🎯 aws/agent-toolkit-for-aws landed on trending. Worth a proper look.

🔗 https://github.com/aws/agent-toolkit-for-aws
📝 Official, AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS
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The Agent Toolkit for AWS is an open-source project that enables AI coding agents to build, deploy, and manage applications on AWS. It provides a set of tools, knowledge, and guardrails for agents to work with AWS services, including Claude Code, Codex, Cursor, and Kiro.

The toolkit includes plugins that bundle AWS MCP Server configuration and agent skills, such as aws-core, aws-agents, and aws-data-analytics. These plugins cover various aspects of AWS, including service selection, CDK/CloudFormation, serverless, containers, storage, observability, billing, SDK usage, and deployment.

To get started, users can install the plugins using their preferred coding agent, such as Claude Code or Codex. For example, in Claude Code, users can install the aws-core plugin using the command /plugin install aws-core@claude-plugins-official.

The toolkit also includes skills that are curated packages of instructions and reference materials for completing specific AWS tasks. Users can load skills on demand, and agents can discover and retrieve relevant skills as needed.

The AWS MCP Server is a key component of the toolkit, providing a managed server that gives agents access to AWS through the Model Context Protocol. It offers features such as full AWS API coverage, sandboxed script execution, real-time documentation access, and enterprise controls.

The Agent Toolkit for AWS is suitable for developers, DevOps teams, and organizations that want to leverage AI coding agents to streamline their workflows and improve productivity on AWS.

In summary, the Agent Toolkit for AWS is a powerful tool that empowers AI coding agents to work seamlessly with AWS services, and its adoption can revolutionize the way you develop, deploy, and manage applications on AWS.

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💡 mukul975/Anthropic-Cybersecurity-Skills just hit the trending charts — here's why it matters.

🔗 https://github.com/mukul975/Anthropic-Cybersecurity-Skills
📝 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0
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Unlock Expert-Level Cybersecurity Skills for Your AI Agent

The Anthropic Cybersecurity Skills repository on GitHub provides a comprehensive library of 817 production-grade cybersecurity skills, spanning 29 security domains. These skills are designed to help AI agents develop the expertise of a senior security analyst, enabling them to tackle complex cybersecurity challenges with ease.

The repository includes six industry frameworks, such as MITRE ATT&CK, NIST CSF 2.0, and MITRE D3FEND, ensuring unified cross-framework coverage. Each skill is carefully crafted to provide step-by-step execution and verification, giving AI agents the structured decision-making workflow they need to succeed.

To get started, simply clone the repository and point your AI agent at it. The skills are compatible with various AI platforms, including Claude Code, GitHub Copilot, and OpenAI Codex CLI.

Key highlights:
- 817 production-grade cybersecurity skills
- 29 security domains, including cloud security, threat hunting, and digital forensics
- Six industry frameworks for unified cross-framework coverage
- Compatible with 26+ AI platforms
- agentskills.io open standard for seamless integration

Whether you're a security professional, developer, or enterprise team, this repository is an invaluable resource for giving your AI agent the cybersecurity skills it needs to excel. Take the GARS-2026 survey to contribute to the global agentic AI readiness study and get 50 Casky Tokens for early access to casky.ai.

Give your AI agent the gift of expert-level cybersecurity skills today!

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🧠 Channel: https://xn--r1a.website/GithubRe

🚀 Meet alibaba/page-agent: a gem from today's GitHub trending list.

🔗 https://github.com/alibaba/page-agent
📝 JavaScript in-page GUI agent. Control web interfaces with natural language.
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The alibaba/page-agent GitHub repository is home to the innovative Page Agent, a GUI agent that can control web interfaces with natural language. This project allows for easy integration with just a few lines of in-page JavaScript, eliminating the need for browser extensions, Python, or headless browsers. Key features include text-based DOM manipulation, the ability to bring your own LLMs, and an optional Chrome extension for multi-page tasks.

The Page Agent is versatile and can be used in various use cases, such as creating a SaaS AI copilot, implementing smart form filling, enhancing accessibility, and more. To get started, users can try the one-line integration with a free demo LLM or install the package via npm install page-agent.

From a technical standpoint, the project is built using TypeScript and has a relatively small bundle size. The repository is actively maintained and welcomes contributions from the community. The project is licensed under the MIT License and acknowledges the work of the browser-use project.

The Page Agent is designed for client-side web enhancement and can be used by developers, businesses, and individuals looking to automate web interactions or create custom AI-powered interfaces. With its ease of use and flexibility, the Page Agent has the potential to revolutionize the way we interact with web applications. Star this repo if you find PageAgent helpful - it's a game-changer for web automation and AI-powered interfaces!

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🧠 Channel: https://xn--r1a.website/GithubRe

🌟 IceWhaleTech/CasaOS caught my eye on GitHub Trending today.

🔗 https://github.com/IceWhaleTech/CasaOS
📝 CasaOS - A simple, easy-to-use, elegant open-source Personal Cloud system.
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CasaOS is an open-source personal cloud system designed for home scenarios, providing a low-cost data collaboration solution and a personalized copilot. The key features of CasaOS include a friendly UI, multiple hardware and base system support, selected apps in the app store, and elegant drive and file management.

To get started with CasaOS, you can install it on a compatible system such as Debian, Ubuntu, or Raspberry Pi OS, using a one-liner installation command:

wget -qO- https://get.casaos.io | sudo bash

or

curl -fsSL https://get.casaos.io | sudo bash

.

CasaOS is a community-driven project, and contributions are welcome. Whether you're a developer, designer, or simply a user, you can help shape the future of CasaOS.

The target audience for CasaOS includes individuals and small organizations looking for a cost-effective and efficient computing solution.

In summary, CasaOS is a game-changer for personal cloud computing - take control of your digital life with CasaOS, your personal cloud.

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🧠 Channel: https://xn--r1a.website/GithubRe

🚀 Meet opendatalab/MinerU: a gem from today's GitHub trending list.

🔗 https://github.com/opendatalab/MinerU
📝 Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
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MinerU is an open-source, high-accuracy document parsing engine designed for LLM, RAG, and Agent workflows. It supports the conversion of various file formats, including PDF, DOCX, PPTX, XLSX, images, and web pages, into structured Markdown or JSON. Key features include native support for DOCX, PPTX, and XLSX parsing, formulas to LaTeX conversion, and tables to HTML reconstruction. The engine also supports scanned documents, handwriting, multi-column layouts, and cross-page table merging.

Technical highlights of MinerU include its VLM + OCR dual engine, which enables 109-language OCR recognition, and its support for domestic AI chips such as Ascend, Cambricon, and Enflame. The engine can be integrated with various frameworks, including LangChain, Dify, and FastGPT, and can be deployed privately and fully offline.

Audience for MinerU includes developers, researchers, and users who need to parse and convert documents into structured formats for various applications, such as AI coding tools, RAG frameworks, and no-code platforms. With its high-accuracy parsing capabilities, flexible integration options, and support for multiple AI chips, MinerU is a powerful tool for anyone looking to streamline their document processing workflows.

MinerU is available in multiple formats, including a web version, desktop client, and API access, making it easy to get started with the platform. Overall, MinerU is a versatile and powerful document parsing engine that can help users unlock the full potential of their documents and streamline their workflows. Get started with MinerU today and discover a new world of document parsing possibilities!

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🧠 Channel: https://xn--r1a.website/GithubRe

🎯 Free-TV/IPTV landed on trending. Worth a proper look.

🔗 https://github.com/Free-TV/IPTV
📝 M3U Playlist for free TV channels
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The Free-TV/IPTV GitHub repository provides a curated list of free TV channels from around the world, available for streaming via IPTV players. The playlist is carefully maintained to ensure quality over quantity, with a focus on HD channels, no duplicate or regional feeds, and only officially free channels.

To use the playlist, simply point your IPTV player to the provided M3U8 file. The repository also includes a list of feed sources and guidelines for contributing to the playlist.

The main goals of this project are to provide a high-quality, free TV channel playlist, with a focus on mainstream channels that are available to everyone. The playlist is generated using a Python script and is updated regularly.

The target audience for this repository includes anyone looking for free TV channels, including those who want to cut the cord and streaming enthusiasts.

Technical highlights of the project include the use of M3U8 playlists, geoIP blocking, and live YouTube channels.

Overall, the Free-TV/IPTV repository is a valuable resource for anyone looking for free TV channels, and its focus on quality and mainstream content makes it a great option for streaming enthusiasts.
Cut the cord and get free TV with Free-TV/IPTV!

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🧠 Channel: https://xn--r1a.website/GithubRe

🚀 Meet shanraisshan/claude-code-best-practice: a gem from today's GitHub trending list.

🔗 https://github.com/shanraisshan/claude-code-best-practice
📝 from vibe coding to agentic engineering - practice makes claude perfect
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The claude-code-best-practice GitHub repository is a comprehensive resource for Claude Code users, providing a wide range of features, tools, and best practices to enhance productivity and efficiency.

Key features include Subagents, Commands, Skills, Workflows, and Hooks, which can be used to automate tasks, streamline workflows, and improve overall performance.

Technical highlights of the repository include its extensive documentation, best-practice guides, and implementation examples, making it an invaluable resource for both beginners and experienced users.

The repository is suitable for anyone looking to improve their Claude Code skills, including developers, engineers, and researchers.

To get the most out of this repository, users can explore the various features, tools, and guides provided, and use them to enhance their Claude Code experience.

In summary, the claude-code-best-practice repository is a must-visit destination for anyone looking to take their Claude Code skills to the next level: Master Claude Code and unleash your productivity potential.

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🧠 Channel: https://xn--r1a.website/GithubRe

🔥 NanmiCoder/MediaCrawler is trending — and it deserves your attention.

🔗 https://github.com/NanmiCoder/MediaCrawler
📝 小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频 ｜ 评论爬虫、微博帖子 ｜ 评论爬虫、百度贴吧帖子 ｜ 百度贴吧评论回复爬虫 | 知乎问答文章｜评论爬虫
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MediaCrawler is a powerful multi-platform media data collection tool that supports data crawling from popular platforms like Xiaohongshu, Douyin, Kuaishou, Bilibili, Weibo, Tieba, and Zhihu.

Its key features include keyword search, specified post ID crawling, second-level comment crawling, and more. The project utilizes Playwright for browser automation and does not require JS reverse engineering, making it more accessible.

To use MediaCrawler, you'll need to installdependencies like uv and Node.js, and then run the main.py file with the desired platform and login type. The project also provides a WebUI for a more visual experience.

The target audience for MediaCrawler includes developers, researchers, and individuals interested in learning about web scraping and data collection.

MediaCrawlerPro is also available, offering more advanced features like self-media content decomposition and multi-account support.

In short, MediaCrawler is a versatile tool for media data collection, suitable for both beginners and experienced users.

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🧠 Channel: https://xn--r1a.website/GithubRe