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Found 10 Skills
Summarize a video by calling the VLM NIM or the Long Video Summarization (LVS) microservice directly. For short videos (under 60s) call the VLM's OpenAI-compatible chat completions endpoint; for long videos (60s or longer) call the LVS microservice. Use when asked to summarize a video, describe what happens in a video, analyze a recording, call or debug LVS summarize/model/health/recommended-config/metrics endpoints, or configure and troubleshoot the LVS service that backs long-video summarization.
This skill should be used when the user asks to "유튜브 정리", "영상 요약", "transcript 번역", "YouTube digest", "영상 퀴즈", or provides a YouTube URL for analysis. Extracts transcript, generates summary/insights/Korean translation, and tests comprehension with 9 quiz questions across 3 difficulty levels. Optional Deep Research for web-based follow-up.
Extract transcripts from YouTube videos and generate comprehensive, detailed summaries using intelligent analysis frameworks
Use to summarize a recorded video via the LVS summarization microservice (HITL-gated) with a VLM fallback. Not for report generation or live RTSP captioning.
Automatically fetch YouTube video transcripts, generate structured summaries, and send full transcripts to messaging platforms. Detects YouTube URLs and provides metadata, key insights, and downloadable transcripts.
Use to summarize a recorded video via the LVS summarization microservice (HITL-gated) with a VLM fallback. Not for live RTSP captioning or incident-range reports.
BibiGPT CLI for summarizing videos, audio, and podcasts directly in the terminal. Use when the user wants to summarize a URL (YouTube, Bilibili, podcast, etc.) or check their BibiGPT authentication status. Requires the BibiGPT desktop app installed with an active login session, or a BIBI_API_TOKEN environment variable set.
Watch, analyze, summarize, or answer questions about a video — a pasted link (YouTube, TikTok, Vimeo, Loom, X, Twitch, most sites) or a local video file (.mp4, .mov, .mkv, .webm, .avi). Use this whenever the user shares a video link or file and asks anything about its contents — what's in it, what happens, what's said, what's on screen, a summary, a transcript, or a specific moment — and whenever they say "watch this", "watch the video", "what's in this video", or similar, even if they never type /watch. Downloads with yt-dlp, extracts auto-scaled frames with ffmpeg, pulls the transcript from captions (or Whisper API fallback), and hands the result to Claude so it can answer questions about what's in the video. With a question, evidence mode retrieves only the relevant chapters, numeric facts, and on-screen moments instead of sampling the whole timeline.
Absorb the knowledge in YouTube videos — find them, transcribe them with ElevenLabs Scribe v2, inspect their visuals, and digest what they actually teach. Use this whenever someone wants a video's content as text or knowledge rather than just a link — "transcribe this YouTube video", "what does this video say", "summarize/explain this talk", "pull the transcript", "get subtitles", "turn this lecture into notes", or research-style asks like "find 10-20 videos about <topic> and tell me everything", "research <topic> on YouTube", "what are people saying about <X>". Also use it when a question needs what is shown on screen (slides, charts, code, UI, product) and not only what is said — it extracts frames and, as a last resort, asks Google Gemini to describe the video. Works on any yt-dlp-supported URL. Trigger it even when the words "transcribe" or "skill" never appear but the goal is to learn from video.
AI Video Notes skill for video content analysis and note generation. Extract key information from videos for learning, meetings, and content summarization. Use when user wants to analyze video content or generate notes from videos.