💡 Lum1104/Understand-Anything just hit the trending charts — here's why it matters.

🔗 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.
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The Understand Anything GitHub repository is an innovative tool that transforms any codebase, knowledge base, or documentation into an interactive knowledge graph. This graph can be explored, searched, and queried, making it easier to comprehend complex systems. The tool works with various platforms, including Claude Code, Codex, Copilot, and Gemini CLI.

Key features include:
- Guided Tours: auto-generated walkthroughs of the architecture
- Fuzzy & Semantic Search: find anything by name or meaning
- Diff Impact Analysis: see which parts of the system your changes affect
- Persona-Adaptive UI: the dashboard adjusts its detail level based on the user

To get started, simply install the plugin, analyze your codebase, and explore the interactive dashboard. The tool supports multiple languages and has a live demo available.

The Understand Anything tool is perfect for developers, project managers, and anyone looking to gain a deeper understanding of complex systems. With its interactive knowledge graph and intuitive interface, it's an invaluable resource for anyone seeking to turn any codebase into an interactive knowledge graph.
The tool is a game-changer for coding and knowledge management: it's not just a graph, it's a guide that teaches you how every piece fits together.

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🧠 Channel: https://t.me/GithubRe

🚀 Meet unclecode/crawl4ai: a gem from today's GitHub trending list.

🔗 https://github.com/unclecode/crawl4ai
📝 🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here:https://discord.gg/jP8KfhDhyN
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Crawl4AI is an open-source web crawler designed to turn the web into clean, LLM-ready Markdown. Its key features include fast and controllable crawling, adaptive intelligence to learn site patterns, and full control over sessions, proxies, and user scripts.

To use Crawl4AI, you can install it via pip:
pip install -U crawl4ai. Then, run a simple web crawl with Python:

import asyncio
from crawl4ai import *

async def main():
    async with AsyncWebCrawler() as crawler:
        result = await crawler.arun(
            url="https://www.nbcnews.com/business",
        )
        print(result.markdown)

if __name__ == "__main__":
    asyncio.run(main())

Crawl4AI is suitable for developers who need to extract data from websites and prepare it for large language models (LLMs). It's deployable anywhere, with zero keys required, and supports both CLI and Docker.
The project is community-driven, with a growing list of features, including Markdown generation, structured data extraction, and browser integration.
Crawl4AI is the perfect tool for anyone looking to build and own their data pipeline: Take control of your web data with Crawl4AI - the ultimate web crawler for developers.

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🧠 Channel: https://t.me/GithubRe

🌟 OpenMOSS/MOSS-TTS caught my eye on GitHub Trending today.

🔗 https://github.com/OpenMOSS/MOSS-TTS
📝 MOSS‑TTS Family is an open‑source speech and sound generation model family from MOSI.AI and the OpenMOSS team. It is designed for high‑fidelity, high‑expressiveness, and complex real‑world scenarios, covering stable long‑form speech, multi‑speaker dialogue, voice/character design, environmental sound effects, and real‑time streaming TTS.
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The MOSS-TTS Family is an open-source speech and sound generation model family designed for high-fidelity, high-expressiveness, and complex real-world scenarios. It covers stable long-form speech, multi-speaker dialogue, voice/character design, environmental sound effects, and real-time streaming TTS. The family includes MOSS-TTS, MOSS-TTSD, MOSS-VoiceGenerator, MOSS-TTS-Realtime, and MOSS-SoundEffect.

Key features include long-speech generation, fine-grained control, and multilingual synthesis. The models are available on Hugging Face, ModelScope, and GitHub, with demos and tutorials provided.

The MOSS-TTS Family is suitable for developers, researchers, and content creators looking for high-quality speech and sound generation capabilities.

Technical highlights include the use of MossTTSDelay and MossTTSLocal architectures, which provide a balance between production readiness and objective performance.

To get started, users can explore the Quickstart guide, which covers environment setup, basic usage, and fine-tuning.

One-liner takeaway: With the MOSS-TTS Family, you can generate high-quality speech and sound effects for various applications, from voice assistants to interactive experiences.

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🧠 Channel: https://t.me/GithubRe

💡 EveryInc/compound-engineering-plugin just hit the trending charts — here's why it matters. 📈

🔗 https://github.com/EveryInc/compound-engineering-plugin
📝 Official Compound Engineering plugin for Claude Code, Codex, Cursor, and more

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The compound-engineering-plugin is designed to make each unit of engineering work easier than the last. 🛠️ It inverts traditional development by focusing 80% on planning and review, and 20% on execution. The plugin provides 37 skills and 51 agents to help with tasks such as brainstorming, planning, coding, reviewing, and compounding knowledge. 🧠

To use the plugin, start by installing it using the following commands:

/plugin marketplace add EveryInc/compound-engineering-plugin
/plugin install compound-engineering

For other platforms like Codex, Copilot, or Qwen Code, use equivalent commands. Once installed, run the setup:

/ce-setup

Key features include:
* 🤔 /ce-brainstorm for interactive Q&A
* 📋 /ce-plan for turning ideas into implementation plans
* 🔄 /ce-compound for documenting learnings

The plugin is suitable for developers looking to streamline their workflow and improve productivity. 🚀

/ce-strategy, /ce-ideate, /ce-brainstorm, /ce-plan, /ce-work, /ce-debug, /ce-code-review, /ce-compound

These skills work together to create a cyclical workflow that sharpens plans, informs future plans, and catches issues.

💡 Takeaway: With the compound-engineering-plugin, each unit of work makes the next one easier, not harder.

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🧠 Channel: https://t.me/GithubRe

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

🔗 https://github.com/anthropics/skills
📝 Public repository for Agent Skills
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The anthropics/skills GitHub repository is a collection of skills for Claude, a dynamic AI system that can load these skills to improve performance on specialized tasks. These skills, which are essentially folders of instructions, scripts, and resources, teach Claude how to complete specific tasks in a repeatable way, such as creating documents, analyzing data, or automating personal tasks.

The repository contains a wide range of skills, from creative applications like art and music to technical tasks like testing web apps and MCP server generation. Each skill is self-contained in its own folder with a SKILL.md file containing the instructions and metadata that Claude uses.

To use these skills, you can register the repository as a Claude Code Plugin marketplace or use the Claude API. You can also create your own custom skills using a simple template provided in the repository. The template requires only two fields: name and description, and the markdown content contains the instructions, examples, and guidelines that Claude will follow.

The repository is a great resource for developers, partners, and anyone looking to improve Claude's performance on specific tasks. With its open-source and source-available skills, it provides a unique opportunity to learn from and contribute to the development of AI capabilities.

In a

nutshell

, the anthropics/skills repository is a powerful tool for teaching Claude new skills and improving its performance on specialized tasks - and the best part is, you can try it out and create your own skills today. Takeaway: Unlock Claude's full potential with skills.

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🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into harry0703/MoneyPrinterTurbo — fresh off the trending list.

🔗 https://github.com/harry0703/MoneyPrinterTurbo
📝 利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
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MoneyPrinterTurbo is a powerful tool that generates high-definition videos with AI-generated scripts, subtitles, and background music. Simply provide a topic or keyword, and the tool will create a short video.

Key Features:
- Supports MVC architecture for clear code structure and easy maintenance
- Offers AI-generated video scripts and customizable scripts
- Allows for batch video generation and adjustable video clip duration
- Supports multiple video sizes, including 9:16 and 16:9
- Includes subtitle generation with customizable font, position, color, and size

Technical Highlights:
- Built with Python and utilizes Streamlit for the web interface
- Supports GPU acceleration for faster video processing
- Compatible with various LLM providers, including OpenAI and Azure

Audience:
- Content creators looking for an efficient way to generate high-quality videos
- Marketers seeking to automate their video content creation process
- Anyone interested in exploring the potential of AI-generated video content

Usage:
- Users can access the tool through a web interface or API
- Simply provide a topic or keyword, and the tool will generate a short video
- Customize video settings, such as script, subtitles, and background music, to suit your needs

MoneyPrinterTurbo is an innovative tool that simplifies video content creation, making it easier for everyone to produce high-quality videos. With its user-friendly interface and robust features, it's an excellent choice for anyone looking to streamline their video creation process.
Take your video content creation to the next level with MoneyPrinterTurbo - automate your video production and focus on what matters.

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🧠 Channel: https://t.me/GithubRe

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⚡ twentyhq/twenty is making waves. Here's the full picture.

🔗 https://github.com/twentyhq/twenty
📝 The open alternative to Salesforce, designed for AI.
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The Twenty GitHub repository is an open-source CRM that provides building blocks for a custom customer relationship management system. Its key features include objects, views, workflows, and agents that can be extended as code. With Twenty, you can create a custom CRM that meets complex business needs and evolves quickly.

To get started, you can either sign up for a cloud workspace, build an app using the Twenty CLI, or self-host it on your own infrastructure. The npx create-twenty-app my-app command scaffolds a new app, and you can define objects, fields, and views as code using the twenty-sdk/define module.

The technical stack includes TypeScript, Nx, NestJS, PostgreSQL, Redis, and React. The project is actively maintained, and the community is encouraged to contribute through discussions, feature requests, and code contributions.

The best way to summarize Twenty is: Build your custom CRM, ship it like code, and version it like the rest of your stack - with Twenty, the possibilities are endless!

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🧠 Channel: https://t.me/GithubRe

🎯 anthropics/claude-code landed on trending. Worth a proper look.

🔗 https://github.com/anthropics/claude-code
📝 Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.
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Claude Code is a terminal-based coding tool that uses natural language commands to help you code faster by executing routine tasks and handling git workflows. Key features include understanding your codebase and explaining complex code. To get started, install it via the recommended methods, then navigate to your project directory and run claude.
The tool also includes plugins that extend its functionality with custom commands and agents.
For technical users, the code is available on GitHub, and the community can be reached on Discord for feedback and discussion.
Claude Code is suitable for developers of all levels looking to streamline their coding process.
One-liner takeaway: With Claude Code, you can claude your way to faster coding.

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🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: Leonxlnx/taste-skill — let's break it down.

🔗 https://github.com/Leonxlnx/taste-skill
📝 Taste-Skill - gives your AI good taste. stops the AI from generating boring, generic slop
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Taste Skill is an innovative GitHub repository designed to enhance the capabilities of AI agents in building premium frontends. The repo offers a range of portable agent skills that focus on improving layout, typography, motion, and spacing, resulting in more sophisticated and polished UIs.

Key features include adjustable dials for design variance, motion intensity, and visual density, allowing for customized outputs. The skills are framework-agnostic and compatible with major coding agents like Codex, Cursor, and Claude Code.

To get started, simply install the desired skill using npx skills add https://github.com/Leonxlnx/taste-skill, then use the installed skill in your agent conversations. For image-generation skills, pair them with ChatGPT Images or similar generators to produce design images.

The repo is suitable for developers and designers looking to elevate their frontend builds with AI-driven design skills. With its unique approach to anti-slop design and extensive research backing, Taste Skill is a valuable tool for anyone seeking to create high-end interfaces.

In a nutshell, Taste Skill is a game-changer for AI-powered frontend development - revolutionizing the way we design and build premium UIs, one skill at a time.

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🧠 Channel: https://t.me/GithubRe

🌟 cursor/plugins caught my eye on GitHub Trending today.

🔗 https://github.com/cursor/plugins
📝 Cursor plugin specification and official plugins
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The Cursor plugins repository offers a collection of official plugins for various developer tools, frameworks, and SaaS products. Each plugin is a standalone directory with its own manifest, making it easy to manage and maintain.

Key features include continual learning for incremental memory updates, thermos for deep security audits, and create-plugin for scaffolding new plugins.

To use these plugins, simply navigate to the desired plugin directory and follow the instructions in the README.md file.

From a technical standpoint, the repository uses a marketplace.json file to list all available plugins, and each plugin has its own plugin.json manifest.

These plugins are perfect for developers and dev teams looking to streamline their workflow and improve productivity.

In short, the Cursor plugins repository is a game-changer for development teams - it's like having a superpower in your coding toolkit.

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🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: run-llama/liteparse — let's break it down.

🔗 https://github.com/run-llama/liteparse
📝 A fast, helpful, and open-source document parser
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LiteParse is a fast and lightweight, open-source PDF parsing tool that delivers high-quality spatial text parsing with bounding boxes. It runs locally on your machine, without relying on proprietary features or cloud dependencies.

Key features of LiteParse include fast text parsing using PDFium, a flexible OCR system with built-in Tesseract and support for HTTP servers, screenshot generation, and multiple output formats like JSON and text. It also supports multi-language use from Rust, Node.js/TypeScript, Python, or the browser (WASM) and is multi-platform, compatible with Linux, macOS, and Windows.

To install LiteParse, you can use your preferred package manager. For example, you can install it via npm for Node.js/TypeScript, pip for Python, or cargo for Rust.

The CLI usage is straightforward. You can parse files using the lit parse command, generate screenshots with lit screenshot, and perform batch parsing with lit batch-parse.

Technical highlights include automatic conversion of various document formats to PDF before parsing, support for office documents via LibreOffice, and image formats via ImageMagick.

Audience: LiteParse is suitable for developers and users who need fast and accurate PDF parsing capabilities, especially those working with large volumes of documents or requiring precise text positioning information.

In summary, LiteParse is a powerful, user-friendly tool that provides fast and accurate PDF parsing, making it an excellent choice for anyone looking to extract valuable information from their documents - Parse your documents, unleash the power of your data.

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🧠 Channel: https://t.me/GithubRe