BIGWORDS.PAGE

ScreenTinker is an open-source, self-hosted digital signage CMS developed as a Node.js/Express application with a SQLite database and web-based management dashboard. It manages TVs, video walls, kiosks, and other displays across multiple locations, with playlists, slide editing, device groups, multi-zone layouts, video-wall synchronization, remote control, scheduling, display power windows, offline caching, proof-of-play analytics, and a documented REST API. Displays can run through the web player or native players for Android TV, Fire TV, Samsung Tizen, LG webOS, Raspberry Pi, Windows, ChromeOS, BrightSign, and other browser-capable devices. The system supports multi-tenant organizations and workspaces with role-based access, device authentication, content approval and version history, optional plugins, storage on local disk or S3-compatible and Azure Blob backends, and links between ScreenTinker servers through its Node Mesh feature. It can be self-hosted on Linux, macOS, or Windows with Node.js and bundled SQLite, or used through the hosted service at screentinker.com. The repository states that it is free and MIT licensed.

Bang Motion is an agent skill for building browser-based motion graphics such as product openers, promos, bumpers, channel intros, kinetic typography, lower thirds, and explainers. It produces a single index.html that plays in a browser and encodes anti-slide rules: scenes change through camera or world movement rather than section fades, subjects or shared worlds persist, motion occurs continuously, and text and numbers remain part of the scene. Its deterministic timeline makes each frame a pure function of time for exact scrubbing and frame-by-frame export, while a shared camera rig supports flowing-world and camera-through-collage modes. The skill includes five explainer starters—cartoon collage, visual journalism, white catalog, vintage sketch, and continuous action—along with configurable style briefs, background motion, surfaces, transitions, highlight shapes, voice-over re-timing, and optional Puppeteer and FFmpeg scripts for verification and MP4 export. It can be installed as a Claude Code plugin or copied into Claude Code, Codex CLI, Gemini CLI, Cursor, or another agent workflow; watching the output requires only a browser and internet connection. The repository is licensed under MIT.

ascii is a TypeScript library for adding animated ASCII art to web pages. It provides pieces including scenes, interface elements, charts, text effects, language logos, distribution logos, shapes, physics simulations, nature scenes, and generative patterns, rendered as text in a <pre> element or as colored graphics on a canvas. It supports React, Next.js, Astro, plain HTML through the <ascii-art> custom element, and direct TypeScript usage with its mount API. Pieces can be bundled as modules or loaded by name; options control frame rate and piece-specific settings, while labels support screen readers and reduced-motion users see the first frame by default. The project also provides animated SVG versions of selected logos, companies, and distributions for use in GitHub READMEs. It is written by bas3line and distributed under the MIT license.

big-arrow-on-the-screen is a macOS command-line tool and agent skill for Claude Code and Codex that lets AI agents point at controls without clicking them. Its Swift binary places a click-through overlay above windows and displays a labeled arrow, ring, or box aimed at a target found by coordinates, window or tab, application element, mouse position, or Peekaboo data; the overlay can raise the target application, follow it, speak or provide copyable text, and remove itself after a duration, click, stop command, or agent-process exit. It does not type, click, capture the screen, or contain AI. The project is distributed as a Homebrew install or source-built macOS binary, includes commands for installing its agent skill, and is MIT licensed.

Page Agent is a JavaScript in-page GUI agent that lets users control web interfaces with natural-language instructions. It operates through text-based DOM manipulation inside the webpage, without requiring a browser extension, Python, screenshots, multimodal models, or a headless browser. It can be integrated with a script tag or installed from NPM, and supports bring-your-own LLM configurations, including locally deployed models. An optional Chrome extension supports multi-page tasks, while a beta MCP server allows external agent clients to control the browser. The project is distributed under the MIT License and is designed for client-side web enhancement rather than server-side automation.