🔥 apple/container is trending — and it deserves your attention.

🔗 https://github.com/apple/container
📝 A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
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The apple/container repo is home to a powerful tool that lets you create and run Linux containers on your Mac, essentially treating them as lightweight virtual machines. It's built with Swift and optimized for Apple silicon, allowing for seamless integration with your Mac.

Key features include consuming and producing OCI-compatible container images, which means you can pull and run images from any standard container registry, as well as push your own built images to those registries. The container tool utilizes the Containerization Swift package for low-level container management.

To get started, you'll need a Mac with Apple silicon and macOS 26 or later. You can download the latest signed installer package from the GitHub release page, then follow the installation instructions.

The project is under active development, and while it's not yet stable, it's definitely worth checking out. The documentation provides a guided tour, technical overview, and command reference, making it easy for developers to dive in.

Whether you're a seasoned developer or just starting out, the apple/container project has something to offer - so why not containerize your workflow and take your development to the next level: Run anywhere, deploy everywhere.

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🧠 Channel: https://t.me/GithubRe

🎯 addyosmani/agent-skills landed on trending. Worth a proper look.

🔗 https://github.com/addyosmani/agent-skills
📝 Production-grade engineering skills for AI coding agents.
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The Agent Skills GitHub repository provides a set of production-grade engineering skills for AI coding agents. These skills encode workflows, quality gates, and best practices used by senior engineers across various development phases. The repository includes 7 slash commands that map to the development lifecycle, allowing agents to activate the right skills automatically.

To use these skills, you can install them via various methods, including Claude Code, Cursor, Antigravity CLI, Gemini CLI, and more. The repository contains a total of 24 skills, each representing a structured workflow with steps, verification gates, and anti-rationalization tables.

The skills are categorized into Define, Plan, Build, Verify, Review, and Ship phases, covering aspects such as idea refinement, test-driven development, and performance optimization.

Overall, the Agent Skills repository provides a comprehensive set of skills to help AI agents develop software consistently and efficiently. With these skills, you can automate your development workflow and ship faster with confidence.

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🧠 Channel: https://t.me/GithubRe

🎯 maziyarpanahi/openmed landed on trending. Worth a proper look.

🔗 https://github.com/maziyarpanahi/openmed
📝 open-source healthcare ai
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Unlock the power of local-first healthcare AI with OpenMed, a revolutionary platform that turns clinical text into structured insight with just one line of code. No cloud, no vendor lock-in, and no patient data leaving your network. OpenMed boasts 1,000+ specialized medical models, supports 12 languages, and features 247 PII checkpoints for robust de-identification.

Technical highlights include a Python API for easy integration, Apple MLX acceleration for improved performance, and a Swift framework for native iOS and macOS apps. Usage is straightforward, with a simple analyze_text() function for entity extraction and PII de-identification.

Audience: OpenMed is designed for healthcare professionals, researchers, and developers seeking a secure, scalable, and customizable solution for clinical text analysis.

Takeaway: With OpenMed, you can keep patient data safe and secure while still leveraging the power of AI to improve healthcare outcomes — the future of healthcare AI is local, and it's here.

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🧠 Channel: https://t.me/GithubRe

🌟 phuryn/pm-skills caught my eye on GitHub Trending today.

🔗 https://github.com/phuryn/pm-skills
📝 PM Skills Marketplace: 100+ agentic skills, commands, and plugins — from discovery to strategy, execution, launch, and growth.
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The phuryn/pm-skills GitHub repository is a game-changer for product managers, offering a comprehensive AI-powered toolkit to streamline their workflow. With 68 PM skills and 42 chained workflows across 9 plugins, this marketplace provides a structured approach to product decision-making, from discovery to strategy, execution, launch, growth, and shipping AI-built code.

To get started, simply use /discover for new ideas, /strategy for strategic clarity, or /write-prd for writing a PRD. The skills are designed to be compatible with various AI assistants, including Claude Code and Cowork, and can be installed via the CLI or by copying skill folders to the respective directories.

The technical highlights include a modular architecture, with each plugin covering a specific PM domain, and skills that can be invoked using /plugin-name:skill-name or /skill-name. The repository also includes a range of examples and commands to help users get started.

Whether you're a seasoned product manager or just starting out, this toolkit is an invaluable resource. So why settle for generic AI output when you can have structure and rigor in your product decisions? Take your product management skills to the next level with phuryn/pm-skills - your one-stop-shop for better product decisions.

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🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into NVIDIA/SkillSpector — fresh off the trending list.

🔗 https://github.com/NVIDIA/SkillSpector
📝 Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks.
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SkillSpector is a security scanner designed to detect vulnerabilities and malicious patterns in AI agent skills before they're installed. With multi-format input capabilities, it can scan various sources such as Git repositories, URLs, zip files, and more. The tool features a two-stage analysis process, combining fast static analysis with optional LLM semantic evaluation for more accurate results.

Key features include:

* Detection of 64 vulnerability patterns across 16 categories, including prompt injection, data exfiltration, and privilege escalation
* Live vulnerability lookups using SC4 queries to OSV.dev for real-time CVE data
* Support for multiple output formats, including terminal, JSON, Markdown, and SARIF reports
* Risk scoring with a 0-100 score and severity labels for clear recommendations

To get started, simply clone the repository, create and activate a virtual environment, and install the required dependencies using make install or make install-dev. Then, use the skillspector scan command to scan your AI agent skills and identify potential security risks.

Main audience: Developers and users of AI agent skills, particularly those working with Claude Code, Codex CLI, Gemini CLI, and other AI-powered tools.

In short, SkillSpector is a powerful tool that helps you stay one step ahead of potential security threats in your AI agent skills - scan your skills, secure your AI.

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🧠 Channel: https://t.me/GithubRe

🔥 soxoj/maigret is trending — and it deserves your attention.

🔗 https://github.com/soxoj/maigret
📝 🕵️‍♂️ Collect a dossier on a person by username from 3000+ sites
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Maigret is a powerful tool that collects information on a person by username only, checking for accounts on over 3,000 sites. It gathers available information from web pages, extracts IDs, and performs recursive searches. No API keys are required.

Key features include support for 3,000+ sites, embeddable in Python projects, and extraction of information from profile pages and site APIs. It also performs recursive search using discovered usernames and other IDs, filters by tags, detects and bypasses blocks, and works with Tor and I2P websites.

Usage is simple: install with pip install maigret and run with maigret YOUR_USERNAME. It's also available as a web interface and can be embedded in Python projects as a library.

The target audience includes professional OSINT and social-media analysis tools builders, as well as individuals looking to gather information on a person by username.

Technical highlights include an auto-updated site database, support for Tor and I2P websites, and the ability to check domains.

In short, Maigret is a fast and powerful tool for gathering information on a person by username only, making it a great choice for anyone looking to get started with OSINT. Get started with Maigret and uncover the power of open-source intelligence - your next investigation is just a username away.

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🧠 Channel: https://t.me/GithubRe

💡 x1xhlol/system-prompts-and-models-of-ai-tools just hit the trending charts — here's why it matters.

🔗 https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools
📝 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 repository on GitHub is a valuable collection of AI system prompts and models, designed to support developers and startups in the AI space. The repository is maintained by x1xhlol and has gained significant attention from the community, with a growing number of stars and forks.

To get started with the repository, users can simply clone the repository and explore the various prompts and models available. The repository also includes a README file with detailed instructions on how to use the repository and contribute to it.

Some of the key features of the repository include a wide range of AI system prompts and models, as well as a Discord community where users can connect with each other and get support. The repository also includes a security notice for AI startups, highlighting the importance of securing their data and systems.

From a technical perspective, the repository is well-organized and easy to navigate, with clear instructions and documentation. The code is written in a variety of programming languages, including Python and JavaScript.

The repository is suitable for a wide range of users, including developers, startups, and researchers. Whether you're looking to build an AI-powered application or simply want to learn more about AI system prompts and models, this repository is a great resource to explore.

In summary, the system-prompts-and-models-of-ai-tools repository is a valuable resource for anyone interested in AI, and its contributors are dedicated to making it the most comprehensive collection of AI system prompts and models available - star it and take your AI projects to the next level!

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🧠 Channel: https://t.me/GithubRe