🌟 VoltAgent/awesome-design-md caught my eye on GitHub Trending today.

🔗 https://github.com/VoltAgent/awesome-design-md
📝 A collection of DESIGN.md files analysis by popular brand design systems. Drop one into your project and let coding agents generate a matching UI.
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The VoltAgent/awesome-design-md GitHub repository is a curated collection of DESIGN.md files, a new concept introduced by Google Stitch, that enables AI agents to generate consistent UI. This repository provides ready-to-use DESIGN.md files extracted from real websites, including popular companies like Apple, Nike, and Spotify.

The key features of this repository include a wide range of DESIGN.md files from various industries, a simple and easy-to-use format, and the ability to request a DESIGN.md file for a specific website.

From a technical standpoint, the repository uses a plain-text design system document that AI agents can read to generate high-quality UI. The DESIGN.md files are written in Markdown, making it easy for developers to understand and implement.

This repository is ideal for developers, designers, and vibecoders who want to generate consistent UI using AI agents. With over 70 DESIGN.md files available, this repository is a valuable resource for anyone looking to create high-quality UI.

In summary, the VoltAgent/awesome-design-md repository is a game-changer for UI generation, and its impact can be summed up in one line: With VoltAgent/awesome-design-md, you can now generate consistent UI with ease, and take your design to the next level!

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🧠 Channel: https://t.me/GithubRe

🚀 Looking for a portfolio-ready NLP project?

I recently published an end-to-end walkthrough on Towards Data Science using Kaggle’s Spooky Author Identification dataset.

You’ll see how far classical NLP can go with:

📝 Bag-of-Words and TF-IDF
🔤 Character n-grams
📊 Model comparison
🧩 Ensemble stacking

It’s a practical project for anyone preparing for an ML/DS role, with no deep learning required. I walk through the entire workflow step by step:

🔗 https://towardsdatascience.com/how-far-can-classical-nlp-go-from-bag-of-words-to-stacking-on-spooky-author-identification/

📌 Spotted on GitHub Trending: iOfficeAI/OfficeCLI — let's break it down.

🔗 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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Introducing OfficeCLI, the world's first Office suite designed for AI agents. This open-source tool allows AI agents to control Word, Excel, and PowerPoint with a single line of code, no Office installation required. OfficeCLI's built-in HTML rendering engine reproduces documents with high fidelity, giving AI agents "eyes" to work with.

Key features include creating, reading, and editing Office documents, analyzing formatting issues, and modifying elements like text, fonts, and layouts. officecli commands enable seamless interaction with Office documents, making it easy to add slides, shapes, and content.

For AI agents, getting started is as simple as running curl -fsSL https://officecli.ai/SKILL.md. Humans can use officecli with a GUI through AionUi or via the command line. Developers can install and test OfficeCLI in 30 seconds using a few bash commands.

Some technical highlights include full i18n and RTL support, paragraph, run, table, and style modification in Word, as well as cell, formula, and sheet manipulation in Excel.

The audience for OfficeCLI includes AI agents, developers, and anyone looking to automate Office tasks.

In a nutshell, OfficeCLI revolutionizes Office automation, making it possible to create, read, and edit Office documents with ease — and that's a game-changer for AI and human users alike.

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🧠 Channel: https://t.me/GithubRe

🚀 Meet wonderwhy-er/DesktopCommanderMCP: a gem from today's GitHub trending list.

🔗 https://github.com/wonderwhy-er/DesktopCommanderMCP
📝 This is MCP server for Claude that gives it terminal control, file system search and diff file editing capabilities
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Desktop Commander MCP is a powerful tool that lets you search, update, manage files, and run terminal commands with AI. It offers a wide range of features, including remote AI control, file preview UI, enhanced terminal commands, and instant data analysis. You can use it to execute code in memory, interact with running processes, and manage files and directories. The tool also provides comprehensive audit logging and security hardening to ensure your data is safe.

To get started, you can install Desktop Commander MCP using one of the six options provided, including npx, bash script installer, Smithery, manual configuration, local checkout, or Docker installation. Each option has its own advantages and disadvantages, and you can choose the one that best suits your needs.

Some of the key features of Desktop Commander MCP include:

* Remote AI control: Use Desktop Commander from ChatGPT, Claude web, and other AI services via Remote MCP
* File preview UI: Visual file previews in Claude Desktop with rendered markdown, inline images, expandable content, and more
* Enhanced terminal commands: Execute terminal commands with output streaming, command timeout, and background execution support
* Instant data analysis: Analyze CSV/JSON/Excel files with just a few clicks

Desktop Commander MCP is designed for developers, data scientists, and anyone who wants to streamline their workflow and improve their productivity. With its robust features and user-friendly interface, it's an essential tool for anyone looking to take their work to the next level.

In short, Desktop Commander MCP is a game-changer for anyone who wants to work smarter, not harder - it's like having a superpower in your terminal.

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🧠 Channel: https://t.me/GithubRe

🌟 anthropics/claude-cookbooks caught my eye on GitHub Trending today.

🔗 https://github.com/anthropics/claude-cookbooks
📝 A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
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The Claude Cookbooks repository is a treasure trove of code snippets and guides designed to help developers build with Claude, a powerful AI assistant. To get started, you'll need a Claude API key, which you can sign up for free. The cookbooks feature a wide range of Python examples, but the concepts can be adapted to any programming language that supports interaction with the Claude API.

The repository is divided into several sections, including Capabilities, Tool Use and Integration, Third-Party Integrations, and Multimodal Capabilities. You'll find examples on how to use Claude for text classification, retrieval augmented generation, and summarization, as well as how to integrate it with external tools and services.

The cookbooks are designed for developers of all levels, from beginners to advanced users. If you're new to working with the Claude API, you can start with the Claude API Fundamentals course to get a solid foundation. The repository also includes a list of additional resources, such as the Anthropic developer documentation and the Anthropic Discord community, where you can connect with other developers and get help.

The Claude Cookbooks are a community-driven effort, and contributions are welcome. Whether you're a seasoned developer or just starting out, you can help make this resource even more valuable by submitting your own code snippets, guides, or ideas.

In short, the Claude Cookbooks are your go-to resource for building with Claude - so why wait, start cooking up something amazing today!

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🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into vxcontrol/pentagi — fresh off the trending list.

🔗 https://github.com/vxcontrol/pentagi
📝 Fully autonomous AI Agents system capable of performing complex penetration testing tasks
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PentAGI is an innovative, AI-powered tool for automated security testing, designed for information security professionals and enthusiasts. Its key features include a fully autonomous AI agent, professional pentesting tools, and a smart memory system for storing research results.

To get started, users can follow the Quick Start guide, and then access the system's features through its modern interface or Comprehensive APIs. The system's architecture is based on a microservices design, supporting horizontal scaling, and includes a knowledge graph integration using Graphiti and Neo4j.

The target audience for PentAGI includes security researchers, AI enthusiasts, and ethical hackers. From a technical perspective, the system is built using a range of technologies, including Go, GraphQL, React, and TypeScript, and supports multiple LLM providers, such as OpenAI and Anthropic.

In summary, PentAGI is a powerful and flexible solution for penetration testing, leveraging AI and other cutting-edge technologies - revolutionizing the world of security testing, one hack at a time.

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🧠 Channel: https://t.me/GithubRe

🎯 unclecode/crawl4ai landed on trending. Worth a proper look.

🔗 https://github.com/unclecode/crawl4ai
📝 🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here:https://discord.gg/jP8KfhDhyN
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Crawl4AI is an open-source web crawler and scraper designed to produce clean, LLM-ready Markdown for data pipelines and AI applications. Its key features include fast and controllable crawling, adaptive intelligence to learn site patterns, and full control over sessions, proxies, and user scripts.

To use Crawl4AI, you can install it via pip and run a simple web crawl using Python:

import asyncio
from crawl4ai import *

async def main():
    async with AsyncWebCrawler() as crawler:
        result = await crawler.arun(
            url="https://www.nbcnews.com/business",
        )
        print(result.markdown)

if __name__ == "__main__":
    asyncio.run(main())

Alternatively, you can use the command-line interface:
crwl https://www.nbcnews.com/business -o markdown

Technical highlights of Crawl4AI include its browser integration with managed browsers, structured data extraction using LLMs, and a scalable architecture designed for mass-scale production.

Crawl4AI is ideal for developers, startups, and enterprises looking for a reliable and cost-effective web crawling solution.

In short, Crawl4AI is the ultimate web crawling solution for anyone who wants to extract data from the web without breaking the bank.

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🧠 Channel: https://t.me/GithubRe

🌟 imthenachoman/How-To-Secure-A-Linux-Server caught my eye on GitHub Trending today.

🔗 https://github.com/imthenachoman/How-To-Secure-A-Linux-Server
📝 An evolving how-to guide for securing a Linux server.
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The GitHub repo "imthenachoman/How-To-Secure-A-Linux-Server" is a comprehensive guide to securing a Linux server. The purpose of this guide is to teach users how to secure their Linux servers by covering various topics such as SSH server security, basics like limiting sudo and su access, network security with firewalls, and auditing.

The guide is work in progress and is focused on at-home Linux servers, making it a great resource for individuals and small organizations. It's Linux distribution agnostic, meaning the concepts and recommendations apply to most Linux distributions.

In terms of usage, the guide provides code snippets that can be copied and pasted, making it easy to follow along. The guide also highlights the importance of security updates and alerts, as well as automatic entropy pool updates for more secure random number generation.

From a technical standpoint, the guide covers topics like UFW (Uncomplicated Firewall), iptables, Fail2Ban, and CrowdSec for network security. It also touches on Ansible playbooks for automating security tasks.

The guide is geared towards users who have basic knowledge of Linux and want to learn about security. If you're new to Linux, it's recommended to start with a beginner's guide before diving into this one.

In summary, securing your Linux server is crucial - don't wait until it's too late, start securing your server today!

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🧠 Channel: https://t.me/GithubRe