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Edit gameplay clips (Valorant, CS2, Fortnite, any shooter) into a music-synced highlight montage, frag movie, velocity edit or TikTok/Reels/Shorts "edit" with beat sync, slow motion, speed ramps, kill zooms, transitions, lyric words, cover image; also copy the editing of a reference video ("com a mesma edição desse vídeo"), or fix a rendered edit that stutters ("travado", "quedas de fps"), has choppy slow motion or kills off the beat. Portuguese - "edita um vídeo", "faz um montage", "highlight", "edit pro TikTok", "faz uma capa". Not for plain trimming, joining or converting clips (use ffmpeg).

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Separates audio tracks into individual stems (vocals, drums, bass, other) using Meta's Demucs neural network model via the demucs Python package. Supports batch processing of WAV and MP3 files, outputs isolated stems in FLAC or WAV format, and integrates with FFmpeg for format conversion and loudness matching post-separation.

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视频逆向复刻 — 分析参考视频(FFmpeg帧提取+Vision LLM) + 生成复刻Seedance 2.0 Prompt + 4种素材替换模式。支持单个和批量。Use when: '复刻这个视频', '分析爆款视频', 'replicate this video', '视频逆向', '反编译视频', '批量分析视频'. Do NOT use for creating from scratch — use fashion-video-creator instead.

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Skill dựng phim hoạt hình ngắn từ đầu đến cuối trên Muse AI: thu thập yêu cầu (thời lượng, ngôn ngữ, tỷ lệ khung hình), vẽ character sheets, chốt kịch bản story bible, keyframes, mega prompt từng cảnh, generate video, làm VO, dựng phim bằng ffmpeg. Tác giả: Đặng Hữu Sơn. Dùng khi user muốn làm phim hoạt hình ngắn từ con số 0 trên Muse AI.

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Render a deterministic 15-second vertical promo video from real Simulator screenshots with a three-beat viewer challenge and no Remotion initialization. Use in a twelve-minute parallel launch lane, as a reliable fallback to a richer Claude Design animation, or whenever ffmpeg and ImageMagick are available.

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Programmatic React video best practices for Remotion. Use this skill whenever the user is writing, debugging, or rendering Remotion code — compositions, useCurrentFrame animations, interpolate, spring, Sequence timing, <Img>/<Video>/<Audio> from @remotion/media, staticFile, calculateMetadata, the Studio preview, `npx remotion render`, captions, subtitles, voiceover, audio visualization, ffmpeg, transitions, light leaks, transparent video, Lottie, 3D scenes, Mapbox flyovers. Triggers especially on HtmlInCanvas / "html in canvas" requests, CRT terminal effects, glitch effects, video shaders, WebGL video, and any request to scaffold a new programmatic React video. Owns `remotion render` and everything about Remotion code. Do NOT trigger for finished MP4 ad assembly from existing slides (that is `/video-content`) or for the inspiration-to-MP4 reference-video pipeline (that is `/cmo-video`).

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Record product demos and walkthroughs for marketing assets. Two modes: quick screenshot-stitch demos via ply + ffmpeg, or polished Remotion compositions. Use when the user mentions product demo, demo video, walkthrough video, feature showcase, screen recording, GIF demo, product tour, onboarding video, visual tutorial, feature walkthrough, landing page video, hero video, product video, app preview video, or wants to show their product in action. Even if they just say 'show what it does', 'make a video of the app', 'I need a demo for my landing page', or 'record the app' — this is the skill. If someone has a working product and needs marketing assets that show it off, start here. Owns screen-recorded product demos and walkthroughs. For an AI-generated marketing or brand video with no real product footage, see /higgsfield-generate; for Remotion code and `remotion render` issues, see /remotion-best-practices; for stitching existing slides into an MP4, see /video-content.

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Make a short product film (website hero loop, landing section, launch film, feature walkthrough, store-listing promo, social cut, illustrated story film) in which the product appears as its own real UI, drawn frame by frame from an HTML timeline, rendered with Playwright and cut with ffmpeg. Four routes: licensed footage cut against cinematic product beats, product beats only, a pointer-driven walkthrough with captions or text cards (plain or kinetic), or a cut-paper collage in which an illustrated cast tells a story over real UI captured from the code with fictional data. Use when asked for a product film, hero video, promo or demo video, launch film, explainer, walkthrough video, paper or collage film, or to recut one. Not for plain screen recordings or voice-over walkthroughs; laying a supplied music track under a finished cut is in scope.

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素材改编专家（艾达 · Ada）。擅长视频内容分析（YT-VITA）、精彩片段提取、视频翻译（AI声纹克隆+唇型同步）、多媒体合成、跨语言本地化、本地视频预处理（ffmpeg+whisper）。 触发词："分析这段视频的内容"、"从长视频中提取精彩片段"、"把这段中文视频翻译成英文"、"把这些图片和视频合成一段宣传片"、"把这个视频的对话转成文字"。

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Process multimedia files with FFmpeg (video/audio encoding, conversion, streaming, filtering, hardware acceleration) and ImageMagick (image manipulation, format conversion, batch processing, effects, composition). Use when converting media formats, encoding videos with specific codecs (H.264, H.265, VP9), resizing/cropping images, extracting audio from video, applying filters and effects, optimizing file sizes, creating streaming manifests (HLS/DASH), generating thumbnails, batch processing images, creating composite images, or implementing media processing pipelines. Supports 100+ formats, hardware acceleration (NVENC, QSV), and complex filtergraphs.

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Turn any context (blog URL, pasted article, PR diff, meeting notes, release notes, raw prompt) into a narrated explainer mp4 with slides, subtitles, and optionally a talking-head avatar. Uses a free local stack (Pillow + edge-tts + ffmpeg) with optional SadTalker for the avatar. Use when the user says "動画化", "explainer video", "解説動画作って", "ブログを動画に", "記事を動画化", "PRを動画で説明", "議事録を動画化", "context to video", or wants an mp4 from arbitrary text/source. Output is mp4 + srt under the user's chosen project workspace.

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Burn timed, styled captions into a finished video on the local machine, without re-rendering the source. This is the manual fallback to the API's captioning endpoint, POST /v1/captions, which stays the default path: come here when the style the user wants is outside the API's presets, when the wording has to be hand-corrected before it is burned into the pixels, or when the source was rendered with audio disabled and the API refuses it. Transcribes the audio with Whisper, groups words into reading phrases, renders the captions in a real browser via HyperFrames, and composites them over the source with ffmpeg using a real alpha channel. Use when the user has an MP4 with speech and asks to add captions, subtitles, burned-in text, TikTok-style captions or word-by-word text to it, and the API path has been ruled out. Runs out of band, so it costs no credits and works on any video file whoever generated it. Not for generating video (use the video skills) and not for a separate .srt/.vtt sidecar file.

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Adds professional packaging and motion graphics to videos. Use when the user asks to add intros, outros, subtitles, transitions, watermarks, or lower thirds to a video. Supports multiple styles and custom options, no API key required.

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Generate TikTok/Shorts-style karaoke captions using MLX Whisper, ASS subtitles, and FFmpeg libass. Use when burning word-level highlight captions into a video, matching caption style from a screenshot, rendering ASS karaoke subtitles, or when the user runs /karaoke-captions.

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End-to-end pipeline for producing Vox-style explainer videos from a single topic prompt. One topic in, finished film out — script, keyframes (Seedream 5.0 Pro), animation (Gemini Omni Flash), voiceover (xAI TTS), music (MiniMax Music 2.6), all assembled locally with ffmpeg via the Atlas Cloud API. Use this skill whenever the user asks for an explainer video, a Vox-style video, a documentary short, an educational video essay, a "one prompt to video" pipeline, or wants to turn a topic/article/report into a narrated video with subtitles and music. Also trigger when the user mentions Atlas Cloud video pipelines, keyframe-to-animation workflows, or automated video essays — even if they don't say "Vox."

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Produce a UGC-style talking-head video ad end to end on the MaxFusion MCP — research the product with user-supplied competitor leads, tear down 5 competitor Meta ads and 5 organic TikToks, write a pain-driven script that sounds like a person talking (never like an ad), reverse-prompt a rights-clean photoreal actor from a user-supplied reference photo, generate two chained 10-second Gemini Omni clips that play as one continuous take, and ship a single seamless 9:16 MP4. Use whenever the user wants a UGC ad, a talking-head ad, an ad for an app or product, mentions Omni or Gemini Omni Flash, drops an actor photo and asks for a video ad, or says anything like "make me some UGC", "let's make ads for X", or "another variation". Built for Claude Code (local ffmpeg); degrades to Claude app with documented fallbacks.

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Trigger when: (1) the user mentions "noise", "slop", "frame audit", "video review", "letter spacing", "padding intrusion", "frame extract", "naive arrow", or Korean equivalents (노이즈, slop, 프레임 검수, 글자 깨짐), or (2) after rendering a new or modified Manim scene, or (3) the user asks to review an mp4 in `media/videos/` or `~/Downloads/`. Post-render audit workflow for Manim 1080p60 videos. Extracts keyframes via ffmpeg, inspects them through Claude Code's Read tool, and classifies any defects into four standing categories (naive arrow / padding intrusion / glyph kerning drift / frame-order error). Catalogues 12+ verified incidents across the four GEODE scenes so each is caught the first time, not rediscovered. The companion authoring skill is [[manim-scene-craft]].

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Render an HTML/CSS/JS template to local MP4 via headless Chromium (Playwright) + ffmpeg. NOT live browser recording, screen recording, or AI video gen (mk:multimodal).

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Process multimedia files with FFmpeg (video/audio encoding, conversion, streaming, filtering, hardware acceleration) and ImageMagick (image manipulation, format conversion, batch processing, effects, composition). Use when converting media formats, encoding videos with specific codecs (H.264, H.265, VP9), resizing/cropping images, extracting audio from video, applying filters and effects, optimizing file sizes, creating streaming manifests (HLS/DASH), generating thumbnails, batch processing images, creating composite images, or implementing media processing pipelines. Supports 100+ formats, hardware acceleration (NVENC, QSV), and complex filtergraphs.

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PIL + ffmpeg slideshow videos: product reviews, promos, TikTok/Reels/Shorts.

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Use when performing video/audio processing tasks.

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Extract frames or short clips from videos using ffmpeg.

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Komponiert video-synchronisierte Hintergrundmusik aus einem Storyline-JSON per lokaler Waveform-Synthese (numpy + ffmpeg). Stile: Chiptune, Ambient, Electronic. Deterministisch, offline, kein Cloud-Dienst.

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Turn a release or ship recap into a social pack: posts per platform where every claim traces to a facts file, clip cut-downs per aspect ratio cut with ffmpeg and checked with ffprobe, hand-off for publishing only after GO. Use for "social pack for the release", "posts and clips for this launch", "announce the release".

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