⚡ ZhuLinsen/daily_stock_analysis is making waves. Here's the full picture.

🔗 https://github.com/ZhuLinsen/daily_stock_analysis
📝 LLM 驱动的多市场股票智能分析系统：多源行情、实时新闻、决策看板与自动推送，支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.
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Daily Stock Analysis is a powerful tool for stock market analysis, utilizing AI models to provide insights and recommendations. The project's primary goal is to assist investors in making informed decisions by analyzing various stocks and providing a decision dashboard with key information, such as buy/sell signals, risk alerts, and trend analysis.

The tool supports multiple markets, including A-share, Hong Kong, US, Japan, Korea, and Taiwan, and can handle various data sources, including free and paid APIs. It also features a web-based interface for easy configuration and monitoring.

To get started, users can fork the repository and configure the project using environment variables, or use the provided Docker image for a hassle-free deployment. The project also includes example configurations and a comprehensive guide to help users get up and running quickly.

Key Features:
- AI-powered stock analysis and recommendations
- Support for multiple markets and data sources
- Web-based interface for configuration and monitoring
- Customizable notification channels, including email, Telegram, and more
- Integrated agent for strategy queries and execution

Technical Highlights:
- Utilizes popular AI models, such as Anspire, AIHubMix, and OpenAI
- Supports multiple programming languages, including Python
- Features a modular design for easy extension and customization

The project is designed for investors, researchers, and anyone interested in stock market analysis. By leveraging the power of AI and machine learning, Daily Stock Analysis aims to provide accurate and reliable insights to help users make informed investment decisions.

Takeaway: With Daily Stock Analysis, investors can harness the power of AI to stay ahead of the market and make data-driven decisions with confidence.

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🧠 Channel: https://t.me/GithubRe

🌟 vitali87/code-graph-rag caught my eye on GitHub Trending today.

🔗 https://github.com/vitali87/code-graph-rag
📝 The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
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Code-Graph-RAG is a powerful tool that parses a multi-language codebase, builds a knowledge graph, and allows you to query, edit, and optimize the code in plain English. Key features include support for multiple languages, structural search and replace, data-flow tracing, and optimization against language best practices.

Usage is straightforward: point Code-Graph-RAG at a repository, and it extracts functions, classes, methods, and relationships, storing them as an interconnected graph. You can then ask questions about the codebase, retrieve source code, edit code through the agent, and optimize it.

From a technical perspective, Code-Graph-RAG uses Tree-sitter for parsing and Memgraph for the knowledge graph. The system has two components: a multi-language parser and an interactive CLI that turns natural language into Cypher queries.

This tool is designed for developers and organizations looking to streamline their code management and optimization processes. With Code-Graph-RAG, you can query and edit your codebase directly, making it an essential tool for any development team.

In short, Code-Graph-RAG is a game-changer for code management - it's like having a superpower for your codebase.

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🧠 Channel: https://t.me/GithubRe

🔥 anthropics/skills is trending — and it deserves your attention.

🔗 https://github.com/anthropics/skills
📝 Public repository for Agent Skills
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The anthropics/skills repository on GitHub is a treasure trove of skills for Claude, designed to enhance its performance on specialized tasks. These skills are essentially folders containing instructions, scripts, and resources that Claude can load dynamically. The repository includes a wide range of skills, from creative applications like art and music to technical tasks like testing web apps and enterprise workflows.

To get started with these skills, you can browse through the repository and explore the different folders, each containing a SKILL.md file with instructions and metadata. You can also use the template-skill as a starting point to create your own custom skills. The repository provides a spec folder with the Agent Skills specification and a template folder for skill templates.

The skills in this repository are easy to use and can be installed through Claude Code, Claude.ai, or the Claude API. For example, you can register the repository as a Claude Code Plugin marketplace and install specific skills like document-skills or example-skills. You can then use these skills by mentioning them in your commands, such as "Use the PDF skill to extract the form fields from path/to/some-file.pdf".

The anthropics/skills repository is a valuable resource for developers, partners, and anyone looking to improve Claude's capabilities. With its open-source and source-available skills, it's an excellent starting point for creating custom skills and exploring the possibilities of Agent Skills. So, why not dive in and start creating your own skills today - the possibilities are endless with Claude and the anthropics/skills repository!

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🧠 Channel: https://t.me/GithubRe

🚀 Meet 3b1b/manim: a gem from today's GitHub trending list.

🔗 https://github.com/3b1b/manim
📝 Animation engine for explanatory math videos
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Manim is a powerful animation engine designed for creating explanatory math videos. It allows for precise programmatic control over animations, making it perfect for educational content. The project has two versions: the original 3b1b/manim repository and the community-driven ManimCommunity/manim fork.

To get started with Manim, you can install it via pip using pip install manimgl. The engine requires FFmpeg, OpenGL, and optionally LaTeX for rendering mathematical equations. You can also install it on Linux, Windows, or Mac OSX by following the provided instructions.

Manim offers a range of features, including:
- Customizable animations and scenes
- Support for various input formats, such as Python scripts and LaTeX equations
- Options for rendering animations as videos or images

The project has an active community, with documentation available at 3b1b.github.io/manim and a Chinese version at docs.manim.org.cn. Contributions are welcome, and the project is licensed under the MIT license.

In short, Manim is a game-changer for creating engaging, math-focused animations - and the best part? It's free and open-source, empowering creators to bring complex concepts to life with ease!

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🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into HKUDS/DeepTutor — fresh off the trending list.

🔗 https://github.com/HKUDS/DeepTutor
📝 DeepTutor: Lifelong Personalized Tutoring.https://deeptutor.info/.
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Introducing DeepTutor, a lifelong personalized tutoring platform that aims to revolutionize the way we learn. With a wide range of features, DeepTutor provides a comprehensive learning experience, including Guided Learning, Knowledge Center, and Chat functionality.

The platform is built using Python 3.11+ and Next.js 16, and is designed to be highly customizable and extensible. Key features include support for multiple LLM providers, Document Parsing engines, and retrieval roles for queries.

Technical highlights include a LightRAG Server retrieval engine, a PyMuPDF4LLM parsing engine, and a FAISS vector backend for large knowledge-base retrieval.

Audience includes anyone looking for a personalized learning experience, from students to professionals. Get started with DeepTutor today and discover a new way to learn!

One-liner takeaway: DeepTutor is your personalized learning companion, empowering you to reach new heights with AI-driven insights and guidance.

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🧠 Channel: https://t.me/GithubRe