) to capture disturbances in WiFi signals. The platform utilizes spiking neural networks for real-time learning and adaptation, with a pre-trained model available on Hugging Face.
Audience for RuView includes developers, researchers, and smart home enthusiasts interested in exploring the potential of WiFi sensing technology for various applications, from healthcare and security to smart buildings and home automation.
To get started with RuView, users can choose from multiple options, including a Docker setup for simulated data, live sensing with ESP32-S3 hardware, or a full system with Cognitum Seed for persistent storage and advanced features.
In summary, RuView is a groundbreaking WiFi sensing platform that turns ordinary WiFi into a spatial intelligence system, providing a robust and versatile solution for various applications: RuView sees through walls, and so can you.
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🧠 Channel: https://t.me/GithubRe
14 225
🚀 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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Agent Skills is a collection of production-grade engineering skills for AI coding agents, designed to streamline software development workflows. The repository provides 24 skills that cover the entire development lifecycle, from defining what to build to shipping it to production.
Key features include
8 slash commands that map to different stages of development, such as /spec, /plan, /build, and /ship. These commands activate the right skills automatically, ensuring consistency and efficiency in the development process.
To get started, users can install the skills using the skills CLI or integrate them with various agents like Claude Code, Cursor, or Codex. The skills are designed to be flexible and can be used with any agent that accepts system prompts or instruction files.
The repository also includes technical highlights such as automated testing, code review, and performance optimization. The skills are structured as workflows with steps, verification gates, and anti-rationalization tables, making it easier for developers to follow best practices and ensure high-quality code.
Agent Skills is suitable for a wide range of users, from individual developers to large teams, and can be used with various programming languages and frameworks.
In summary, Agent Skills helps developers build better software, faster.
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🧠 Channel: https://t.me/GithubRe14 225
⚡ Zackriya-Solutions/meetily is making waves. Here's the full picture.
🔗 https://github.com/Zackriya-Solutions/meetily
📝 Privacy first, AI meeting assistant with 4x faster Parakeet/Whisper live transcription, speaker diarization, and Ollama summarization built on Rust. 100% local processing. no cloud required. Meetily (Meetly Ai -https://meetily.ai) is the #1 Self-hosted, Open-source Ai meeting note taker for macOS & Windows.
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The Zackriya-Solutions/meetily GitHub repository presents a privacy-first AI meeting assistant designed to capture, transcribe, and summarize meetings entirely on your local infrastructure. This solution is perfect for enterprises that require advanced meeting intelligence without compromising on privacy, compliance, or control.
Key features include
real-time transcription, AI-powered summaries, and multi-platform support for macOS, Windows, and Linux. The application is open source and free to use, with flexible AI provider support and custom OpenAI endpoint configuration.
The installation process is straightforward, with options for Windows, macOS, and Linux. For developers, the repository provides detailed build instructions and a contributing guide.
A Meetily PRO upgrade is available for users who need enhanced accuracy and advanced features, including custom summary templates, advanced exports, and self-hosted deployment options.
Meetily is ideal for professionals, teams, and organizations that require a privacy-first meeting assistant with enterprise-ready capabilities.
One-liner takeaway: Meetily empowers you to have total control over your meeting data with its privacy-first AI meeting assistant.
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🧠 Channel: https://t.me/GithubRe14 225
🎯 MadsLorentzen/ai-job-search landed on trending. Worth a proper look.
🔗 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 framework that utilizes Claude Code to streamline your job application process. This powerful tool allows you to create a personalized profile, search for job openings, and even draft tailored CVs and cover letters. With its
drafter-reviewer workflow, you can ensure that your applications are both relevant and effective.
To get started, simply fork and clone the repository, then follow the quick start guide to set up your profile and install the necessary job search tools. The framework includes features like expand to enrich your profile, upskill to analyze skill gaps, and add-template to register custom LaTeX templates.
The technical highlights of this framework include its use of LaTeX for CV and cover letter compilation, as well as its ATS verification process to ensure that your applications are optimized for applicant tracking systems. The framework also includes a salary_lookup.py tool for benchmarking salaries.
Whether you're a recent graduate or an experienced professional, AI Job Search is an invaluable resource for anyone looking to take their job search to the next level. So why wait? Clone the repository and start streamlining your job search today - and remember, with AI Job Search, you can apply smarter, not harder.
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🧠 Channel: https://t.me/GithubRe
14 225
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