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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 📝 754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0 ────────────────────────────── The Anthropic Cybersecurity Skills GitHub repository is a game-changer for AI agents, providing them with the security skills of a senior analyst. This open-source skills library contains 754 production-grade cybersecurity skills across 26 security domains, mapped to 5 industry frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, MITRE D3FEND, and NIST AI RMF. To get started, simply clone the repository or use npx skills add mukul975/Anthropic-Cybersecurity-Skills. The repository includes a quick start guide and is compatible with various AI platforms, such as Claude Code, GitHub Copilot, and OpenAI Codex CLI. The skills are structured to provide AI agents with the knowledge they need to perform complex security tasks, including threat hunting, incident response, and digital forensics. Each skill is designed to be AI-native, with a consistent directory structure and YAML frontmatter for easy discovery. The target audience for this repository includes security professionals, developers, and enterprise teams looking to leverage AI agents in their security operations. In a nutshell, the Anthropic Cybersecurity Skills repository gives AI agents the security smarts they need to close the cybersecurity workforce gap — and that's a skill worth acquiring. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet anthropics/knowledge-work-plugins: a gem from today's GitHub trending list. 🔗 https://github.com/anthropics/knowledge-work-plugins 📝 Open source repository of plugins primarily intended for knowledge workers to use in Claude Cowork ────────────────────────────── The anthropics/knowledge-work-plugins GitHub repository offers a collection of plugins designed to enhance the capabilities of Claude, a tool used for various tasks such as sales, customer support, and product management. These plugins are built to work with Claude Cowork and Claude Code, allowing users to customize their experience and integrate with other tools. The repository includes 11 plugins, each with its own set of features and connectors to external tools. For example, the sales plugin can help with prospect research, call preparation, and pipeline review, while the customer-support plugin can assist with ticket triage and response drafting. To get started, users can install the plugins directly from Claude Cowork or use the command line with claude plugin install. Once installed, the plugins activate automatically, and users can access their features through slash commands. The plugins are structured to include skills, commands, and connectors, making it easy for users to customize and extend their functionality. The repository also provides a cowork-plugin-management plugin, which allows users to create and manage their own plugins. The target audience for these plugins includes professionals in various roles, such as sales, customer support, and product management, who can benefit from the automated workflows and integrations provided by the plugins. One-liner takeaway: With the anthropics/knowledge-work-plugins, you can turn Claude into a specialized assistant tailored to your specific role and workflow, streamlining your tasks and boosting productivity. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ rohitg00/ai-engineering-from-scratch is making waves. Here's the full picture. 🔗 https://github.com/rohitg00/ai-engineering-from-scratch 📝 Learn it. Build it. Ship it for others. ────────────────────────────── The rohitg00/ai-engineering-from-scratch GitHub repository offers a comprehensive curriculum for learning AI engineering from the ground up. It covers 20 phases and 435 lessons, with a focus on building reusable artifacts such as prompts, skills, agents, and MCP servers. The curriculum is designed to be language-agnostic, with implementations in Python, TypeScript, Rust, and Julia. Each lesson follows a six-beat structure: read the problem, derive the math, write the code, run the test, keep the artifact, and ship it. The repository includes a web version of the curriculum, allowing users to start reading any lesson without setup or cloning. The curriculum assumes basic coding skills but no prior knowledge of AI. It's suitable for those who want to understand how AI works and build their own AI systems from scratch. With a MIT license and open-source code, this repository provides a valuable resource for anyone looking to dive into AI engineering. To get started, you can read any lesson on the website, clone and run the code, or use the built-in /find-your-level skill to determine your starting point. In short, the rohitg00/ai-engineering-from-scratch repository is a comprehensive guide to building AI systems from scratch, and by the end of it, you'll have a portfolio of 435 reusable artifacts that you can apply to real-world problems. Build it, don't just learn it. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🌟 affaan-m/ECC caught my eye on GitHub Trending today. 🔗 https://github.com/affaan-m/ECC 📝 The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond. ────────────────────────────── The ECC (Efficient Configuration Companion) is an open-source, harness-native operator system designed for agentic work, developed by the winner of an Anthropic hackathon. This project has gained significant attention with 182K+ stars, 28K+ forks, and 170+ contributors. The ECC system provides a comprehensive framework for building and managing agents, including skills, instincts, memory optimization, continuous learning, security scanning, and research-first development. It supports multiple language ecosystems, such as Python, Java, Go, and JavaScript, and is compatible with various AI agent harnesses like Claude Code, Codex, and OpenCode. One of the key features of ECC is its ability to provide production-ready agents and skills, which can be used to automate various tasks and workflows. The system also includes a range of tools and features for managing and optimizing agent performance, such as hook runtime controls and session summaries. To get started with ECC, users can follow the provided guides, including the Shorthand Guide, Longform Guide, and Security Guide, which cover topics such as setup, foundations, philosophy, token optimization, and security. The project also has a dashboard GUI for easy management and monitoring of agents and skills. The ECC system is designed to be extensible and customizable, with a range of APIs and interfaces for integrating with other tools and systems. The project is actively maintained, with new features and updates being added regularly. Overall, the ECC project is a powerful and flexible framework for building and managing AI agents, with a wide range of features and tools for automating and optimizing workflows. With its active community and extensive documentation, ECC is a great choice for developers and organizations looking to leverage the power of AI agents. Takeaway: ECC is the ultimate game-changer for AI agent management - boost your productivity and automate your workflows with ECC today! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into Lum1104/Understand-Anything — fresh off the trending list. 🔗 https://github.com/Lum1104/Understand-Anything 📝 Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more. ────────────────────────────── The Understand Anything GitHub repository is a game-changer for developers and teams. Its primary purpose is to turn any codebase, knowledge base, or documentation into an interactive knowledge graph that can be explored, searched, and questioned. This innovative tool works with various platforms, including Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more. The Understand Anything tool offers several key features, such as: - Exploring structural graphs to navigate codebases - Understanding business logic through domain views - Analyzing knowledge bases to extract entities and relationships - Guided tours and fuzzy search for easier navigation - Diff impact analysis to track changes - Persona-adaptive UI for personalized experiences Usage is straightforward: install the plugin, analyze the codebase, and explore the dashboard. The install.sh script simplifies installation across multiple platforms. From a technical standpoint, Understand Anything leverages a Tree-sitter + LLM hybrid approach, combining static analysis and LLMs for optimal results. This approach enables deterministic parsing and semantic analysis, providing a comprehensive understanding of the codebase. The target audience includes developers, teams, and organizations seeking to improve their understanding of complex codebases and knowledge bases. With Understand Anything, users can easily explore, search, and question their codebases, making it an invaluable tool for onboarding, PR reviews, and documentation. In summary, Understand Anything is a powerful tool that simplifies the process of understanding complex codebases and knowledge bases. Its innovative approach, ease of use, and wide platform support make it an essential tool for any developer or team. Try it out and discover a whole new way to understand your code! With Understand Anything, you'll never be lost in code again – just explore, search, and understand anything! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 garrytan/gstack is trending — and it deserves your attention. 🔗 https://github.com/garrytan/gstack 📝 Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA ────────────────────────────── gstack is an open-source software factory that helps you ship products faster and more efficiently. It's created by Garry Tan, President & CEO of Y Combinator, who has used it to ship 3 production services and 40+ features in just 60 days. gstack turns AI coding agents like Claude into a virtual engineering team, providing 23 specialist roles and 8 power tools to streamline your development process. The key features of gstack include: * /office-hours for product reframing and design doc creation * /plan-ceo-review for rethinking the problem and finding the 10-star product * /plan-eng-review for locking in architecture and data flow * /review for catching bugs and verifying fixes * /qa for testing and quality assurance gstack is designed for founders, CEOs, and technical leaders who want to ship products faster and more efficiently. It's also suitable for first-time Claude Code users and tech leads who want to improve their development process. To get started with gstack, simply install it using the provided setup instructions, then run the /office-hours command to begin your project. With gstack, you can ship products faster and more efficiently, and become more productive as a developer. The takeaway: with gstack, you can ship like a team of twenty, even if you're a solo developer. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 hardikpandya/stop-slop is trending — and it deserves your attention. 🔗 https://github.com/hardikpandya/stop-slop 📝 A skill file for removing AI tells from prose ────────────────────────────── The Stop Slop GitHub repository is all about helping you refine your writing by removing common AI tells from your prose. Its purpose is to teach large language models (LLMs) like Claude to identify and eliminate predictable patterns, phrases, and structures that make your writing sound less human. At its core, Stop Slop includes a set of rules and guidelines outlined in the SKILL.md file, along with reference materials that list phrases and structures to avoid. To use it, you can add the skill to your Claude Code, upload the necessary files to your project knowledge, or even make custom instructions by copying the core rules. The repository catches a range of issues, including banned phrases like throat-clearing openers and business jargon, as well as structural clichés like binary contrasts and passive voice. It also enforces sentence-level rules to ensure your writing is direct, varied, and engaging. From a technical standpoint, the repository is well-organized, with a clear directory structure and easy-to-follow instructions. The scoring system, which rates your writing on dimensions like directness, rhythm, and trust, is a useful tool for evaluating and improving your work. Whether you're a writer, developer, or simply someone looking to improve your writing skills, Stop Slop is a valuable resource. So why not give it a try and take your writing to the next level? Stop Slop is the secret sauce that will make your writing sound less like a robot and more like a human - use it and watch your words come alive. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🌟 Axorax/awesome-free-apps caught my eye on GitHub Trending today. 🔗 https://github.com/Axorax/awesome-free-apps 📝 Curated list of the best free apps for PC and mobile ────────────────────────────── The Axorax/awesome-free-apps GitHub repository is a comprehensive collection of free applications, covering a wide range of categories such as audio, browsers, communication, data management, and more. With over 1000+ free applications listed, this repository is a treasure trove for anyone looking for free software. Key features include filtering options for Windows, macOS, Linux, and open-source applications, as well as a mobile version and recommended only section. The repository is constantly updated and maintained by the community, with new additions and updates made regularly. From audio players like Foobar2000 and Audacious, to browsers like Brave and Firefox, there's something for everyone. The repository also includes communication tools like Discord and Telegram, as well as email clients like ThunderBird and eM Client. The repository is easy to navigate, with clear instructions on how to contribute and become a maintainer. Whether you're a developer, a student, or just someone looking for free software, this repository is a must-visit. The

takeaway

is clear: with Axorax/awesome-free-apps, you can discover, download, and enjoy a wide range of free applications, all in one place - empowering your digital life, for free! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: shiyu-coder/Kronos — let's break it down. 🔗 https://github.com/shiyu-coder/Kronos 📝 Kronos: A Foundation Model for the Language of Financial Markets ────────────────────────────── Kronos is the first open-source foundation model for financial candlesticks (K-lines), trained on data from over 45 global exchanges. It's a decoder-only model, pre-trained specifically for the "language" of financial markets, designed to handle the unique, high-noise characteristics of financial data. Key features include a novel two-stage framework, with a specialized tokenizer that quantizes continuous, multi-dimensional K-line data into hierarchical discrete tokens, and a large, autoregressive Transformer that serves as a unified model for diverse quantitative tasks. Usage is straightforward, with a KronosPredictor class that handles data preprocessing, normalization, prediction, and inverse normalization. The model can be fine-tuned on your own data, and there's a live demo available to visualize forecasting results. Technical highlights include a family of pre-trained models with varying capacities, and a predict_batch method that enables parallel prediction on multiple datasets simultaneously. The model is suitable for quantitative analysts, traders, and researchers who need to analyze and forecast financial markets. With Kronos, you can easily integrate financial forecasting into your workflow, and take advantage of its cutting-edge technology to make more informed investment decisions. Get ready to forecast with Kronos - the future of financial market analysis is here! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ moeru-ai/airi is making waves. Here's the full picture. 🔗 https://github.com/moeru-ai/airi 📝 💖🧸 Self hosted, you-owned Grok Companion, a container of souls of waifu, cyber livings to bring them into our worlds, wishing to achieve Neuro-sama's altitude. Capable of realtime voice chat, Minecraft, Factorio playing. Web / macOS / Windows supported. ────────────────────────────── Project AIRI is an open-source project that aims to re-create Neuro-sama, a virtual character that can interact with users in a more human-like way. The project's goal is to provide a digital companion that can play games, chat, and perform various tasks, making it a unique and engaging experience. Key features of Project AIRI include its use of modern web technologies such as WebGPU, WebAudio, and WebAssembly, allowing for a more immersive and interactive experience. The project also has a strong focus on community involvement, with a dedicated Discord server and a translation project on Crowdin. To get started with Project AIRI, users can download the latest release for their operating system or try it out in their web browser. The project also provides a list of devlogs that detail the latest updates and changes. From a technical standpoint, Project AIRI is built using a range of technologies, including Web Workers, WebSocket, and NVIDIA CUDA. The project's use of these technologies allows for a high level of performance and customization. The project is suitable for a wide range of users, including developers, gamers, and anyone interested in AI and virtual companions. Takeaway: With Project AIRI, you can have your own digital companion that can play games, chat, and interact with you in a more human-like way, anywhere and anytime. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe