Github Top Repositories
Photo
🌟 yikart/AiToEarn caught my eye on GitHub Trending today.
🔗 https://github.com/yikart/AiToEarn
📝 Let's use AI to Earn!
──────────────────────────────
AiToEarn is an innovative platform that empowers individuals and businesses to monetize, publish, engage, and create content across multiple platforms. With its AI Agent automation, it simplifies the process of building, distributing, and earning from content on various social media channels, including TikTok, YouTube, Facebook, and more.
The platform offers
Key features include content creation, publishing, and engagement agents, as well as support for multiple platforms and languages. The platform is suitable for one-person companies, creators, and businesses looking to streamline their content marketing efforts.
From a technical standpoint, AiToEarn is built using Node.js 20.18.x and offers a range of tools and integrations for customization and extension.
In summary, AiToEarn is a powerful tool for anyone looking to simplify their content marketing workflow and turn their creativity into cash:
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/yikart/AiToEarn
📝 Let's use AI to Earn!
──────────────────────────────
AiToEarn is an innovative platform that empowers individuals and businesses to monetize, publish, engage, and create content across multiple platforms. With its AI Agent automation, it simplifies the process of building, distributing, and earning from content on various social media channels, including TikTok, YouTube, Facebook, and more.
The platform offers
five usage methods: web, OpenClaw, Claude/Cursor, Docker, and source code development. To get started, users can obtain an API Key by registering and logging in to the website. Key features include content creation, publishing, and engagement agents, as well as support for multiple platforms and languages. The platform is suitable for one-person companies, creators, and businesses looking to streamline their content marketing efforts.
From a technical standpoint, AiToEarn is built using Node.js 20.18.x and offers a range of tools and integrations for customization and extension.
In summary, AiToEarn is a powerful tool for anyone looking to simplify their content marketing workflow and turn their creativity into cash:
create, publish, engage, and earn with AiToEarn - the ultimate content monetization platform!──────────────────────────────
🧠 Channel: https://t.me/GithubRe
Github Top Repositories
Photo
🚀 Meet phuryn/pm-skills: a gem from today's GitHub trending list.
🔗 https://github.com/phuryn/pm-skills
📝 PM Skills Marketplace: 100+ agentic skills, commands, and plugins — from discovery to strategy, execution, launch, and growth.
──────────────────────────────
The PM Skills Marketplace is an AI operating system designed to help product managers make better decisions. It offers 68 PM skills and 42 chained workflows across 9 plugins, covering the entire product development process from discovery to strategy, execution, launch, growth, and shipping AI-built code.
The marketplace is compatible with
One of the key features of the PM Skills Marketplace is its ability to provide structure and proven PM frameworks, such as those from Teresa Torres, Marty Cagan, and Alberto Savoia. This helps product managers to make better decisions and create more effective product strategies.
From a technical perspective, the marketplace is built using a modular architecture, with each plugin grouping related skills and commands into installable packages. The skills are loaded automatically when relevant to the conversation, and can be invoked using specific commands or by describing the steps in plain language.
The PM Skills Marketplace is designed for product managers, entrepreneurs, and anyone involved in product development. Whether you're looking to improve your product strategy, streamline your execution, or simply make better decisions, the PM Skills Marketplace has something to offer.
In short, the PM Skills Marketplace is a powerful tool that can help you supercharge your product decisions with AI-driven workflows.
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/phuryn/pm-skills
📝 PM Skills Marketplace: 100+ agentic skills, commands, and plugins — from discovery to strategy, execution, launch, and growth.
──────────────────────────────
The PM Skills Marketplace is an AI operating system designed to help product managers make better decisions. It offers 68 PM skills and 42 chained workflows across 9 plugins, covering the entire product development process from discovery to strategy, execution, launch, growth, and shipping AI-built code.
The marketplace is compatible with
Claude Code and Cowork, and its skills can also be used with other AI assistants. To get started, you can use commands like /discover, /strategy, or /write-prd to invoke specific workflows.One of the key features of the PM Skills Marketplace is its ability to provide structure and proven PM frameworks, such as those from Teresa Torres, Marty Cagan, and Alberto Savoia. This helps product managers to make better decisions and create more effective product strategies.
From a technical perspective, the marketplace is built using a modular architecture, with each plugin grouping related skills and commands into installable packages. The skills are loaded automatically when relevant to the conversation, and can be invoked using specific commands or by describing the steps in plain language.
The PM Skills Marketplace is designed for product managers, entrepreneurs, and anyone involved in product development. Whether you're looking to improve your product strategy, streamline your execution, or simply make better decisions, the PM Skills Marketplace has something to offer.
In short, the PM Skills Marketplace is a powerful tool that can help you supercharge your product decisions with AI-driven workflows.
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
Github Top Repositories
Photo
💡 santifer/career-ops just hit the trending charts — here's why it matters.
🔗 https://github.com/santifer/career-ops
📝 AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing.
──────────────────────────────
Career-Ops is an open-source, AI-powered job search command center that turns any AI coding CLI into a full-fledged career management system. It helps candidates choose companies by evaluating job listings, generating tailored CVs, scanning portals, and tracking applications.
The system features a
To get started, users can run
Career-Ops is perfect for candidates who want to take control of their job search and make informed decisions. With its AI-powered evaluation and recommendation features, it helps users find the best job opportunities and increase their chances of landing their dream role.
The system is built with technologies like
In short, Career-Ops is a game-changer for job seekers, and its AI-powered approach helps them find the few offers worth their time out of hundreds - your time is valuable, and so is the recruiter's.
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/santifer/career-ops
📝 AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing.
──────────────────────────────
Career-Ops is an open-source, AI-powered job search command center that turns any AI coding CLI into a full-fledged career management system. It helps candidates choose companies by evaluating job listings, generating tailored CVs, scanning portals, and tracking applications.
The system features a
6-Block Evaluation process, Interview Story Bank, Negotiation Scripts, and ATS PDF Generation. It also includes a Portal Scanner for 45+ pre-configured companies and custom queries, as well as Batch Processing for parallel evaluation.To get started, users can run
npx @santifer/career-ops init or clone the repository and install dependencies. The system is designed to be customized by Claude itself and supports Gemini CLI integration.Career-Ops is perfect for candidates who want to take control of their job search and make informed decisions. With its AI-powered evaluation and recommendation features, it helps users find the best job opportunities and increase their chances of landing their dream role.
The system is built with technologies like
Claude Code, OpenCode, Gemini CLI, Codex, and Node.js. It's available in multiple languages and has a MIT license.In short, Career-Ops is a game-changer for job seekers, and its AI-powered approach helps them find the few offers worth their time out of hundreds - your time is valuable, and so is the recruiter's.
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
❤1
🚀 Meet openai/plugins: a gem from today's GitHub trending list.
🔗 https://github.com/openai/plugins
📝 OpenAI Plugins
──────────────────────────────
The openai/plugins repository is a collection of curated Codex plugin examples to help you get started with building your own plugins. Each plugin has its own directory with a required
The repository includes richer examples such as plugins for Figma, Notion, and building iOS, macOS, and web apps. These examples showcase how to use Codex for tasks like design system rules, planning, and deployment.
If you're interested in building your own plugins or integrating Codex with other tools, this repository is a great resource. Whether you're a developer looking to automate tasks or a team looking to streamline workflows, the openai/plugins repository has something for you.
One-liner takeaway: Dive into the openai/plugins repository to unlock a world of Codex plugin possibilities and supercharge your development workflow!
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/openai/plugins
📝 OpenAI Plugins
──────────────────────────────
The openai/plugins repository is a collection of curated Codex plugin examples to help you get started with building your own plugins. Each plugin has its own directory with a required
plugin.json manifest file and optional companion files like skills/, agents/, and assets/. The repository includes richer examples such as plugins for Figma, Notion, and building iOS, macOS, and web apps. These examples showcase how to use Codex for tasks like design system rules, planning, and deployment.
If you're interested in building your own plugins or integrating Codex with other tools, this repository is a great resource. Whether you're a developer looking to automate tasks or a team looking to streamline workflows, the openai/plugins repository has something for you.
One-liner takeaway: Dive into the openai/plugins repository to unlock a world of Codex plugin possibilities and supercharge your development workflow!
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
Github Top Repositories
Photo
🔍 Deep-diving into maziyarpanahi/openmed — fresh off the trending list.
🔗 https://github.com/maziyarpanahi/openmed
📝 open-source healthcare ai
──────────────────────────────
OpenMed is a local-first healthcare AI that analyzes clinical text entirely on your device, with no cloud, no vendor lock-in, and no patient data leaving your network. It features
To use OpenMed, simply
OpenMed also supports Apple Silicon (MLX) acceleration, native iOS/macOS apps via OpenMedKit, and Swift integration. It's designed for clinical text analysis, PII detection, and de-identification, making it perfect for healthcare professionals, researchers, and developers.
In a nutshell, OpenMed is the perfect solution for secure, private, and efficient clinical text analysis — your data, your device, your control.
──────────────────────────────
🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/maziyarpanahi/openmed
📝 open-source healthcare ai
──────────────────────────────
OpenMed is a local-first healthcare AI that analyzes clinical text entirely on your device, with no cloud, no vendor lock-in, and no patient data leaving your network. It features
1,000+ specialized medical models, 12 languages, and 247 PII checkpoints, all running 100% on-device with Apache-2.0 licensing. To use OpenMed, simply
pip install openmed and call analyze_text() with your clinical text and a chosen model name. For example:from openmed import analyze_text
result = analyze_text("Patient started on imatinib for chronic myeloid leukemia.", model_name="disease_detection_superclinical")
OpenMed also supports Apple Silicon (MLX) acceleration, native iOS/macOS apps via OpenMedKit, and Swift integration. It's designed for clinical text analysis, PII detection, and de-identification, making it perfect for healthcare professionals, researchers, and developers.
In a nutshell, OpenMed is the perfect solution for secure, private, and efficient clinical text analysis — your data, your device, your control.
──────────────────────────────
🧠 Channel: https://t.me/GithubRe