💡 ZhuLinsen/daily_stock_analysis just hit the trending charts — here's why it matters.

🔗 https://github.com/ZhuLinsen/daily_stock_analysis
📝 LLM驱动的 A/H/美股智能分析：多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送，零成本定时运行，纯白嫖. LLM-powered stock analysis system for A/H/US markets.
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The Daily Stock Analysis system is an AI-powered stock analysis platform that provides automated daily analysis and decision-making dashboards for A-share, Hong Kong share, and US share markets.

Key features include:
- AI decision reports with core conclusions, scores, trends, and risk alerts
- Multi-market data aggregation for stocks, ETFs, and market news
- Web and desktop workstations for manual analysis and configuration management
- Agent strategy inquiry for multi-round questioning and strategy validation

The system supports various AI models and data sources, including Anspire, AIHubMix, and SerpAPI.

To get started, users can fork the repository and configure secrets for AI models, notification channels, and stock lists. Then, they can enable GitHub Actions for automated daily analysis or run the system locally using Docker.

The target audience includes individual investors, researchers, and financial institutions seeking to leverage AI for stock market analysis.

In a nutshell, Daily Stock Analysis is your one-stop-shop for AI-driven stock market insights, automating the tedious process of data collection and analysis, so you can focus on making informed investment decisions.

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🧠 Channel: https://t.me/GithubRe

🔥 plausible/analytics is trending — and it deserves your attention.

🔗 https://github.com/plausible/analytics
📝 Open source, privacy-first web analytics. Lightweight, cookie-free Google Analytics alternative. Self-hosted or cloud.
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Plausible Analytics is a privacy-first web analytics tool that's lightweight and cookie-free. It offers a simple, fast dashboard and is GDPR, CCPA, PECR compliant. You can use it as a managed cloud service or self-host it. The project is open source and independent, funded by subscribers.

Key features include:
- Real-time insights
- Search insights integrated with Google Search Console
- API and integrations for custom workflows
- Define key goals and track conversions

Technical highlights:

Backend: Elixir + Phoenix
Databases: PostgreSQL, ClickHouse
Frontend: React + TailwindCSS

Plausible is for anyone looking for a private and simple web analytics solution. With its transparent business model, you pay for the service, not with your users' data.
One-liner takeaway: Plausible Analytics - private, simple, and transparent web analytics.

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🧠 Channel: https://t.me/GithubRe

🔥 tinyhumansai/openhuman is trending — and it deserves your attention.

🔗 https://github.com/tinyhumansai/openhuman
📝 Your Personal AI super intelligence. Private, Simple and extremely powerful.
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OpenHuman is your personal AI super intelligence, designed to integrate with you in your daily life. It's private, simple, and extremely powerful. With a clean desktop experience and short onboarding paths, you can get started in just a few clicks.

Key features include:
- 118+ third-party integrations with one-click OAuth
- A Memory Tree and Obsidian Wiki for a local-first knowledge base
- Batteries included: web search, web-fetch scraper, coder toolset, and native voice
- Smart token compression (TokenJuice) to reduce cost and latency

Technical highlights:
- Built with Rust, Node.js, and pnpm
- Uses Tauri and CEF for the desktop shell
- Includes git submodule update --init --recursive for vendored sources

The target audience is anyone looking for a personal AI assistant that's easy to use and integrates with their daily life.

In short, OpenHuman is the ultimate AI sidekick that gets to know you in minutes, not weeks - star the repo and experience the future of AI today!

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🧠 Channel: https://t.me/GithubRe

🌟 HKUDS/CLI-Anything caught my eye on GitHub Trending today.

🔗 https://github.com/HKUDS/CLI-Anything
📝 "CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub:https://clianything.cc/
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The CLI-Anything project is a game-changer for making software agent-native. Its purpose is to bridge the gap between AI agents and the world's software by creating a universal interface that allows agents to interact with any application. The key features include a CLI-Hub where you can browse, install, and manage community-built CLIs, as well as a pip install cli-anything-hub command to get started.

To use CLI-Anything, simply pip install cli-anything-hub and then cli-hub install <name> to install your desired CLI. You can also contribute your own CLI by opening a PR, and the hub will update instantly. The project has a strong focus on technical highlights such as structured and composable text commands, lightweight and universal design, and self-describing interfaces.

The project is perfect for developers and AI enthusiasts who want to make their software agent-native. With CLI-Anything, you can create a universal interface for your application, making it accessible to a wide range of AI agents. The project has a lot of potential for growth, with a strong community of contributors and a wide range of supported applications.

In summary, CLI-Anything is a powerful tool for making software agent-native, with a strong focus on community contribution and technical highlights. As the project says, "One command line to rule them all" - and with CLI-Anything, you can make any software agent-ready with just one command line. The takeaway: Make any software agent-native with one simple command line.

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🧠 Channel: https://t.me/GithubRe

🔥 Imbad0202/academic-research-skills is trending — and it deserves your attention.

🔗 https://github.com/Imbad0202/academic-research-skills
📝 Academic Research Skills for Claude Code: research → write → review → revise → finalize
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The Academic Research Skills repository on GitHub, created by Imbad0202, is a comprehensive suite of tools designed to facilitate academic research and paper writing. The primary purpose of this project is to provide a human-in-the-loop approach, where AI assists researchers in handling mundane tasks, allowing them to focus on high-level thinking and writing.

Key features of the repository include Deep Research, Academic Paper, and Academic Paper Reviewer modes, which cover various aspects of research, from literature reviews to paper writing and peer review. The ars-plan command enables users to engage in a Socratic dialogue to map out their paper structure.

To use the repository, users can install the plugin using the /plugin marketplace add Imbad0202/academic-research-skills and /plugin install academic-research-skills commands. The repository is suitable for academic researchers, students, and anyone looking to streamline their research and writing process.

The project's technical highlights include its integration with Claude Code, a 13-agent research team, and various quality gates to ensure the accuracy and validity of research findings. The repository also provides a

README

file with detailed instructions and examples for users to get started.

In summary, the Academic Research Skills repository is an invaluable resource for academic researchers, providing a comprehensive suite of tools to facilitate research and paper writing. By leveraging the power of AI, researchers can focus on high-level thinking and writing, while the tool handles the grunt work. The takeaway: AI-assisted research tools like Academic Research Skills are revolutionizing the way we conduct research, making it more efficient, accurate, and enjoyable.

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🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into obra/superpowers — fresh off the trending list.

🔗 https://github.com/obra/superpowers
📝 An agentic skills framework & software development methodology that works.
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Superpowers is a software development methodology that gives your coding agents a set of composable skills to build and create with ease. The key features of Superpowers include a step-by-step approach to coding, starting with brainstorming and ending with test-driven-development. The workflow is divided into six main stages: brainstorming, using-git-worktrees, writing-plans, subagent-driven-development, test-driven-development, and requesting-code-review.

To use Superpowers, you can install it via various coding agent marketplaces such as Claude Code, Codex CLI, and Gemini CLI. The technical highlights of Superpowers include a Skills Library with various skills such as testing, debugging, and collaboration.

Superpowers is designed for developers and coders who want to streamline their coding process and create high-quality code. With its systematic approach and emphasis on testing, Superpowers is perfect for those who want to take their coding to the next level.
The one-liner takeaway is: Superpowers gives your coding agents the skills they need to build and create with ease and precision.

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🧠 Channel: https://t.me/GithubRe

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🔍 Deep-diving into anthropics/claude-plugins-official — fresh off the trending list.

🔗 https://github.com/anthropics/claude-plugins-official
📝 Official, Anthropic-managed directory of high quality Claude Code Plugins.
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The anthropics/claude-plugins-official GitHub repository is a treasure trove for developers, offering a curated directory of high-quality plugins for Claude Code. With two main directories, /plugins for internal plugins developed by Anthropic and /external_plugins for third-party plugins from partners and the community, users can easily find and install plugins that suit their needs.

To get started, plugins can be installed directly from the marketplace via Claude Code's plugin system using the command /plugin install {plugin-name}@claude-plugins-official. For contributors, the repository provides a clear structure for developing and submitting new plugins, with guidelines for internal and external plugins.

Each plugin follows a standard structure, including a plugin.json file for metadata, and optional configurations for MCP servers, slash commands, agents, and skills.

The takeaway: With its vast array of plugins and straightforward installation process, the anthropics/claude-plugins-official repository is a game-changer for anyone looking to supercharge their Claude Code experience!

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🧠 Channel: https://t.me/GithubRe