🎯 mvanhorn/last30days-skill landed on trending. Worth a proper look.

🔗 https://github.com/mvanhorn/last30days-skill
📝 AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
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The last30days-skill is an AI agent-led search engine that scores results based on upvotes, likes, and real money, giving you a brief on the latest information about a topic. Its key features include zero config, multi-source search, and AI agent synthesis. To use it, simply install the skill via Claud Code or other supported platforms, and run it with a topic, like /last30days Peter Steinberger.

From a technical perspective, the skill uses a Python pre-research brain to resolve topics and figure out where to search. It also features intelligent search, best takes, and cross-source cluster merging.

The target audience for this skill includes anyone looking for the latest information on a topic, such as researchers, salespeople, or simply individuals trying to stay up-to-date. Overall, the last30days-skill is a powerful tool for searching and synthesizing information from multiple sources, and its AI agent-led approach makes it a game-changer in the world of search engines. Get the truth about what's happening now, not what editors think you should know - that's the last30days-skill in a nutshell.

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📌 Spotted on GitHub Trending: soxoj/maigret — let's break it down.

🔗 https://github.com/soxoj/maigret
📝 🕵️‍♂️ Collect a dossier on a person by username from 3000+ sites
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Maigret is a powerful tool for collecting information about a person by their username, checking for accounts on over 3,000 sites and gathering available data from web pages. No API keys are required.

Key features include:
- support for 3,000+ sites,
- embeddable in Python projects,
- extraction of available information about account owners,
- recursive search using discovered usernames and IDs,
- filtering by tags,
- detection and bypassing of blocks, censorship, and CAPTCHA,
- and a web interface for browsing results and downloading reports.

Usage is straightforward:
- pip install maigret,
- then maigret YOUR_USERNAME.
- For advanced use, maigret can be used as a Python library for custom integrations.

Technical highlights include:
- async function calls for custom pipelines,
- filtering sites by tag,
- and a self-check feature for verifying usernameClaimed.

The primary audience is professionals in OSINT and social-media analysis, as well as anyone looking to gather information about a person by their username.

In short, Maigret is a powerful, user-friendly tool for gathering information about a person by their username - just pip install maigret and get started!

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🧠 Channel: https://t.iss.one/GithubRe

📌 Spotted on GitHub Trending: x1xhlol/system-prompts-and-models-of-ai-tools — let's break it down.

🔗 https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools
📝 FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models
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The system-prompts-and-models-of-ai-tools GitHub repository is a comprehensive collection of AI system prompts and models, designed to help developers and startups build and secure their AI systems. The repository is maintained by x1xhlol and is supported by various sponsors.

Key features include a large collection of AI system prompts and models, as well as resources for securing AI systems, such as ZeroLeaks, a service designed to help startups identify and secure prompt injection and system prompt extraction risks.

To get started, users can explore the repository, open an issue for feedback, or star the repository to show support. The repository is suitable for AI startups, developers, and researchers looking to build and secure their AI systems.

Technically, the repository provides

examples and code snippets

in various programming languages, making it easy for developers to integrate the prompts and models into their own projects.

Overall, the system-prompts-and-models-of-ai-tools repository is a valuable resource for anyone working with AI systems, and by supporting the project, you're contributing to the development of more secure and efficient AI systems - so why not drop a star and join the community today!

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🧠 Channel: https://t.iss.one/GithubRe

⚡ obra/superpowers is making waves. Here's the full picture.

🔗 https://github.com/obra/superpowers
📝 An agentic skills framework & software development methodology that works.
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Superpowers is a software development methodology for coding agents, built on a set of composable skills and initial instructions. It's designed to help agents use these skills to develop software efficiently.

Key features include a test-driven-development workflow, systematic-debugging, and collaboration tools like brainstorming and writing-plans.

To use Superpowers, simply install it via the official plugin marketplaces for your coding agent, such as Claude Code or Codex CLI.

From a technical standpoint, Superpowers uses a skills library with a range of skills, including testing, debugging, and collaboration tools.

Audience includes developers who want to improve their coding agent's efficiency and productivity.

In short, Superpowers is a powerful tool for coding agents - and with it, you can build better software, faster.

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🧠 Channel: https://t.iss.one/GithubRe

🚀 Meet masterking32/MasterDnsVPN: a gem from today's GitHub trending list.

🔗 https://github.com/masterking32/MasterDnsVPN
📝 Advanced DNS tunneling VPN for censorship bypass, optimized beyond DNSTT and SlipStream with low-overhead ARQ, resolver load balancing, high packet-loss stability and speed.
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README not available for this repository.

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🧠 Channel: https://t.iss.one/GithubRe

🌟 harry0703/MoneyPrinterTurbo caught my eye on GitHub Trending today.

🔗 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 automated scripts, subtitles, and background music. It supports multiple video sizes, including 9:16 and 16:9, and allows for batch video generation. The tool features a user-friendly web interface and API interface, making it easy to use for both beginners and advanced users.

The key features of MoneyPrinterTurbo include:

- MVC architecture for easy maintenance and scalability
- Support for AI-generated video scripts and custom scripts
- Batch video generation and video clip duration setting
- Support for multiple languages, including Chinese and English
- Subtitle generation with adjustable font, position, color, and size
- Background music support with random or specified music files

From a technical perspective, MoneyPrinterTurbo uses a range of technologies, including Python, Streamlit, and MoviePy. It also supports multiple LLM providers, such as OpenAI and AIHubMix.

To get started with MoneyPrinterTurbo, users can follow the quick start guide or refer to the installation and deployment instructions. The tool is suitable for a wide range of users, from individuals to businesses, and can be used for various purposes, such as video marketing, education, and entertainment.

In summary, MoneyPrinterTurbo is a powerful and versatile tool for generating high-quality videos with ease. With its user-friendly interface, advanced features, and technical capabilities, it is an ideal solution for anyone looking to create engaging videos. Give it a try and see the magic for yourself!

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🧠 Channel: https://t.iss.one/GithubRe

🌟 maziyarpanahi/openmed caught my eye on GitHub Trending today.

🔗 https://github.com/maziyarpanahi/openmed
📝 open-source healthcare ai
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The OpenMed GitHub repository offers a local-first healthcare AI solution that enables users to turn clinical text into structured insight with just one line of code. This openmed library provides entity extraction, PII de-identification, and over 1,000 specialized medical models that run entirely on the user's device, ensuring no cloud, no vendor lock-in, and no patient data leaving the network. It supports 12 languages and 247 PII checkpoints, making it a comprehensive tool for healthcare professionals.

With openmed, users can easily integrate the library into their Python applications or use the OpenMedKit for native Swift apps on iPhone, powered by Apple MLX. The library is free, open-source, and Apache-2.0 licensed, providing 100% on-device processing and no vendor lock-in.

Key features include specialized medical models, HIPAA-aware de-identification, and Apple Silicon (MLX) acceleration. OpenMed can be used by healthcare professionals, researchers, and developers looking for a secure and efficient way to analyze clinical text.

To get started, users can simply pip install openmed and begin using the library in their applications. With its one-line deployment and zero lock-in, OpenMed is an attractive solution for those seeking a local-first healthcare AI solution.

Takeaway: OpenMed brings the power of AI to healthcare, locally and securely, with just one line of code.

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🧠 Channel: https://t.iss.one/GithubRe