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Daily GitHub Project Recommendation: Claude Code Templates - Your AI Development Superpower Launcher!

Today, we’re introducing a powerful tool that can revolutionize your AI development workflow: davila7/claude-code-templates. This CLI tool, designed specifically for Anthropic’s Claude Code, provides a complete set of plug-and-play configurations to help developers easily set up and monitor their AI coding assistants, making AI a true asset in your work!

Project Highlights

Claude Code Templates (aitmpl.com) is a comprehensive treasure trove of AI agents, custom commands, settings, hooks, and external integrations (MCPs). It aims to significantly boost your development efficiency and innovation capabilities, easily handling everything from configuring AI experts and automating repetitive tasks to seamlessly integrating with external services.

  • Massive Components, One-Click Deployment: No need to start from scratch; the project offers over 100 preset AI agents, commands, settings, hooks, and project templates. Whether it’s a “Security Auditor” AI agent or a “Generate Tests” custom command, you can easily find and install it.
  • Interactive Browsing, What You See Is What You Get: Through its intuitive aitmpl.com web interface, you can easily browse all available templates and install them with a simple click, greatly lowering the barrier to entry.
  • Multi-functional Auxiliary Tools: Beyond templates, it also includes powerful development tools. Claude Code Analytics allows you to monitor AI development sessions in real-time and understand performance metrics; Conversation Monitor provides a mobile-optimized real-time conversation viewing interface, even supporting secure remote access; Health Check ensures your Claude Code installation is always in optimal condition.
  • Dual Empowerment in Technology and Application: From a technical perspective, it standardizes the way Claude Code is extended and configured, simplifying complexity through structured templates. From an application perspective, it enables developers to quickly build AI assistants with specific expert capabilities, such as backend architects or React performance optimizers, allowing them to focus on more challenging work.

How to Get Started

Experience this AI development powerhouse now! With just a simple npx command, you can launch a complete development stack or selectively install the components you need.

# Browse and interactively install components
npx claude-code-templates@latest

# Or directly install the components you need, e.g., a frontend developer agent and a generate tests command
npx claude-code-templates@latest --agent frontend-developer --command generate-tests

Visit the project repository for more details: https://github.com/davila7/claude-code-templates

Call to Action

Claude Code Templates has already garnered 7490 stars, with an additional 304 stars today, proving its popularity and utility. If you’re using Anthropic’s Claude Code or are passionate about AI-assisted development, this project is definitely not to be missed! Explore its endless possibilities, contribute your ideas and templates, or simply give the project a ⭐ to help more people discover this treasure!

Daily GitHub Project Recommendation: EverShop - Build Modern E-commerce Experiences with TypeScript and React!

Today, we’re bringing you an open-source project shining brightly in the e-commerce space – EverShop! This is more than just an e-commerce platform; it’s a modern solution tailor-made for developers. With its unique TypeScript-first philosophy, combined with the power of GraphQL and React, EverShop is rapidly becoming the go-to choice for building customized online stores.

Project Highlights

EverShop’s most appealing aspects are its forward-thinking tech stack and highly customizable architecture. It doesn’t just offer a complete set of core e-commerce functionalities; it also emphasizes modularity and flexibility.

  • Technologically Advanced: EverShop is written in TypeScript, ensuring code quality and development efficiency; the backend provides powerful API interfaces via GraphQL, while the frontend is driven by React, offering a smooth user experience. For teams pursuing modern development, this is a perfect combination.
  • Highly Customizable: The project is designed with a modular architecture, allowing developers to easily create extensions and themes according to specific needs. Whether it’s a unique brand style or complex business logic, EverShop enables you to build a fully customized shopping experience with confidence and speed.
  • Out-of-the-Box Functionality: As an active project with over 7100 stars and 1800 forks, EverShop already includes essential e-commerce features. You can focus on business innovation without having to build the foundational infrastructure from scratch.

Technical Details / Use Cases

EverShop is particularly suitable for developers and businesses who desire full control and deep customization of their e-commerce platform. If you are looking for a high-performance, scalable, and easy-to-maintain e-commerce solution, and are familiar with the TypeScript, GraphQL, and React ecosystems, then EverShop is definitely worth trying. Its clear documentation and friendly community also provide strong support for development.

How to Get Started / Links

Want to experience the charm of EverShop firsthand? The project offers a minimalist Docker installation method, allowing you to launch a complete e-commerce environment in minutes. You can also quickly understand its frontend and backend functionalities through the official Demo.

Call to Action

If you’re passionate about building modern e-commerce platforms or are looking for a flexible and powerful solution, why not explore EverShop’s GitHub repository! Give it a ⭐ to show your support, participate in community discussions, or even submit your contributions to help this project grow!

Daily GitHub Project Recommendation: Qwen3-VL - Alibaba Tongyi Qianwen Series’ Strongest Multimodal Large Model, Seeing Through the World at a Glance!

Greetings AI enthusiasts, today we’re diving deep into an exciting GitHub project – QwenLM/Qwen3-VL! This is the latest masterpiece from Alibaba Cloud’s Tongyi Qianwen team, a series of multimodal large language models that have reached unprecedented heights in visual and language understanding. It can not only hear and speak, but also “see through” complex image and video content at a glance, achieving true multimodal intelligence!

Project Highlights

With its outstanding performance and powerful features, Qwen3-VL has already garnered 14119 Stars and 1074 Forks on GitHub, demonstrating its immense influence within the developer community. It is hailed as the most powerful visual language model in the Tongyi Qianwen series to date, bringing comprehensive upgrades:

  • Superb Visual Perception and Reasoning: Qwen3-VL can profoundly understand image and video content, from simple object recognition to complex situational reasoning, it can do it all. It can even perform advanced spatial awareness, judging object positions, perspectives, and occlusions, laying the foundation for 3D scene understanding and embodied AI.
  • Multimodal Agent: Imagine an AI capable of operating computer and mobile interfaces like a human, recognizing elements, understanding functionalities, calling tools, and completing tasks – Qwen3-VL’s “Visual Agent” feature makes this possible!
  • Innovative Visual Code Generation: Generate Draw.io/HTML/CSS/JS code directly from an image or video? This is an ability developers have long dreamt of, greatly enhancing efficiency and productivity.
  • Long Context and Video Understanding: Supports native 256K context, expandable to 1M, meaning it can process entire books or even hours-long videos, with second-level indexing capabilities, keeping every detail in grasp.
  • Exceptional Cross-Domain Performance: Whether it’s causal analysis and logical reasoning in Science, Technology, Engineering, and Mathematics (STEM/Math) fields, or recognition capabilities across broad domains like celebrities, anime, and products, Qwen3-VL performs exceptionally.
  • Powerful OCR and Text Understanding: Supports OCR for 32 languages, maintaining robust performance under complex conditions like low light, blur, and tilt. It can even better handle rare characters and specialized terminology, achieving text understanding capabilities comparable to pure text large models.

Technical Details and Use Cases

The Qwen3-VL model offers both Dense and MoE architectures, supporting flexible deployment from edge to cloud. Its architectural innovations include Interleaved-MRoPE (enhancing long-sequence video reasoning through robust positional embeddings), DeepStack (fusing multi-layer ViT features to capture fine-grained details), and Text–Timestamp Alignment (enabling video temporal modeling). These technical innovations collectively underpin its powerful multimodal understanding capabilities.

It is suitable for scenarios requiring deep understanding of images and videos and complex interactions, such as intelligent assistants, automation software, content creation, security monitoring, and education, among other fields. You can easily integrate and use it via popular tools like the Hugging Face Transformers library, ModelScope, or vLLM.

How to Get Started / Links

Want to experience the power of Qwen3-VL firsthand? You can learn more and get started using the links below:

  • GitHub Repository: https://github.com/QwenLM/Qwen3-VL
  • Online Demo: A Demo is available on Hugging Face Space for you to try!
  • Cookbooks: The repository provides rich Cookbooks , covering various aspects like omni-recognition, document parsing, and video understanding, guiding you step-by-step to master Qwen3-VL.

Call to Action

Qwen3-VL is undoubtedly a milestone in the field of multimodal AI. If you are passionate about visual language models or are looking for a powerful tool to empower your next project, then Qwen3-VL is definitely worth exploring. Head over to GitHub, give it a star, join the community, and together witness the future of multimodal intelligence!