💡 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.
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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.

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🧠 Channel: https://t.me/GithubRe

🚀 Meet openai/plugins: a gem from today's GitHub trending list.

🔗 https://github.com/openai/plugins
📝 OpenAI Plugins
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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!

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🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into maziyarpanahi/openmed — fresh off the trending list.

🔗 https://github.com/maziyarpanahi/openmed
📝 open-source healthcare ai
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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.

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🧠 Channel: https://t.me/GithubRe

🚀 Meet francescopace/espectre: a gem from today's GitHub trending list.

🔗 https://github.com/francescopace/espectre
📝 🛜 ESPectre 👻 - Motion detection system based on Wi-Fi spectre analysis (CSI), with Home Assistant integration.
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ESPectre is a motion detection system that uses Wi-Fi spectre analysis to detect movement without cameras or microphones. It works by analyzing the changes in Wi-Fi signals caused by movement, providing a total privacy solution. The system is based on an ESP32 device and can be integrated with Home Assistant for a seamless experience.

The key features of ESPectre include:
- No calibration required with the new ML detector
- Easy setup in just 10-15 minutes
- Low cost with a total cost of ~€10 for the ESP32 device
- No programming required with YAML configuration files

The system is suitable for a variety of use cases, including home security, elderly care, and smart automation. It can also be used to save energy by automatically turning off devices in empty rooms.

One of the main advantages of ESPectre is its ability to work through walls, making it a great solution for large homes or offices. The system is also highly customizable, with adjustable thresholds and sensitivity settings.

In terms of technical highlights, ESPectre uses a focused processing pipeline for motion detection, which includes gain lock, auto-calibration, and adaptive thresholding. The system also supports single or multiple sensors, making it easy to scale up or down depending on the specific use case.

Overall, ESPectre is a powerful and user-friendly motion detection system that provides a unique solution for those looking for a private and cost-effective way to detect movement.
One-liner takeaway: ESPectre revolutionizes motion detection with its privacy-focused and cost-effective Wi-Fi spectre analysis technology.

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🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into addyosmani/agent-skills — fresh off the trending list.

🔗 https://github.com/addyosmani/agent-skills
📝 Production-grade engineering skills for AI coding agents.
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Agent Skills is a GitHub repository that provides production-grade engineering skills for AI coding agents. These skills encode workflows, quality gates, and best practices that senior engineers use when building software, ensuring AI agents follow them consistently across every phase of development. The repository includes 7 slash commands that map to the development lifecycle, such as /spec, /plan, and /build, which activate the right skills automatically.

The pack includes 23 skills in total, covering various aspects of software development, including spec-driven-development, test-driven-development, code-review-and-quality, and security-and-hardening. Each skill is a structured workflow with steps, verification gates, and anti-rationalization tables.

To get started, users can install the skills using Claude Code, Cursor, Gemini CLI, or other methods. The skills are designed to work with any agent that accepts system prompts or instruction files.

Agent Skills is perfect for developers, engineers, and teams looking to improve their software development workflow and ensure high-quality code. With its comprehensive set of skills and easy installation process, it's an excellent resource for anyone looking to take their development skills to the next level.
The ultimate takeaway: Use Agent Skills to supercharge your coding workflow and write better code, faster!

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🧠 Channel: https://t.me/GithubRe

🔥 addyosmani/agent-skills is trending — and it deserves your attention.

🔗 https://github.com/addyosmani/agent-skills
📝 Production-grade engineering skills for AI coding agents.
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Agent Skills is a GitHub repository that provides production-grade engineering skills for AI coding agents. The repository includes 23 skills that cover various aspects of software development, from defining what to build to shipping code to production.

The skills are structured as workflows with steps, verification gates, and anti-rationalization tables. They can be activated using 7 slash commands that map to the development lifecycle, such as /spec, /plan, /build, /test, /review, /code-simplify, and /ship.

The repository also includes pre-configured specialist personas for targeted reviews, such as code reviewer, test engineer, and security auditor. Additionally, it provides quick-reference material, including testing patterns, security checklists, performance checklists, and accessibility checklists.

The skills can be used with various platforms, including Claude Code, Cursor, Gemini CLI, Windsurf, OpenCode, GitHub Copilot, and Kiro IDE & CLI.

Overall, Agent Skills provides a comprehensive set of skills and tools to help AI coding agents follow best practices and produce high-quality code.

The key takeaway: Empower your AI coding agents with Agent Skills to streamline your development workflow and improve code quality.

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🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: phuryn/pm-skills — let's break it down.

🔗 https://github.com/phuryn/pm-skills
📝 PM Skills Marketplace: 100+ agentic skills, commands, and plugins — from discovery to strategy, execution, launch, and growth.
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Check out the PM Skills Marketplace, an AI operating system designed to enhance product decisions. This innovative tool offers 68 PM skills and 42 chained workflows across 9 plugins, providing a comprehensive framework for product management.

The marketplace is designed for Claude Code and Cowork, with skills compatible with other AI assistants. To get started, simply type /discover for new ideas, /strategy for strategic clarity, or /write-prd for writing a PRD.

The PM Skills Marketplace gives you structure, encoding proven PM frameworks such as discovery, assumption mapping, prioritization, and strategy. This results in better product decisions, not just faster documents.

Key features include:
- Skills: the building blocks of the marketplace, giving Claude domain knowledge, analytical frameworks, or guided workflows for specific PM tasks.
- Commands: user-triggered workflows that chain one or more skills into an end-to-end process.
- Plugins: grouping related skills and commands into installable packages, covering PM domains such as discovery, strategy, and execution.

The marketplace is ideal for product managers, entrepreneurs, and AI enthusiasts looking to streamline their workflow and make informed product decisions.

To install, follow the simple steps outlined in the README, and get started with the Claude Cowork or Claude Code integration.

In short, the PM Skills Marketplace is a game-changer for product management, providing a structured approach to decision-making and workflow optimization.
Take your product management to the next level with the PM Skills Marketplace - it's not just a tool, it's a decision-making powerhouse.

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🧠 Channel: https://t.me/GithubRe

🎯 refactoringhq/tolaria landed on trending. Worth a proper look.

🔗 https://github.com/refactoringhq/tolaria
📝 Desktop app to manage markdown knowledge bases
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Tolaria is a desktop app for managing markdown knowledge bases. It's designed for operating second brains, personal knowledge, and company docs. The app is files-first, git-first, and offline-first, ensuring your data belongs to you, not the app.

Key features include:
- markdown files with YAML frontmatter
- git repositories for version history
- offline functionality with no cloud dependencies
- Support for AI agents like Claude Code and Codex CLI

To get started, you can install Tolaria via Homebrew or download the latest release. The app is open source and built with Tauri, React, and TypeScript.

One-liner takeaway: Tolaria is your personal knowledge base powerhouse, giving you complete control over your data and workflow.

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🧠 Channel: https://t.me/GithubRe