Video & Animation

Translate, dub, and localize speech in an existing video with optional lip sync and translated captions.

Translate and dub existing videos into multiple languages using HeyGen.

YouTube to Bilibili video repurposing with bilingual subtitles.

Agent skill 'google-agents-cli-scaffold' from google/agents-cli.

Antigravity AI Agent Skill for ffmpeg optimization — encoding ladders, compression, and delivery-ready exports.

Run one authorized Neural Labs local-business prospect concept from bounded city discovery through an original cinematic site, browser QA, optional demo-pi publication, and preference-aware automation notification.

Process video, audio, and images with FFmpeg, ImageMagick, and RMBG. Use when converting, compressing, resizing media files, or removing backgrounds. NOT for UI image assets (use design-system) or prompt-based generation (use ai-artist).

Build a short (~15-40s) animated "story video" as a single self-contained HTML file — kinetic typography on a cinematic ground, with the brand logo and a royalty-free music track embedded (trimmed + faded to the cut, beat-synced). Use when the user wants a promo / brand / campaign / launch / explainer / "sizzle" video, a video for an email or landing page, or says "make a video / a short film / a story cut / an animated intro." Produces a self-contained playable HTML, and renders it to a real MP

Summon Adam Neumann into this chat. Building one of the most spectacular narrative-driven valuations in startup history, and the cautionary tale of what happens when the story outruns the numbers. Use when the user types /adam-neumann, says "summon Adam Neumann" or "ask Adam Neumann", or wants Adam Neumann on vision, mission, storytelling, fundraising, blitzscaling, community, brand, charisma, real estate, hubris, unit economics, founder mode, narrative, S-1, comeback. Routes every answer throug

Preview a Remotion video

Image handler for the Hugo blog newsletter. Adds an image URL to the target newsletter post's Bonus → Images with a detected label. For Substack-hosted images it finds the source post (ByteByteGo and other configured publications) via RSS then sitemap, using the figure caption or post title as the label; for other sites it is best-effort; if no label is found it asks you to type one. Normally invoked by the mt-add-url meta skill after classification, but can be used directly for a known image UR

Interacting with Mediabunny

Process media with FFmpeg (video/audio), ImageMagick (images), RMBG (AI background removal). Use for encoding, format conversion, filters, thumbnails, batch processing, HLS/DASH streaming.

Tanıtım/eğitim videosu üretme ve mevcut videoyu KARE DÜZEYİNDE düzeltme kiti (Python + OpenCV + ffmpeg; Android çekimi için adb). BU SKILL'İ KULLAN: Android uygulamasından ekran kaydı alıp dokunuş işaretli, açıklama panolu 1920x1080 tanıtım videosu kurgularken; zaman kodlu seslendirme metni / SRT altyazı üretirken; dikey (9:16) videoyu yatay (16:9) yaparken; videodaki bir bölgeyi başka bir çekimden taşırken (eğik baş, bozuk yüz); dönüş/hareket yönünü ters çevirirken; dizüstü ekranını tablet+parm

MiniMax multimodal model skill — use MiniMax Multi-Modal models for speech, music, video, and image. Create voice, music, video, and images with MiniMax AI: TTS (text-to-speech, voice cloning, voice design, multi-segment), music (songs, instrumentals), video (text-to-video, image-to-video, start-end frame, subject reference, templates, long-form multi-scene), image (text-to-image, image-to-image with character reference), and media processing (convert, concat, trim, extract). Use when the user m

拉片：把一条成片拆成逐镜头的分析表——每个镜头的时长、景别、类别、运镜、画面。 分工刻在骨子里：**能量的都由代码量**（切点来自 ffmpeg 场景检测，时长是切点相减， 运动量是逐帧差分的中位数），模型只判断它真正该判断的四件事（景别 / 类别 / 运镜 / 画面）， 然后每一条判断都被代码当场对账——**声称推拉摇移却实测几乎不动，门直接拦**。 看片走联系表（每镜起手帧 + 收尾帧各拼一张大图，一屏二十几个镜头，a/b 对照就是运镜）， 不是一张张翻。检测漏刀多刀用 recut 补刀并刀，自动重编号重算时长，手改边界过不了门。 产出 shots.json + Markdown 镜头表 + **单页交互式拉片报告**：内嵌播放器（播放时同步高亮镜头、 点镜头跳转）、镜头节奏带、可搜索可筛选可排序的镜头表（列表 / 卡片两种视图、首尾关键帧并排、 点图开大图）、景别类别运镜分布、出场人物、质量门、导出 JSON。单文件零依赖，离线双击能开。 14 道质量门全部由脚本确定性检查。 零依赖、零 API key，只要 node 和 ffmpeg。 Use when asked to 拉片

FFmpeg media processing skill — 40 tools for clipping, stitching, noise removal, subtitles, transcoding. No cloud API required.

Use for any FFmpeg/ffprobe work in the video pipeline — probing a media file, cutting/trimming/concatenating, retiming, scaling for YouTube 16:9 or Shorts/Reels 9:16, thumbnails, NVENC or CPU encoding choices, loudness normalization (-14/-16 LUFS), silence/dead-air removal, ducking music, burning or muxing subtitles, drawtext lower thirds, alpha overlays, GIF/WebP, image sequences, stream mapping/metadata/timecode, ffmpeg quoting in PowerShell/cmd/Git Bash, progress and exit-code handling, and v

Generate a ~45–60 s vertical short (YouTube Shorts / Reels / X) for a Feel Your Protocol exploration — draft content / playbook / narration from `canonical.ts` (coreQuestion is the anchor), run QA, synthesize voice with ElevenLabs, record with Playwright, mux with ffmpeg. Use for round-trip phase 5, or when the user asks for a short / video for EIP-xxxx.

Agent 1 of the video editing pipeline. Removes silences and dead air from a talking-head recording. Use when asked to cut silences, trim pauses, remove dead air / gaps, or tighten the pacing of a raw video, given a word-level transcript. Produces an edit list (EDL), a re-timed transcript for downstream agents, and optionally the cut video via ffmpeg. Does NOT cut mistakes, repeats, or false starts — that is the cut-mistakes agent.

Agent 2 of the video editing pipeline. Finds and removes spoken mistakes — stutters, repeated words, false starts, and retakes (re-recorded lines) — from a talking-head recording. Use after cut-silences, when asked to cut mistakes, remove stutters / repeats / filler restarts, clean up flubs, or keep the best take. Works review-gated: it proposes every cut with context and a reason for approval, then renders only the approved cuts via ffmpeg. Requires a word-level transcript.

Content, animation and effects best practices

Record PsyNet participant-flow visual evidence with Playwright-driven interaction, screenshots, and ffmpeg screen/audio capture. Use when collecting participant evidence, creating participant.mp4, or documenting participant-facing behavior.

飞书妙记：搜索妙记、查看妙记基础信息、下载/上传音视频、读取或编辑妙记的产物内容、改标题、替换说话人/关键词、申请妙记查看/编辑权限。当给出minute_token、本地音视频文件，要查/改/转妙记产物，或用户明确要主动申请妙记权限时使用；本地音视频转纪要/逐字稿优先走本 skill，不要用 ffmpeg/whisper 本地转写。不负责：获取会议关联妙记，或仅按自然语言标题定位纪要