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开源项目

🔥 mukul975 / Anthropic-Cybersecurity-Skills - 754 structured cybersecurity skills for AI agents · Mapped t

GitHub热门项目 | 754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0 | Stars: 10,997 | 886 stars today | 语言: Python

2026-05-28 原文 →
开源项目

XGroundControlStation

This is a submission for the GitHub Finish-Up-A-Thon Challenge What I Built XGroundControl Station is a professional Ground Control Station (GCS) application built specifically for macOS, designed to provide full control over UAV systems. The project started as an attempt to create a more optimized, native experience for drone control on Mac devices, focusing on performance, usability, and precision. The application allows users to connect to flight controllers, monitor real-time telemetry, perform calibration, test motors, and configure flight parameters in a seamless and efficient workflow. For me, this project represents a step toward building a complete UAV ecosystem, including both hardware and software solutions. Demo You can explore the project and its features through the following: GitHub Repository: https://www.github.com/agaafar7/xgroundcontrolstation.git The Comeback Story Before this challenge, the project was partially implemented with core communication and UI components in place, but it lacked refinement, stability, and several critical features. During the Finish-Up-A-Thon, I focused on completing missing functionalities, improving the communication layer with flight controllers, optimizing performance on macOS, and polishing the UI for a smoother user experience. I also worked on fixing bugs, enhancing telemetry handling, and ensuring reliable real-time interaction with the system. My Experience with GitHub Copilot GitHub Copilot played a significant role in accelerating development, especially when working with complex logic such as telemetry parsing, communication handling, and structuring reusable components. It helped reduce development time by suggesting boilerplate code, assisting with debugging, and providing quick iterations when experimenting with different implementations. Overall, it allowed me to stay focused on architecture and system design rather than repetitive coding tasks.

2026-05-28 原文 →
AI 资讯

Closiq Discord Agent: An AI Customer Support Monolith 🚀

This is a submission for the GitHub Finish-Up-A-Thon Challenge What I Built I built the Closiq Discord Agent , a full-stack modular monolith engineered to transform a Discord channel into an automated, AI-driven customer support inbox and lead management system. When a customer messages your Discord support channel, the backend captures the conversation, handles data persistence, and fetches highly relevant context from a self-hosted Qdrant vector database (which indexes knowledge base documents stored in MinIO). It then leverages OpenRouter or OpenAI-compatible models to dynamically draft and deliver accurate, context-aware responses right back to the customer via a Discord bot. Demo GitHub Repository: ErOr-0/closiq-discord-bot Local Web Dashboard: http://localhost:5173 (Tip: Insert a GIF or a couple of screenshots here showing off your React dashboard interface, your MongoDB message log view, or the Discord bot replying live in a channel!) Tech Stack At A Glance Frontend: React + Vite Backend: Node.js + Express + TypeScript Databases & Storage: MongoDB (Metadata), Qdrant (Vector Embeddings), and MinIO (Object Storage) Integrations: discord.js & OpenRouter / OpenAI SDK The Comeback Story This project started as an ambitious idea but quickly stalled out. Before dusting it off for this challenge, it was just a loose collection of database models, basic tools, and a primitive, unoptimized LangChain loop sitting in a graveyard of unfinished local folders. It completely lacked a front-end management layer, and the architecture was fragile. To bring this project to life and cross the finish line, I focused heavily on stability, user experience, and structural boundaries: Modular Monolith Refactoring: Reorganized the entire Express backend into strict, clean module boundaries ( messages , knowledgebase , agent , infrastructure ) to make the codebase highly maintainable. Built the Web Dashboard: Created a comprehensive React interface from scratch so users can visually mon

2026-05-28 原文 →