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VideoDB ingests files, URLs, RTSP feeds, or desktop captures to build searchable visual and spoken indexes, edit timelines with overlays/subtitles, generate media, and emit realtime alerts for monitoring workflows.

Manim is a powerful Python library used for creating high-quality mathematical and scientific animations. This skill facilitates the generation of educational videos and complex visualizations for presentations. It is ideal for researchers, educators, or content creators who need to visualize complex concepts in an engaging animated format. Note: This specific file is related to localization/translation.

This guide teaches advanced search techniques for identifying specific video games. It emphasizes using highly discriminative technical details such as specific platforms (e.g., DOS, NES, PS4), distribution methods (shareware), game engines, era, and detailed review scores from niche sites. By combining multiple constraints (Platform + Era + Detail), users can dramatically narrow down search results, even locating specific developers or artists involved in the game's creation.

This comprehensive skill provides expert guidance for integrating with Google NotebookLM programmatically, covering both the `nlm` Command Line Interface (CLI) and Measurement/Control Plane (MCP) tools. Use it to automate workflows, manage notebooks, add diverse sources (URLs, YouTube, Drive), and generate various complex content types, such as reports, quizzes, mind maps, and videos. Essential for developers building upon NotebookLM's advanced research capabilities.

This guide helps researchers properly structure graphical and CAD papers submitted to academic journals. It details the separation of core, 'decisive' evidence (main results, key figures) that must reside in the main text, versus 'extensive' supplementary materials (videos, extra data, full derivations). It emphasizes maintaining the self-sufficiency of the main article while ensuring all necessary evidence is presented.

Search and retrieve Remotion documentation using Algolia API and Markdown URLs. Helps developers find accurate API references and implementation guides for video creation tasks without memorizing details. Supports workflow for discovering current docs and fetching source code.

Automatically extracts key frames from MP4 videos at configurable intervals, runs Tesseract OCR, and generates structured Markdown reports with video metadata and timestamped text transcripts. Ideal for creating searchable text from video presentations, lectures, or screencasts.

Fetch YouTube video transcripts, search videos/channels, browse channel uploads, and extract playlist data via the getyoutubetranscript.com REST API. No yt-dlp or Google API key required, with a free tier available.