This repository, named 'AI Short' (ChatGPT-Shortcut), is a production-grade Docusaurus-based web application that serves as a curated, multilingual library of over 5,000 AI prompts for ChatGPT, Gemini, Claude, and similar tools. The application provides a searchable, tag-filterable interface with prompt cards, copy-with-tracking, and detailed pages featuring FAQs and related prompts. It supports 18 languages via separate Docusaurus builds and includes a browser extension (Chrome/Firefox) for quick access. Beyond the static prompt data, it offers a community platform with user accounts (OAuth), favorites, custom prompt creation, voting, comments, and a level system. The frontend is a React 19 SPA with Ant Design 6, featuring client-side caching, optimistic UI updates, and lazy-loaded components. The backend (Strapi) is not open-sourced but the API contracts are fully defined. Deployment options include standard (shared backend), offline (localStorage), and full self-hosted setups. The code demonstrates strong engineering practices: clean component decomposition, custom hooks for data management, a two-tier cache system with ETag support, and thoughtful accessibility patterns. The prompt data itself is static JSON, generated from a master file via a Python pipeline, and includes rich metadata for SEO and cross-referencing.
This repository is the Front End Interview Handbook, a comprehensive collection of front-end interview questions and answers covering HTML, CSS, JavaScript, system design, behavioral topics, and company-specific experiences. It is built as a static documentation site using Docusaurus 3, with a custom theme that includes sidebar advertisements and a modified table of contents. The site supports 10 languages through i18n and is deployed at frontendinterviewhandbook.com. While primarily a content repository, it demonstrates solid software engineering practices in its Docusaurus configuration, custom theme components, and multilingual setup. The content is curated from the h5bp/Front-end-Developer-Interview-Questions repository and community contributions, with references to authoritative sources. The repository also includes blog posts and success stories. It is not a traditional application or data pipeline but a hybrid of a documentation site and a curated knowledge base.
This repository is a Docusaurus v3+ plugin that provides offline/local search functionality. It operates in two phases: at build time, it parses the generated HTML pages (docs, blog, static pages) using cheerio, extracts text and metadata, and builds Lunr.js search indexes per documentation version/language. At runtime, it serves a React-based search bar using @algolia/autocomplete-js that fetches the pre-built index JSON and performs client-side searches with Lunr. The plugin supports multiple languages, documentation versions, i18n, and configurable boosting of title/content/tags. It is a well-engineered monorepo with a single plugin package and an example Docusaurus site for testing. The code is TypeScript, has unit and e2e tests, and follows modern development practices (pnpm workspaces, Turborepo, conventional commits).
This repository is the LLM Inference Handbook, a comprehensive technical documentation site built with Docusaurus. It serves as an educational resource for engineers building, optimizing, and deploying LLM inference systems. The site covers inference fundamentals, model preparation, interaction patterns, optimization techniques (batching, KV cache, prefix caching, speculative decoding), kernel optimization (FlashAttention, GPU architecture), and infrastructure operations. It includes interactive React components such as GPU memory calculators, KV cache simulators, batching visualizers, and GPU execution visualizers that demonstrate concepts through live demos. The codebase is well-structured with TypeScript, CSS modules, a custom design system (DLS), and integration with Mantine UI. While primarily a documentation site, the interactive components are self-contained and could be extracted for reuse in other educational contexts. The handbook is framework-agnostic but has a strong emphasis on the Modular MAX ecosystem.
The repository serves as the official website and resource hub for the Noi desktop application. It contains the documentation site built with Docusaurus and Tailwind CSS, localization files for the application's UI, a prompt library for AI-assisted workflows, and example configuration files. While the core desktop application source is not present in this repository, the provided resources demonstrate good practices in internationalization, configuration-driven design, and prompt management. The documentation site is a well-crafted web application that effectively communicates the features and usage of the Noi desktop app.
This repository contains the official documentation website for the Remnawave proxy management panel. Built with Docusaurus 3.9.x and React 19, it generates a static site that provides installation guides, configuration references, tutorials, and API documentation. The site features a landing page with custom React components (hero section, stats bar, feature highlights, project grids, client cards) and multilingual help articles covering authentication methods, editor templates, and page configurations. A Caddy server serves the built output with routing for the landing page and documentation paths. The repository also includes an awesome-remnawave page indexing community tools (backup scripts, bots, monitoring tools) and a curated list of proxy clients with data-driven card displays. While the actual Remnawave panel backend is hosted separately, this documentation site is a well-structured, actively maintained resource that follows Docusaurus best practices with custom theming, dark mode, and analytics integration.