Github Top Repositories
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Top GitHub repositories in one place π Explore the best projects in programming, AI, data science, and more.
Show moreπ Analytical overview of Telegram channel Github Top Repositories
Channel Github Top Repositories (@githubre) in the English language segment is an active participant. Currently, the community unites 15 212 subscribers, ranking 13 433 in the Education category and 26 115 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 15 212 subscribers.
According to the latest data from 04 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 407 over the last 30 days and by 27 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 0.93%. Within the first 24 hours after publication, content typically collects 0.62% reactions from the total number of subscribers.
- Post reach: On average, each post receives 142 views. Within the first day, a publication typically gains 95 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
- Thematic interests: Content is focused on key topics such as repository, fork, programming, statistic, description.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βTop GitHub repositories in one place π
Explore the best projects in programming, AI, data science, and more.β
Thanks to the high frequency of updates (latest data received on 05 November, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.
15 212
Subscribers
+2724 hours
+807 days
+40730 days
Posts Archive
15 213
π₯ addyosmani/agent-skills is trending β and it deserves your attention.
π https://github.com/addyosmani/agent-skills
π Production-grade engineering skills for AI coding agents.
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Agent Skills is a GitHub repository that provides production-grade engineering skills for AI coding agents. The repository includes 23 skills that cover various aspects of software development, from defining what to build to shipping code to production.
The skills are structured as workflows with steps, verification gates, and anti-rationalization tables. They can be activated using 7 slash commands that map to the development lifecycle, such as
/spec, /plan, /build, /test, /review, /code-simplify, and /ship.
The repository also includes pre-configured specialist personas for targeted reviews, such as code reviewer, test engineer, and security auditor. Additionally, it provides quick-reference material, including testing patterns, security checklists, performance checklists, and accessibility checklists.
The skills can be used with various platforms, including Claude Code, Cursor, Gemini CLI, Windsurf, OpenCode, GitHub Copilot, and Kiro IDE & CLI.
Overall, Agent Skills provides a comprehensive set of skills and tools to help AI coding agents follow best practices and produce high-quality code.
The key takeaway: Empower your AI coding agents with Agent Skills to streamline your development workflow and improve code quality.
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π§ Channel: https://t.me/GithubRe15 213
π Deep-diving into addyosmani/agent-skills β fresh off the trending list.
π https://github.com/addyosmani/agent-skills
π Production-grade engineering skills for AI coding agents.
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Agent Skills is a GitHub repository that provides production-grade engineering skills for AI coding agents. These skills encode workflows, quality gates, and best practices that senior engineers use when building software, ensuring AI agents follow them consistently across every phase of development. The repository includes 7 slash commands that map to the development lifecycle, such as
/spec, /plan, and /build, which activate the right skills automatically.
The pack includes 23 skills in total, covering various aspects of software development, including spec-driven-development, test-driven-development, code-review-and-quality, and security-and-hardening. Each skill is a structured workflow with steps, verification gates, and anti-rationalization tables.
To get started, users can install the skills using Claude Code, Cursor, Gemini CLI, or other methods. The skills are designed to work with any agent that accepts system prompts or instruction files.
Agent Skills is perfect for developers, engineers, and teams looking to improve their software development workflow and ensure high-quality code. With its comprehensive set of skills and easy installation process, it's an excellent resource for anyone looking to take their development skills to the next level.
The ultimate takeaway: Use Agent Skills to supercharge your coding workflow and write better code, faster!
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π§ Channel: https://t.me/GithubRe15 213
π Meet francescopace/espectre: a gem from today's GitHub trending list.
π https://github.com/francescopace/espectre
π π ESPectre π» - Motion detection system based on Wi-Fi spectre analysis (CSI), with Home Assistant integration.
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ESPectre is a motion detection system that uses Wi-Fi spectre analysis to detect movement without cameras or microphones. It works by analyzing the changes in Wi-Fi signals caused by movement, providing a total privacy solution. The system is based on an ESP32 device and can be integrated with Home Assistant for a seamless experience.
The key features of
ESPectre include:
- No calibration required with the new ML detector
- Easy setup in just 10-15 minutes
- Low cost with a total cost of ~β¬10 for the ESP32 device
- No programming required with YAML configuration files
The system is suitable for a variety of use cases, including home security, elderly care, and smart automation. It can also be used to save energy by automatically turning off devices in empty rooms.
One of the main advantages of ESPectre is its ability to work through walls, making it a great solution for large homes or offices. The system is also highly customizable, with adjustable thresholds and sensitivity settings.
In terms of technical highlights, ESPectre uses a focused processing pipeline for motion detection, which includes gain lock, auto-calibration, and adaptive thresholding. The system also supports single or multiple sensors, making it easy to scale up or down depending on the specific use case.
Overall, ESPectre is a powerful and user-friendly motion detection system that provides a unique solution for those looking for a private and cost-effective way to detect movement.
One-liner takeaway: ESPectre revolutionizes motion detection with its privacy-focused and cost-effective Wi-Fi spectre analysis technology.
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π§ Channel: https://t.me/GithubRe
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15 213
π Deep-diving into maziyarpanahi/openmed β fresh off the trending list.
π https://github.com/maziyarpanahi/openmed
π open-source healthcare ai
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OpenMed is a local-first healthcare AI that analyzes clinical text entirely on your device, with no cloud, no vendor lock-in, and no patient data leaving your network. It features
1,000+ specialized medical models, 12 languages, and 247 PII checkpoints, all running 100% on-device with Apache-2.0 licensing.
To use OpenMed, simply pip install openmed and call analyze_text() with your clinical text and a chosen model name. For example:
from openmed import analyze_text
result = analyze_text("Patient started on imatinib for chronic myeloid leukemia.", model_name="disease_detection_superclinical")
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π Meet openai/plugins: a gem from today's GitHub trending list.
π https://github.com/openai/plugins
π OpenAI Plugins
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The openai/plugins repository is a collection of curated Codex plugin examples to help you get started with building your own plugins. Each plugin has its own directory with a required
plugin.json manifest file and optional companion files like skills/, agents/, and assets/.
The repository includes richer examples such as plugins for Figma, Notion, and building iOS, macOS, and web apps. These examples showcase how to use Codex for tasks like design system rules, planning, and deployment.
If you're interested in building your own plugins or integrating Codex with other tools, this repository is a great resource. Whether you're a developer looking to automate tasks or a team looking to streamline workflows, the openai/plugins repository has something for you.
One-liner takeaway: Dive into the openai/plugins repository to unlock a world of Codex plugin possibilities and supercharge your development workflow!
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π§ Channel: https://t.me/GithubRe15 213
π‘ santifer/career-ops just hit the trending charts β here's why it matters.
π https://github.com/santifer/career-ops
π AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing.
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Career-Ops is an open-source, AI-powered job search command center that turns any AI coding CLI into a full-fledged career management system. It helps candidates choose companies by evaluating job listings, generating tailored CVs, scanning portals, and tracking applications.
The system features a
6-Block Evaluation process, Interview Story Bank, Negotiation Scripts, and ATS PDF Generation. It also includes a Portal Scanner for 45+ pre-configured companies and custom queries, as well as Batch Processing for parallel evaluation.
To get started, users can run npx @santifer/career-ops init or clone the repository and install dependencies. The system is designed to be customized by Claude itself and supports Gemini CLI integration.
Career-Ops is perfect for candidates who want to take control of their job search and make informed decisions. With its AI-powered evaluation and recommendation features, it helps users find the best job opportunities and increase their chances of landing their dream role.
The system is built with technologies like Claude Code, OpenCode, Gemini CLI, Codex, and Node.js. It's available in multiple languages and has a MIT license.
In short, Career-Ops is a game-changer for job seekers, and its AI-powered approach helps them find the few offers worth their time out of hundreds - your time is valuable, and so is the recruiter's.
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π§ Channel: https://t.me/GithubRe
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π Meet phuryn/pm-skills: a gem from today's GitHub trending list.
π https://github.com/phuryn/pm-skills
π PM Skills Marketplace: 100+ agentic skills, commands, and plugins β from discovery to strategy, execution, launch, and growth.
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The PM Skills Marketplace is an AI operating system designed to help product managers make better decisions. It offers 68 PM skills and 42 chained workflows across 9 plugins, covering the entire product development process from discovery to strategy, execution, launch, growth, and shipping AI-built code.
The marketplace is compatible with
Claude Code and Cowork, and its skills can also be used with other AI assistants. To get started, you can use commands like /discover, /strategy, or /write-prd to invoke specific workflows.
One of the key features of the PM Skills Marketplace is its ability to provide structure and proven PM frameworks, such as those from Teresa Torres, Marty Cagan, and Alberto Savoia. This helps product managers to make better decisions and create more effective product strategies.
From a technical perspective, the marketplace is built using a modular architecture, with each plugin grouping related skills and commands into installable packages. The skills are loaded automatically when relevant to the conversation, and can be invoked using specific commands or by describing the steps in plain language.
The PM Skills Marketplace is designed for product managers, entrepreneurs, and anyone involved in product development. Whether you're looking to improve your product strategy, streamline your execution, or simply make better decisions, the PM Skills Marketplace has something to offer.
In short, the PM Skills Marketplace is a powerful tool that can help you supercharge your product decisions with AI-driven workflows.
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π§ Channel: https://t.me/GithubRe
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π yikart/AiToEarn caught my eye on GitHub Trending today.
π https://github.com/yikart/AiToEarn
π Let's use AI to Earn!
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AiToEarn is an innovative platform that empowers individuals and businesses to monetize, publish, engage, and create content across multiple platforms. With its AI Agent automation, it simplifies the process of building, distributing, and earning from content on various social media channels, including TikTok, YouTube, Facebook, and more.
The platform offers
five usage methods: web, OpenClaw, Claude/Cursor, Docker, and source code development. To get started, users can obtain an API Key by registering and logging in to the website.
Key features include content creation, publishing, and engagement agents, as well as support for multiple platforms and languages. The platform is suitable for one-person companies, creators, and businesses looking to streamline their content marketing efforts.
From a technical standpoint, AiToEarn is built using Node.js 20.18.x and offers a range of tools and integrations for customization and extension.
In summary, AiToEarn is a powerful tool for anyone looking to simplify their content marketing workflow and turn their creativity into cash: create, publish, engage, and earn with AiToEarn - the ultimate content monetization platform!
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π§ Channel: https://t.me/GithubRe
15 213
π Meet x1xhlol/system-prompts-and-models-of-ai-tools: a gem from today's GitHub trending list.
π https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools
π FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models
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The system-prompts-and-models-of-ai-tools GitHub repository is a valuable resource for the AI community, providing a comprehensive collection of system prompts and models for various AI tools. The purpose of this repository is to facilitate the development and improvement of AI systems by offering a centralized hub for
prompts and models.
To get started, users can explore the repository's contents, which include a wide range of prompts and models for different AI applications. The repository is open-source, allowing developers to contribute and share their own prompts and models.
From a technical perspective, the repository highlights the importance of secure data practices, particularly for AI startups, by providing resources and guidance on prompt injection and system prompt extraction risks.
This repository is ideal for AI developers, researchers, and startups looking to improve their AI systems and stay up-to-date with the latest developments in the field.
In short, the system-prompts-and-models-of-ai-tools repository is a go-to resource for anyone involved in AI development - star it and join the community to accelerate your AI journey!
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π§ Channel: https://t.me/GithubRe15 213
π‘ TapXWorld/ChinaTextbook just hit the trending charts β here's why it matters.
π https://github.com/TapXWorld/ChinaTextbook
π ζζε°ει«γ倧ε¦PDFζζγ
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ChinaTextbook is a GitHub repository that provides free access to Chinese textbooks, aiming to promote compulsory education and eliminate regional education disparities. The repository contains a wide range of textbooks, including mathematics for elementary, middle, and high school, as well as university-level mathematics, such as linear algebra and probability theory.
To use the repository, simply browse through the folders and download the desired textbooks. Note that some files may be split into smaller parts due to GitHub's upload limits, but a
mergePDFs-windows-amd64.exe program is provided to merge them.
The repository is maintained by TapXWorld and is open to contributions and donations. Join the Telegram community to get the latest updates and share your thoughts: https://t.me/+1V6WjEq8WEM4MDM1.
One-liner takeaway: Empowering education with free access to Chinese textbooks.
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π§ Channel: https://t.me/GithubRe15 213
β‘ Andyyyy64/whichllm is making waves. Here's the full picture.
π https://github.com/Andyyyy64/whichllm
π Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly.
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Find the perfect LLM for your hardware with Andyyyy64/whichllm, a Python tool that auto-detects your GPU/CPU/RAM and ranks top models from HuggingFace that fit your system. Key features include evidence-based ranking, recency-aware scoring, and architecture-aware estimates.
whichllm is easy to use: just run uvx whichllm@latest or install it with pip install whichllm. You can simulate different GPUs, compare upgrade candidates, and even get copy-paste Python snippets for your chosen model. The tool is designed for developers and researchers who want to get the most out of their hardware. whichllm --gpu "RTX 4090"
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π‘ aaif-goose/goose just hit the trending charts β here's why it matters.
π https://github.com/aaif-goose/goose
π an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
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Meet goose, a general-purpose AI agent designed to run on your machine, making it easy to tackle tasks such as research, writing, automation, and data analysis. With a native desktop app for macOS, Linux, and Windows, a full CLI for terminal workflows, and an API for embedding, goose is built in
Rust for optimal performance and portability.
It supports over 15 providers, including Anthropic, OpenAI, and Google, and connects to 70+ extensions via the Model Context Protocol open standard. To get started, you can download the desktop app or install the CLI using a simple script:
curl -fsSL https://github.com/aaif-goose/goose/releases/download/stable/download_cli.sh | bash15 213
π refactoringhq/tolaria caught my eye on GitHub Trending today.
π https://github.com/refactoringhq/tolaria
π Desktop app to manage markdown knowledge bases
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Tolaria is a desktop app for managing markdown knowledge bases. It's used for personal knowledge, company docs, and storing AI memory and procedures. The app is files-first, git-first, and offline-first, ensuring your data belongs to you, not the app.
Key features include:
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Keyboard-first design for power-users
- Support for AI agents like Claude Code, Codex CLI, and Gemini CLI
- Standards-based notes in markdown with YAML frontmatter
To get started, you can install Tolaria via Homebrew or download the latest release. The app is open source and built with Tauri, React, and TypeScript.
One-liner takeaway: Tolaria is the ultimate tool for managing your knowledge base, giving you complete control over your data and versatility in using AI agents.
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π§ Channel: https://t.me/GithubRe