Video & Animation

動畫影片的視覺自我審查循環（HyperFrames 版）— 輸出草稿、在每個時間軸節拍截圖拼成 contact sheet、逐張對照檢查表、修正、重來。只要動畫的畫面或時間有任何修改，以及在宣告影片完成之前，都一定要使用此技能。

Structure Remotion markup for interactivity

Router for all Remotion skills

WHEN the user wants MCP/agent-driven video editing entrypoints backed by OpenMontage rather than a greenfield MCP.

Generate brand-quality product images through Higgsfield product-photoshoot prompt enhancement on GPT Image 2 / gpt_image_2. Entry point for professional brand/product visuals. Use when: "product photo", "studio shot", "lifestyle image", "Pinterest pin", "hero/banner", "carousel", "ad creative", "Meta ads", "virtual try-on", "model wearing", "person holding product", "closeup with hands", "levitating/floating/splash product", "CGI/surreal product", "restyle", "seasonal/aesthetic variation", or any product, brand, or paid-social creative. Modes: product_shot, lifestyle_scene, closeup_product_with_person, moodboard_pin, hero_banner, social_carousel, ad_creative_pack, virtual_model_tryout, conceptual_product, restyle. Backend assembles the final prompt; never freehand it. NOT for: no-product text-to-image (use higgsfield-generate), branded avatar video (use higgsfield-generate Marketing Studio), marketplace listing cards (use higgsfield-marketplace-cards), Soul Character training (use higgsfield-soul-id).

Train a Soul Character — a personalized model on a person's face that Higgsfield uses for identity-faithful image and video generation. Use when: "create my Soul", "train my face", "make my digital twin", "build me an avatar", "learn my appearance", "create a character of me", "set up identity for video", "I want my face in generated images". Chain: train Soul (one-time, returns reference_id) → use in higgsfield-generate via `--soul-id <id>` with models like `text2image_soul_v2` or `soul_cinema_studio`. NOT for: one-shot face swaps (use higgsfield-generate with --image), named-character / non-photo avatars (use higgsfield-generate with prompt).

Produce a video artifact with code — a pure time→frame renderer plus a validated render/encode/mux pipeline (motion graphics, data animations, explainers, showreels, generative loops, audio-reactive pieces). Use when the deliverable is a video file, a looping animation, a frame sequence to mux with audio, or when you must verify duration/fps/container specs, loop seams, a "nothing is ever frozen" floor, contact-sheet reviews, loudness/true-peak targets, or render throughput. Load before writing the first line of drawing code.

Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated motion-first unit, including an animated title. Route fresh creation through hyperframes before using this skill.

Generate marketplace product image cards through Higgsfield: compliant main image, secondary product images, and A+ style content modules. Use when the user asks for marketplace listing images, product detail cards, secondary product images, product infographics, lifestyle listing shots, A+ style content, marketplace image sets, or sales-ready product visuals. Backend owns marketplace compliance references and prompt templates; this skill only routes user intent to the CLI. NOT for generic brand product photography without marketplace/listing context (use higgsfield-product-photoshoot), video generation or UGC ads (use higgsfield-generate), or Soul Character training (use higgsfield-soul-id).

Generate images/videos via Higgsfield AI. Default: GPT Image 2 for images/design/text, Seedance 2.0 for video, Nano Banana 2/Pro for character/reference image work, Marketing Studio for ads with avatars/products/hooks, settings, plus Soul V2/Cinema/Cast/Location and Kling 3.0. Use when: "generate an image", "make a video", "animate this photo", "image-to-video", "edit/stylize/remix this image", "produce a clip", "create an ad", "make a UGC video", "product demo", "unboxing", "brand video", "presenter video", "import product from URL", "create avatar for ad", or "analyze video virality". Supports image-to-image, image-to-video, references, job/upload IDs, and Marketing Studio. Chain with higgsfield-soul-id for face/identity consistency. Virality Predictor (`brain_activity`) analyzes video virality: hook strength, attention, retention, distraction risk, and creative score. NOT for: Soul Character training (use higgsfield-soul-id), product photoshoots, marketplace listing cards, text/chat/TTS tasks.

All animation knowledge for HyperFrames — atomic motion rules, multi-phase scene blueprints, scene transitions, broader motion-design techniques, AND the seven runtime adapters (GSAP default, plus Lottie, Three.js, Anime.js, CSS keyframes, Web Animations API, TypeGPU). Use for any motion or animation task: pick 2-4 rules and compose, or load a blueprint, or look up runtime-specific API (e.g. GSAP eases / Lottie player / Three.js mixer). Also covers auditing an existing composition's choreography (animation map) and 24 named text-animation effects. HyperFrames-native: single paused timeline, seek-safe, deterministic.

Add captions or subtitles to an existing single-subject talking-head video without editing the footage. Use for plain verbatim captions, cinematic captions embedded behind the subject, VFX captions, “炸/特效/酷炫字幕,” or a named identity from the 35-style catalog. Route by visual identity, not by backend engine. The quiet `anchor` rail is the default; embed every word only when the user explicitly wants a fully cinematic treatment. The workflow runs locally end to end, including transcription and subject matting; split multi-shot footage before applying it.

Turn arbitrary text — an article, notes, a topic, a brief — into a faceless explainer video: there is no site or footage to capture, so the visuals are invented per scene (typography, abstract graphics, diagrams, data-viz). Use for topic explainers, concept breakdowns, how-tos, listicles. Not a video built from a website (/product-launch-video — promo or tour). Unclear → /hyperframes.

영상(mp4)을 분석해 코드로 연출을 입힌 해설·하이라이트 영상을 만든다. 화면녹화(줌인·클릭 리플·풍선 도움말·HUD), 게임 플레이(돋보기 확대·피격 타격감·슬로모션·정지 화면·팝업 텍스트·HP 게이지 분석), 브이로그·애니메이션(대상 추적 말풍선·스티커·색보정·배속), 광고·홍보·여행 필름(원본 글씨 지우기·다국어 광고 타이포·낙관·먹물 전환·빛 번짐·레터박스)을 영상 유형별 프로필로 처리하고, 신스로 합성한 배경음(pop/epic/chill/cute/zen 국악풍)·효과음·원본 소리·선택적 성우 내레이션(TTS)을 믹스한다. "화면녹화에 설명 효과 넣어줘", "게임 영상 재밌게 편집", "보스전 하이라이트", "브이로그 자막·효과", "클릭할 때 줌인·풍선도움말", "자막·배경음·성우 입혀줘", "광고 영상으로 만들어줘", "홍보 영상 영어판", "원본 글씨 지우고 영어로", "screen recording explainer", "gameplay highlight edit", "promo film" 등에 사용한다.

Import Figma content into a HyperFrames composition — rendered assets, brand tokens, components, storyboard sections → reconstructed motion (frames read as states, not slides) (REST/CLI), connector-assisted motion when available, and shaders from a connector or native export. Use when the user pastes a figma.com link or asks to bring a Figma design, frame, logo, brand, or animation into a video/composition.

Kiểm tra và cài đặt mọi thứ VideoMotion cần (Node.js, ffmpeg, HyperFrames, môi trường Python, giọng VieNeu, Whisper). Dùng khi người dùng mới cài plugin, gõ "/vm-cai-dat", "cài đặt video", "kiểm tra máy làm video", hoặc khi một bước làm video báo thiếu công cụ.

Chọn hoặc tạo nhạc nền cho dự án video, đo nhịp, rồi trộn với giọng (nhạc tự hạ khi có lời, chuẩn -14 LUFS). Dùng ở bước 6 của /videomotion, hoặc khi người dùng gửi file nhạc, nói "đổi nhạc", "nhạc sôi động hơn", "nhạc nhỏ lại".

Dựng hình cho dự án VideoMotion đã có giọng và phân cảnh: tải phông của style, viết màu, giao từng cảnh cho agent vm-canh chạy song song, ghép, kiểm tra kỹ thuật, render, ghép âm thanh và phụ đề. Dùng ở bước 7 của /videomotion, hoặc khi người dùng nói "dựng lại cảnh", "render", "xuất video", "sửa hình cảnh X".

Sinh giọng đọc tiếng Việt bằng VieNeu-TTS từ script.json của một dự án video, tự chấm phát âm bằng Whisper, giữ bản đọc tốt nhất, lấy mốc thời gian từng từ (voice.wav, words.json). Dùng ở bước 4 của /videomotion, hoặc khi người dùng nói "sinh giọng", "đọc lại câu", "đổi giọng", "sửa phát âm".

AI动态漫/短剧视频制作全流程技能。适用于基于角色设定和分镜脚本，逐片段生成校园/青春/剧情类AI动态漫视频。覆盖参考图引用、提示词工程、角色一致性、片段连贯性、声音规范、去水印、后期合成全链路。强制使用image_to_video + 参考图驱动，保证角色面部/发型/服装一致性。

Extract lyrics/subtitles with timestamps from local video/audio: whisper transcript + burned-in (hardsub) text OCR.

Mandatory engineering rules for OpenCut Studio (Remotion frame math, Hybrid Local + Google Drive storage, and WebCodecs export).

Transcribing, displaying and animating captions

Router for all Remotion skills