Github Top Repositories
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Github Top Repositories
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🚀 Meet HKUDS/DeepTutor: a gem from today's GitHub trending list.

🔗 https://github.com/HKUDS/DeepTutor
📝 DeepTutor: Lifelong Personalized Tutoring.https://deeptutor.info/.
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DeepTutor: Lifelong Personalized Tutoring is an innovative platform that offers a personalized learning experience. Its key features include a chat agent loop, multimodal image extraction, and support for multiple languages. To get started, simply visit the deeptutor.info website and follow the instructions. The platform is built using Python 3.11+ and Next.js 16, and is licensed under the Apache 2.0 license.

The platform is designed for students, educators, and researchers who want to create a personalized learning experience. It offers a range of technical highlights, including support for multiple AI models, a knowledge graph, and a customizable interface. The platform also has a strong community of contributors and users, who can be reached through Discord, Feishu, and WeChat.

Overall, DeepTutor is a powerful tool for anyone looking to create a personalized learning experience. With its user-friendly interface and advanced features, it's an ideal choice for anyone looking to take their learning to the next level. Get started with DeepTutor today and discover a new way of learning!

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

🔗 https://github.com/mattpocock/skills
📝 Skills for Real Engineers. Straight from my .claude directory.
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Unlock Efficient Software Development with the GitHub repo "mattpocock/skills". This collection of skills is designed to help real engineers develop applications efficiently, tackling common failure modes in software development.

The key features of this repo include grilling sessions to align with the agent, a shared language to reduce verbosity, and feedback loops to ensure the code works as expected.

To get started, simply run the skills.sh installer and pick the skills you want to use. You can also install the skills as a Claude Code plugin for a plug-and-play experience.

These skills are perfect for developers and engineers looking to streamline their workflow and develop high-quality applications. With mattpocock/skills, you can focus on writing great code and leave the tedious tasks to the agent.

In short, mattpocock/skills helps you build better software, faster.

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Github Top Repositories
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🚀 Meet github/copilot-sdk: a gem from today's GitHub trending list.

🔗 https://github.com/github/copilot-sdk
📝 Multi-platform SDK for integrating GitHub Copilot Agent into apps and services
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The Github Copilot SDK is a set of APIs that allow developers to embed Copilot's agentic workflows into their applications. The SDK exposes the same engine behind Copilot CLI, a production-tested agent runtime that can be invoked programmatically. With the SDK, developers can define agent behavior, and Copilot handles planning, tool invocation, file edits, and more.

The SDK is available for multiple programming languages, including Python, JavaScript (via TypeScript), Go, .NET, Java, and Rust. Each language has its own implementation, with documentation and example usage provided.

To get started, developers can install the SDK using package managers like npm or pip, and then import the SDK into their application. The SDK manages the Copilot CLI process lifecycle automatically, and developers can also connect to an external CLI server.

The SDK supports multiple authentication methods, including GitHub signed-in user, OAuth GitHub App, environment variables, and BYOK (Bring Your Own Key). It also allows developers to define custom agents, skills, and tools, and provides instructions and guidance for Copilot to speed up development.

Overall, the Github Copilot SDK provides a powerful and flexible way for developers to integrate Copilot's AI-powered coding capabilities into their applications. With the SDK, you can unlock the full potential of Copilot and take your development to the next level!

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💡 ibelick/ui-skills just hit the trending charts — here's why it matters.

🔗 https://github.com/ibelick/ui-skills
📝 Skills for Design Engineers
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The ui-skills GitHub repository is designed for Design Engineers, providing a set of skills to enhance their user interface (UI) capabilities. The key feature of this project is its ability to route agents through the right UI skill set for a specific task using the command npx ui-skills start.

The repository offers a range of commands, including:

npx ui-skills
npx ui-skills start
npx ui-skills categories
npx ui-skills list --category motion
npx ui-skills get baseline-ui


Technical highlights of this project include its command-line interface (CLI) and MIT license, making it accessible and easy to use. The ui-skills repository is perfect for design engineers and developers looking to improve their UI skills.

In a nutshell, ui-skills is your one-stop-shop for all UI needs - boost your design skills with just one command!

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Github Top Repositories
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Graphify-Labs/graphify is making waves. Here's the full picture.

🔗 https://github.com/Graphify-Labs/graphify
📝 AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph.
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Graphify is a powerful tool that helps you uncover hidden connections in your data. With its multimodal capabilities, you can drop in various file types such as code, PDFs, markdown, screenshots, diagrams, and images, and it will extract concepts and relationships from them to create a comprehensive knowledge graph.

To use graphify, simply type /graphify in Claude Code, followed by the directory you want to analyze. The output will include an interactive graph, Obsidian vault, Wikipedia-style articles, and a report highlighting key nodes, surprising connections, and suggested questions.

Some of the key technical highlights of graphify include its use of NetworkX, Leiden, tree-sitter, Claude, and vis.js. It also supports various file types, including code, documents, papers, and images, and provides features like auto-sync and git commit hooks.

Graphify is ideal for researchers, developers, and knowledge workers who want to gain insights from their data and discover new connections.

In a nutshell, graphify helps you turn chaos into clarity - try it out and uncover the hidden patterns in your data!

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📌 Spotted on GitHub Trending: codecrafters-io/build-your-own-x — let's break it down.

🔗 https://github.com/codecrafters-io/build-your-own-x
📝 Master programming by recreating your favorite technologies from scratch.
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The GitHub repository "codecrafters-io/build-your-own-x" is a collection of step-by-step guides for building various technologies from scratch. Key features include tutorials on creating a 3D renderer, AI model, augmented reality, BitTorrent client, blockchain, bot, command-line tool, database, and many more. Usage of this repository allows developers to gain hands-on experience and deepen their understanding of different technologies. Technical highlights include the use of various programming languages such as C++, Java, Python, and JavaScript. The repository is suitable for developers of all levels, from beginners to experienced professionals, looking to expand their skill set. With over 50 technologies to choose from, this repository is an excellent resource for anyone looking to learn and build something new. Build something from scratch and you'll understand it forever!

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🎯 ossu/computer-science landed on trending. Worth a proper look.

🔗 https://github.com/ossu/computer-science
📝 🎓 Path to a free self-taught education in Computer Science!
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The ossu/computer-science GitHub repository offers a free and well-structured computer science curriculum. Its purpose is to provide a complete education in computer science using online materials, covering topics from computation and imperative programming to discrete mathematics and software architecture. The curriculum is designed to be completed in about 2 years with a time commitment of roughly 20 hours/week. It's suitable for self-motivated individuals who want a proper, well-rounded grounding in computer science concepts. The community provides support through a Discord server and GitHub issues. To get started, simply explore the curriculum and begin with the Intro CS course. Remember, you can't purchase success, so be prepared to put in the effort to achieve your goals! Learn to code, and code to learn - the world of computer science awaits!

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🔥 codecrafters-io/build-your-own-x is trending — and it deserves your attention.

🔗 https://github.com/codecrafters-io/build-your-own-x
📝 Master programming by recreating your favorite technologies from scratch.
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The codecrafters-io/build-your-own-x repository offers a vast collection of step-by-step guides for re-creating popular technologies from scratch, including 3D renderers, AI models, blockchains, and more. With tutorials covering a wide range of programming languages, such as C++, Java, Python, and JavaScript, developers can choose their preferred language to build and learn. The repository provides a unique opportunity for hands-on learning, allowing users to gain a deeper understanding of complex technologies by building them from the ground up. Whether you're a beginner or an experienced developer, this repository has something for everyone. So, get ready to code and learn! Build your own technology from scratch and discover the power of hands-on learning: "What I cannot create, I do not understand" becomes your new motto.

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🌟 PostHog/posthog caught my eye on GitHub Trending today.

🔗 https://github.com/PostHog/posthog
📝 🦔 PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
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PostHog is an open-source platform for building self-driving products, providing a suite of tools to help you understand user behavior, diagnose issues, and optimize your product. With PostHog, you can capture product analytics, web analytics, session replays, feature flags, experiments, error tracking, logs, surveys, and more. The platform is free to use with a generous monthly free tier, and you can self-host it or use the cloud version.

Key features include:
- Self-driving mode: Turns signals in your product data into researched reports and pull requests.
- Product analytics: Autocapture or manually instrument event-based analytics.
- Web analytics: Monitor web traffic and user sessions with a GA-like dashboard.
- Session replays: Watch real user sessions to diagnose issues and understand user behavior.
- Feature flags: Safely roll out features to select users or cohorts.

You can get started by signing up for PostHog Cloud US or PostHog Cloud EU, or by self-hosting the open-source hobby deploy with
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/posthog/posthog/HEAD/bin/deploy-hobby)"
.

PostHog is ideal for product teams, developers, and anyone looking to build a successful product. With its robust feature set and generous free tier, PostHog is a game-changer for anyone looking to take their product to the next level. Try PostHog today and discover the power of self-driving products - it's like having a superpower for your product!

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🔍 Deep-diving into HenryNdubuaku/maths-cs-ai-compendium — fresh off the trending list.

🔗 https://github.com/HenryNdubuaku/maths-cs-ai-compendium
📝 Become a cracked AI/ML Research Engineer
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The Maths, CS & AI Compendium is an open, unconventional textbook covering maths, computing, and artificial intelligence from the ground up. It's written for curious practitioners looking to deeply understand the concepts, not just survive an exam or interview. The author, Henry Ndubuaku, shares his notes and experiences working in AI/ML, which helped his friends get into top companies like DeepMind and OpenAI.

The compendium includes an MCP server that lets any AI assistant use it as a knowledge base, along with tools for educational purposes and example implementations. It covers a wide range of topics, from vectors and matrices to machine learning and computer vision.

To get the most out of this resource, users can follow the author's suggested study technique, which involves cumulative reading, shadow reading, and implementing concepts in code. The compendium is suitable for anyone looking to deepen their understanding of maths, CS, and AI, and is available online at henryndubuaku.github.io/maths-cs-ai-compendium/.

One-liner takeaway: Unlock your full potential with the Maths, CS & AI Compendium, and trust the process to become a proficient AI researcher and engineer!

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