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“ffmpeg”的搜索结果

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Apply video filters - scale, crop, watermark, speed, blur, and visual effects

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benchflow-ai/skillsbench18652026年10月13日 更新

Cut, trim, concatenate, and split video files - basic video editing operations

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benchflow-ai/skillsbench18652026年10月13日 更新

视频配音与配乐。三件事——(1) 配音:把口播稿用 TTS 生成旁白音频;(2) 配乐:根据视频内容/节奏匹配合适的 BGM,从免版权曲库找到并下载;(3) 混音:把 BGM + 旁白 + 视频用 ffmpeg 合成,自动压音(BGM 在人声下自动变小)、响度归一、淡入淡出、对齐视频长度。当用户说「配音」「配乐」「加 BGM」「背景音乐」「找音乐」「给视频配旁白」「TTS 口播」「混音」「audio」时触发。

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SpaceZephyr/creator-buddy16972026年8月26日 更新

将参考图或简要描述解码为可编辑的半色调纸张拼贴规范,默认使用 Codex 内置 image_gen 生成品牌一致的静帧和透明图层,再用本地 FFmpeg 或 HyperFrames 制作“从空背景逐件组装”的确定性动态视频。用户提到半色调拼贴、纸张拼贴、剪纸拼贴、编辑式拼贴、杂志拼贴、复古印刷拼贴、拼贴动效、拼贴动画、剪纸动画、纸片组装、逐层组装、从无到有、元素飞入拼装、定格拼贴、定格动画、Arcads 风格、参考图拆解、风格拆解、反向拆解视觉、照这个风格做、做类似的、生成拼贴静帧、让这张图动起来、让这些元素组装起来、制作拼贴广告或拼贴解释视频时使用。英文触发语义包括 editorial collage、halftone collage、paper collage、paper-cut motion、stop-motion graphic、assemble from empty、build-on motion、analyze this、break this down、reverse-engineer this look、generate the stills、animate this、make these move。默认不调用 Arcads、Nano Banana、Seedance 或 Kling;只有用户明确要求且对应连接器可用时才进入外部生成路径。

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Pluviobyte/rnskill16572026年9月21日 更新

Create reusable black-background white-text opening animations for new videos. Use when the user asks for "黑底白字开场", "纯黑加白字", "白色文字逐渐出来", "一个个字出来", "打字效果", "打字音效", "字体变化开头", "opening title animation", "kinetic text opener", or a short black-and-white intro before a HyperFrames, Remotion, ffmpeg, SaaS/product, tutorial, commentary, or course video. This is for original opener creation, not pixel-level reference matching.

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Pluviobyte/rnskill16572026年9月21日 更新

demo-video

Microsoft 官方免费

Assemble ordered frames or clips with narration and optional synchronized scene transitions into an MP4 via FFmpeg

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microsoft/hve-core15442026年10月21日 更新

video-to-gif

Microsoft 官方免费

Video-to-GIF conversion with FFmpeg two-pass optimization

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microsoft/hve-core15442026年10月21日 更新

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.

中文简介正在准备中。当前显示原文说明。

nateherkai/hyperframes-student-kit15072026年10月13日 更新

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.

中文简介正在准备中。当前显示原文说明。

nateherkai/hyperframes-student-kit15072026年10月13日 更新

Transcribes audio or video to speaker-labeled, timestamped text, locally with MLX on Apple Silicon or remotely. Use for 转录 / 录音转文字 / 说话人分离 / 字幕, and also for preparing audio for ASR without transcribing: 转格式, 降采样到 16kHz, merging recorder segments, or compressing and speeding up audio before 飞书妙记 — even when it looks like a one-line ffmpeg job.

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daymade/claude-code-skills14822026年10月21日 更新

Fetch existing YouTube transcripts/subtitles or archive spoken video content as text, and download YouTube videos/audio or HLS streams (m3u8) with yt-dlp and ffmpeg. Use for transcript/subtitle retrieval, text-first video archiving, video/audio downloads, protected streams with authentication headers, and download failures including nsig, 403 or browser-cookie issues.

中文简介正在准备中。当前显示原文说明。

daymade/claude-code-skills14822026年10月21日 更新

Use when the user's video is on disk - VidSeeds MCP probe, frame/clip extraction, ffmpeg recipes, precision trim, and midroll analysis. Hosted tools return commands/recipes to run locally; media stays on the user's machine.

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hashgraph-online/awesome-codex-plugins13682026年10月21日 更新

Turn a product release (the list of shipped items plus real screen recordings) into a motion recap video and one explained demo per feature, with sound effects tied to on-screen motion and a composed music bed. Deterministic HTML scenes rendered frame by frame, ElevenLabs for sound effects and music, ffmpeg for the mix. Use when asked for a release video, a changelog video, a feature recap reel, or demo clips for release notes and docs.

中文简介正在准备中。当前显示原文说明。

huytieu/COG-second-brain13062026年10月2日 更新

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.

中文简介正在准备中。当前显示原文说明。

AI-Builder-Club/skills12982026年9月16日 更新

Canonical short-form-ad audio mix in one FFmpeg pass. VO loudnorm + 3.0× per-clip + 2.0× mix, music 0.13 base + apad+afade, sidechain compress 20:1 @ 0.01, climax line +20%, optional video-to-music duration sync. Replaces the reactive multi-round tuning that cost v03 6+ passes.

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gooseworks-ai/goose-skills12622026年10月21日 更新

Generates Instagram Reels where product image cuts are synced to audio beats. Accepts audio as a local file, URL, or search query. Uses librosa for beat detection, FFmpeg Ken Burns for scene animation, and Pillow for text overlays. No AI video generation — fully free, fast, and scalable.

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gooseworks-ai/goose-skills12622026年10月21日 更新

Assemble a whiteboard explainer video ad from a beats file — a narrator explains one idea while a real whiteboard fills up in black marker, with a hand-lettered title, bulleted rows down the left, a drawing filling the right, and a payoff that letters the closing line and rings the claim. The board is a PHOTOGRAPH and the ink is multiplied onto it, so the surface sheen and window light come through the strokes; the drawings are generated as line art and traced to ordered strokes, then revealed in drawing order on the word they belong to. The layout is SOLVED from the beats, never hand-placed. FREE assembly (Pillow plus ffmpeg) apart from one board photo and one drawing per subject, both one-time per brand. Use for the whiteboard format.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12622026年10月21日 更新

Assemble a short-form 'vignette' ad from clean product cutouts composited over a kinetic background video — birefnet cutout, then a cold-open text card + product carousel + annotated specimen-sheet end card, plus loudnorm + separate-pass music mux. FREE assembly (PIL + rsvg + FFmpeg); the recipe supplies the config and gates the paid BG/cutout/music calls to their own capabilities. Use for the vignette format.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12622026年10月21日 更新

Assemble a narrated motion-graphic LISTICLE video ad from a config — a spoken voiceover (cloned or cast, in the chosen tone) carries a numbered listicle while N web-animated hyperframe beats (HTML plus the Web Animations API, one branded design system of alternating tiles, big hero numerals, and callouts in the chosen visual style) are rendered frame-by-frame via Playwright and anchored to the VO's word-level timestamps, optional color-graded breather windows (brand clip, AI clip, or motion-graphic) give visual breath, and captions burn ONLY inside those B-roll windows (2-word chunks, ASS Format header carrying a Name field so none drop) with the VO mixed under a low music bed. This is the FREE deterministic assembly stage (Playwright beat render plus ffmpeg concat plus window-masked caption burn plus VO-and-music mix plus final composite) — the VO, the music bed, and any AI breather clips come from create-vo-elevenlabs, create-music-elevenlabs, and create-video-fal. Use for the vo-anchored-motion-listicle format.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12622026年10月21日 更新

Render a designed 'value prop' video from a config — 3-5 noun-phrase benefit claims (<=4 words each) revealed sequentially over per-SKU product visuals, one crisp editorial frame per claim (hook sticker -> N claim beats -> brand end card). Deterministic PIL/HTML beat renderer frame-stepped via Playwright and encoded with FFmpeg, sound-off legible, hard cuts, uniform pacing. FREE (no paid calls); music is added separately (create-music-elevenlabs). Use for the value-prop format.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12622026年10月21日 更新

the UGC fix-loop toolkit — surgically re-render a bad window/beat of a single-take UGC master (stitch_replacement.py, pure FFmpeg) and GPT cross-model review a Seedance prompt before render (vet_seedance_prompt.py, routed through the openai-proxy). Fetch it into a one-shot UGC recipe so both scripts resolve on any machine and the vet call bills the Ads agent.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12622026年10月21日 更新

Render a 'photo-grid promo card' video from a config — a real-DOM card with a FIXED header/footer and a CONTINUOUSLY SCROLLING 2-row grid of MIXED tiles (video clips, product/lifestyle stills, big-serif %-OFF, dark promo-code or CTA) + feature chips, frame-stepped via Playwright with real-time <video> playback and encoded with FFmpeg — deterministic assembly, FREE (the clips + music come from create-video-fal + create-music-elevenlabs), text stays pixel-crisp. Use for the photo-grid-promo-card format.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12622026年10月21日 更新

Composite a generated creator track into a product layer, per beat — in the creator's zone on split beats (either side of a seam), full frame on creator beats, hidden on product beats — with the creator's voice as the audio (loudness -14 LUFS) and an optional ducked music bed, or a music-only or silent master for voiceless formats. Free, local ffmpeg. Pairs with footage-cutlist (the layer) and create-creator-takes-h3 (the creator). Use for split-screen (with an optional zoom and brand-colour seam bar), screen-insert and any creator-over-product format.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12622026年10月21日 更新

Assemble a song-driven music-video ad from a config — a generated sung track carries the whole narration across N tableaux (one keyframe -> one i2v clip per lyric beat) with NO separate voiceover, captions synced to the song's OWN word timings (script-window, never Whisper) and the hook word landing on the chorus drop, closed on a PIL brand end card. This is the FREE deterministic assembly stage (clip cut-to-timeline + captions + end card + FFmpeg composite); the song, keyframes, and clips come from create-music-elevenlabs / create-image-fal / create-video-fal. Use for the song-driven-music-video format.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12622026年10月21日 更新