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Found 8 Skills
Use when the user has a video + an SRT and wants the subtitles either burned into the pixels (libass, always-visible) or soft-muxed as a togglable track. Also handles the final composite step for the localization pipeline — burn subs, mix a dub track, and keep the original audio as a low-volume bed, all in ONE ffmpeg encode (no cascade). Verifies libass availability and auto-downloads a static evermeet ffmpeg build when Homebrew's stripped binary lacks it. Triggers — "烧字幕", "硬字幕", "burn subtitles", "burn-in subs", "embed subtitle", "soft mux SRT", "把字幕烧进视频", "做最终合成".
Use when converting between caption formats (SRT, VTT, ASS, TTML, Gemini MD, etc.). Supports 30+ caption formats.
End-to-end workflow for automatically generating complete whiteboard animation videos from SRT subtitle files. It completes three phases in sequence: storyboard parsing, image generation, and video generation. It is triggered when the user provides an SRT file and requests to generate a whiteboard animation video, or says "generate whiteboard video from subtitles" or "whiteboard video workflow".
Generate chapter lists for Bilibili videos. Trigger scenarios: (1) Need to create Bilibili video chapters (2) User says "convert to Bilibili format", "generate chapters", "generate Bilibili chapters" (3) Need to generate video segments from subtitles (4) Process video progress bar segment markers
Alibaba Cloud IMS (Intelligent Media Services) based video translation Skill. Supports subtitle extraction (ASR/OCR), translation, and speech synthesis translation modes. Trigger words: "视频翻译", "translate video", "翻译视频", "字幕翻译", "video translation"
Complete subtitle and caption system for FFmpeg 7.1 LTS and 8.0.1 (latest stable, released 2025-11-20). PROACTIVELY activate for: (1) Burning subtitles (hardcoding SRT/ASS/VTT), (2) Adding soft subtitle tracks, (3) Extracting subtitles from video, (4) Subtitle format conversion, (5) Styled captions (font, color, outline, shadow), (6) Subtitle positioning and alignment, (7) CEA-608/708 closed captions, (8) Text overlays with drawtext, (9) Whisper AI automatic transcription (FFmpeg 8.0+ with VAD, multi-language, GPU), (10) Batch subtitle processing. Provides: Format reference tables, styling parameter guide, position alignment charts, Whisper model comparison, VAD configuration, dynamic text examples, accessibility best practices. Ensures: Professional captions with proper styling and accessibility compliance.
Add subtitles to edited voiceovers: Calculate post-editing timings directly using existing word-by-word transcripts and edit lists (no need to export or re-transcribe), correct misheard proper nouns using dictionaries and the author's script, split subtitles into screens by sentences, and review screen by screen in Studio. Use this when the user requests to create, add, revise, re-split subtitles, or when subtitles are incorrect. Do not use for word-deletion editing, physical cutting, storyboard animation, or final video rendering.
Transcribe a media file or live microphone to text or subtitles with auto-editor's whisper subcommand, then edit by spoken content — cut to keep (or drop) sections whose subtitles match a word or regex. Use when someone wants a transcript, captions, live speech transcription, or to cut a video based on what is said rather than on loudness.