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πŸ“Œ Spotted on GitHub Trending: Zackriya-Solutions/meetily β€” let's break it down.

πŸ”— https://github.com/Zackriya-Solutions/meetily
πŸ“ 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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Meetily is a privacy-first AI meeting assistant that runs entirely on your local machine, capturing and transcribing meetings in real-time without sending any data to the cloud. Its key features include local transcription, real-time transcription, and AI-powered summaries. Meetily supports multiple platforms, including macOS, Windows, and Linux, and is open-source and free to use.

To get started, you can download and install Meetily from the releases page, or build from source using the provided guides. Meetily also offers a PRO version with enhanced accuracy and advanced features for serious users and teams.

The system architecture is built with Tauri and uses a Rust-based backend and a Next.js frontend. Meetily is perfect for professionals and enterprises that need to maintain complete control over their sensitive information.

In short, Meetily gives you complete data sovereignty and advanced meeting intelligence without compromising on privacy, compliance, or control - and that's a meeting assistant that truly meets your needs.

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Github Top Repositories
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πŸ” Deep-diving into asgeirtj/system_prompts_leaks β€” fresh off the trending list.

πŸ”— https://github.com/asgeirtj/system_prompts_leaks
πŸ“ 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 asgeirtj/system_prompts_leaks GitHub repo is a treasure trove of system prompts for various AI chatbots, including Claude, ChatGPT, and Gemini. Its purpose is to document these prompts, making them accessible to everyone. The repo features a wide range of key features, including system prompts for different models and variants, such as Claude Fable 5, GPT-5.5, and Gemini 3.5 Flash.

To use the repo, simply navigate to the desired model or variant and click on the provided link to view its system prompt. The repo is constantly updated with new prompts, so be sure to check back regularly for the latest additions. From a technical standpoint, the repo is well-organized, with prompts categorized by model and variant, making it easy to find what you're looking for.

This repo is aimed at developers, researchers, and AI enthusiasts who want to understand how AI chatbots work and how they can be used in various applications. Whether you're looking to build your own AI chatbot or simply want to learn more about the technology, this repo is an invaluable resource.

In a nutshell, the asgeirtj/system_prompts_leaks repo is a must-visit destination for anyone interested in AI chatbots and their system prompts. So, dive in and start exploring – you never know what you might discover! Unleash the power of AI chatbots with system prompts at your fingertips!

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πŸ” Deep-diving into harvard-edge/cs249r_book β€” fresh off the trending list.

πŸ”— https://github.com/harvard-edge/cs249r_book
πŸ“ Machine Learning Systems
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The harvard-edge/cs249r_book GitHub repository is a comprehensive resource for learning machine learning systems engineering. Its purpose is to bridge the gap between building AI systems and engineering them to be efficient, reliable, safe, and robust. The key features include a two-volume textbook, TinyTorch for building ML frameworks from scratch, hardware kits for deploying ML to devices, and MLSysΒ·im for simulating infrastructure.

To use this resource, students can start by reading the textbook and trying out labs, then move on to building TinyTorch and using MLSysΒ·im. Instructors can use the provided course map, slides, and assessment guides. The technical highlights include a curriculum map that connects all components and a growing community of contributors.

The intended audience is students, self-learners, and instructors looking to master ML systems. By following the learning loop of Read β†’ Explore β†’ Build β†’ Model β†’ Deploy β†’ Practice β†’ Teach, learners will gain a deep understanding of machine learning and systems engineering.

Ultimately, this repository teaches you to think at the intersection of machine learning and systems engineering, making you a proficient AI engineer - learn to build intelligent systems that work in the real world, not just in isolation.

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πŸ’‘ rommapp/romm just hit the trending charts β€” here's why it matters.

πŸ”— https://github.com/rommapp/romm
πŸ“ A beautiful, powerful, self-hosted rom manager and player.
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Romm is a self-hosted ROM manager and player that lets you scan, enrich, browse, and play your game collection with a clean interface. It supports multiple platforms, naming schemes, and custom tags. Key features include metadata fetching from IGDB, Screenscraper, and MobyGames, custom artwork from SteamGridDB, and achievements from Retroachievements. You can play games directly from the browser using EmulatorJS and RuffleRS, and share your library with friends.

The rommapp/romm GitHub repository provides a Quick Start Guide for easy installation and troubleshooting steps. The project is open for contributions, and there's a community-driven Discord channel for discussions and support. For technical highlights, Romm uses a web-based interface and supports various platforms, including desktop and mobile devices.

Audience for Romm includes gamers, collectors, and emulator enthusiasts who want to manage and play their game collections easily. With its extensive features and community support, Romm is a must-have for anyone who plays on emulators.
Takeaway: Romm is the ultimate self-hosted ROM manager and player that simplifies your gaming experience!

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πŸ”₯ ogulcancelik/herdr is trending β€” and it deserves your attention.

πŸ”— https://github.com/ogulcancelik/herdr
πŸ“ agent multiplexer that lives in your terminal.
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Herdr is a terminal-based tool that allows you to run multiple coding agents in a single terminal window, giving you a clear overview of which agents are blocked, working, or done. With herdr, each agent gets its own real terminal, not an app's imitation, so even full-screen TUIs render correctly. You can click, drag, and split panes into workspaces and tabs, and watch each agent's status update in real-time.

Key Features:
- A real terminal per agent
- Agent state at a glance
- Workspaces, tabs, and panes
- Nothing dies on detach, so you can close your laptop and reattach from another terminal or your phone over SSH
- Runs anywhere, with a single ~10MB Rust binary

Technical Highlights:
- Built with Rust for performance and reliability
- Works on Linux, macOS, and Windows (beta)
- No dependencies or GUI required
- Scriptable with a local socket API and CLI

Audience:
- Developers who work with multiple coding agents
- Teams that need to collaborate on coding projects
- Anyone looking for a lightweight, flexible, and powerful terminal-based tool

To get started, simply run curl -fsSL https://herdr.dev/install.sh | sh to install, then type herdr to launch. With herdr, you can streamline your workflow and take your productivity to the next level: one terminal to rule them all.

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πŸ”₯ dotnet/skills is trending β€” and it deserves your attention.

πŸ”— https://github.com/dotnet/skills
πŸ“ Repository for skills to assist AI coding agents with .NET and C#
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The dotnet/skills GitHub repository is a treasure trove of curated skills and custom agents for coding agents, specifically designed for the .NET ecosystem. At its core, this repository provides a standardized framework for developers to leverage a wide range of .NET skills, from C# language server integration to Entity Framework and performance investigations.

Key features include a range of plugins such as dotnet, dotnet-advanced, and dotnet-data, each catering to specific .NET development needs. To get started, users can install these plugins via the Copilot CLI or VS Code, and even explore them through the Cursor plugin marketplace or Codex CLI.

From a technical standpoint, the repository supports the agentskills.io open standard, ensuring compatibility with OpenAI Codex and other platforms. The code is well-organized, with each plugin following a standardized structure, making it easier for developers to contribute and add new plugins.

The primary audience for this repository includes .NET developers, architects, and anyone interested in leveraging AI and ML capabilities within their .NET projects. Whether you're looking to improve code quality, optimize performance, or explore new .NET features, the dotnet/skills repository has something for everyone.

In a nutshell, the dotnet/skills repository is all about amplifying developer productivity with AI-driven .NET skills - supercharge your coding experience today!

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πŸ“Œ Spotted on GitHub Trending: agentskills/agentskills β€” let's break it down.

πŸ”— https://github.com/agentskills/agentskills
πŸ“ Specification and documentation for Agent Skills
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The agentskills/agentskills repository provides a standardized way to extend AI agent capabilities with specialized knowledge and workflows. At its core, an Agent Skill is a folder containing a SKILL.md file with metadata and instructions that tell an agent how to perform a specific task.

Key features of Agent Skills include:
- Domain expertise: Capture specialized knowledge as reusable instructions and resources.
- Repeatable workflows: Turn multi-step tasks into consistent, auditable procedures.
- Cross-product reuse: Build a skill once and use it across any skills-compatible agent.

To use Agent Skills, agents load them through progressive disclosure in three stages: Discovery, Activation, and Execution. This approach allows agents to keep many skills on hand with only a small context footprint.

The repository is suitable for developers and users of AI tools and agentic clients, with resources available for getting started, including documentation, specification, example skills, and a Discord community.

Technical highlights of the repository include its open development, open standard, and permissive licensing under Apache 2.0 and CC-BY-4.0.

Here's an example of what a skill directory might look like:
my-skill/
β”œβ”€β”€ SKILL.md # Required: metadata + instructions
β”œβ”€β”€ scripts/ # Optional: executable code
β”œβ”€β”€ references/ # Optional: documentation
β”œβ”€β”€ assets/ # Optional: templates, resources
└── ... # Any additional files or directories


One-liner takeaway: With Agent Skills, you can empower your AI agents with specialized knowledge and workflows, making them more capable and reliable in real-world applications.

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Github Top Repositories
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πŸ” Deep-diving into immich-app/immich β€” fresh off the trending list.

πŸ”— https://github.com/immich-app/immich
πŸ“ High performance self-hosted photo and video management solution.
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Introducing Immich, a high-performance, self-hosted photo and video management solution. Key features include uploading and viewing videos and photos, auto backup, selective album backup, and multi-user support. The app is available for both mobile and web platforms, with features like scrubbable scrollbar, metadata view, and search by metadata.

Technical highlights include OAuth support, API keys, and virtual scroll. The app is designed for individuals and families who want to manage their photos and videos in a secure and private way.

To get started, check out the official website for documentation and installation guides.

Immich is built with contributors from all over the world, and you can join the community to contribute to the project.

Take control of your photos and videos - host them yourself with Immich, because your memories are worth it!

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πŸ’‘ chthollyphile/folia-major just hit the trending charts β€” here's why it matters.

πŸ”— https://github.com/chthollyphile/folia-major
πŸ“ δΈ“ζ³¨δΊŽη»šδΈ½ηš„ζ­Œθ―εŠ¨η”»ζ•ˆζžœηš„ζœ¬εœ°ιŸ³δΉ/navidrome/η¬¬δΈ‰ζ–Ήη½‘ζ˜“δΊ‘ζ’­ζ”Ύε™¨
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Folia is an immersive online music player that offers a unique listening experience with its full-screen lyrics display and AI-generated theme colors. The project supports various music sources, including NetEase Cloud Music, Navidrome, and local music libraries. Key features include intelligent lyrics matching, LRC file recognition, and multiple full-screen lyrics animations.

To get started, users can choose from desktop or web versions, with options for one-click deployment to Vercel. The project is built using Node.js and offers a responsive layout that adapts to different window sizes.

Folia is designed for music enthusiasts who want to elevate their listening experience. Whether you're a developer looking to contribute or a music lover seeking a new way to enjoy your favorite songs, Folia has something to offer. With its easy-to-use interface and customizable themes, Folia is the perfect choice for anyone looking to take their music experience to the next level. Get ready to immerse yourself in the world of music with Folia - where lyrics come alive!

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πŸ’‘ mattpocock/skills just hit the trending charts β€” here's why it matters.

πŸ”— https://github.com/mattpocock/skills
πŸ“ Skills for Real Engineers. Straight from my .claude directory.
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The mattpocock/skills GitHub repository is a collection of skills designed to help real engineers work effectively with coding agents. The skills are small, easy to adapt, and composable, allowing users to pick and choose the ones that best fit their needs.

To get started, users can run the skills.sh installer and follow the quickstart guide. The skills are divided into two categories: engineering and productivity.

The engineering skills include tools for tasks such as grilling, triage, and code review, while the productivity skills include tools for tasks such as handoffs and teaching.

Some key features of the skills include the ability to grill-me and grill-with-docs, which help users align with the agent and build a shared language.

The skills also include tools for debugging, such as diagnosing-bugs, and for improving codebase architecture, such as improve-codebase-architecture.

The repository is designed for real engineers who want to work effectively with coding agents, and the skills are based on decades of engineering experience.

In short, the mattpocock/skills repository is a powerful tool for anyone looking to improve their workflow and work more effectively with coding agents - and with these skills, you'll be coding like a pro in no time!

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