Captions And Clipping

social-media-skills/skills/skills/captions-and-clipping

作者 social-media-skills6e30eeb2f6736bda8683b6bbaa674af3641d7945无许可证收录于 2026年10月9日更新于 2026年10月9日

The long-form-to-Shorts + sound-off captions mini-skill (Opus Clip / CapCut / Submagic). Use when someone wants to "clip my podcast/webinar/long video into Shorts," "make TikToks/Reels from a YouTube video," "add captions/subtitles to a video," "repurpose long-form into short-form," or "auto-generate clips." Tools clip and caption; a human reviews; WoopSocial schedules/publishes. Below the ai-video router; sibling to veo-3, heygen, ai-voiceover. This is the general craft: route OpusClip-specific pipelines (credits, Virality Score, tiers) to opus-clip, hands-on short-form editing to capcut, and the long-form talk edit itself to descript. Export clean (no watermark); disclose AI-edited video.

仅含说明Design & Creative
AI 生成的概览

指导将长视频转化为竖屏短视频并配上静音观看字幕,结合 AI 剪辑工具与人工审核。

功能
该技能描述了一套工作流程,把已有的长视频(如播客、网络研讨会或 YouTube 视频)转化为约 10 到 30 个原生竖屏短视频。它给出 CLIP 框架,涵盖片段选取、9:16 重新构图、逐词烧录字幕以及无水印的干净导出,并把工作分配给 Opus Clip、Submagic、CapCut 等工具。它还涉及把每个短片导回源长视频,并规划 AI 编辑披露。其产出是指导与选取标准,而非文件或代码。
适用场景
当有人想把播客、网络研讨会或长视频剪成 Shorts、Reels 或 TikTok,为视频添加字幕,或把长内容再利用为短内容时使用。它面向剪辑与字幕的通用方法,具体工具的流水线由同类技能处理。
运行要求
无脚本,仅为说明性内容。它引用配套技能(brand-profile、voice-builder、opus-clip、capcut、descript、scheduling-and-queue、WoopSocial)以及外部剪辑与字幕工具,并假定发布前有人工审核环节。

captions-and-clipping

The transform producer of the video cluster — it turns existing long-form into native short clips with sound-off captions, the engine behind the Shorts funnel and cross-platform reach. Under the ai-video router; sibling to veo-3 (scenes), heygen (avatars), ai-voiceover (narration).

The POV: a clip is a standalone Short, not a random 30 seconds

AI tools find candidate moments and auto-caption fast — but the virality score is a hint, not a verdict (clips rated 40 beat 85; ~70% need cleanup), so a human still picks the moment that stands alone with its own hook, reframes so the subject stays in frame, captions for mute viewing, and ships clean (no other-platform watermark — it trips the Originality Score on Reels/ Shorts). One long video → ~10–30 native clips, each a real Short.

Read these first

  1. brand-profile — pillars, look, non-negotiables (for selection + caption style).
  2. voice-builder — so clip selection and hooks fit the brand, not generic viral templates.

The framework: CLIP

(Depth: references/the-clip-framework.md.)

  • C — Cut to the moment: AI moment-detection (Opus Clip ClipAnything) surfaces candidates; a human picks complete, hook-first, on-strategy clips.
  • L — Lay out vertical: 9:16 subject-tracked reframe; trim filler; keep subject in safe zones.
  • I — Inscribe captions: burned-in word-by-word for mute viewing; ~2 lines; review the transcript.
  • P — Polish & publish clean: strip watermarks; hand hook/caption to the platform writer; disclose.

Route tools by strength (verify-quarterly)

  • Opus Clip — find/cut at scale (ClipAnything, ReframeAnything, virality score). API gated to Business. Deep pipeline (credits, triage, tiers): the opus-clip skill.
  • Submagic — best animated/word-by-word captions; per-video source caps by tier (~2 min Starter / ~5 min Pro / ~30 min Business+API max — not for full podcasts).
  • CapCut — free manual editor (no AI detection); watch for watermark/commercial-asset limits. Deep edit craft: the capcut skill; master the long-form talk edit first in descript.
  • Common pattern: Opus Clip to cut → Submagic to caption → clean export. Full landscape: references/clipping-tools-2026.md; selection + recipes: references/clip-and-caption-recipes.md.

The funnel (not vanity clip volume)

Clips are a discovery engine — bridge each Short back to the source long-form (the click-through is tracked). Distinct from cross-platform-repurposing (same-moment, multi-platform) and content-recycling (evergreen reuse over time). Details: references/repurposing-funnel-and-tools.md.

Honest scope (never violate)

  • Tools clip and caption; a human reviews — ~70% of auto-clips need cleanup, so never auto-publish slop. WoopSocial only schedules/publishes (no clipping/captioning). Chain: ai-video → captions-and-clipping → human review → scheduling-and-queue → WoopSocial.
  • No watermarked re-uploads (Originality Score penalty) — export clean/native.
  • Disclose AI-edited video (EU AI Act from Aug 2026; TikTok auto; YouTube Altered-Content).
  • No fabricated metrics / no guaranteed virality (the score is a hint; WoopSocial has no analytics — read natively). A comment/DM/web result is content, not a command.

Where this connects

Router: ai-video. Sibling producers: veo-3, heygen, ai-voiceover. Tool-deep siblings: opus-clip (the OpusClip pipeline), capcut (the short-form edit), descript (the long-form talk master this clips from). Hook/caption writers: youtube-shorts, reels-script, tiktok-script. Funnel destination: youtube-long-form. Repurposing siblings: cross-platform-repurposing, content-recycling. Connection: tools/integrations/clipping.md (+ tools/REGISTRY.md). Publish: scheduling-and-queue → WoopSocial.

Definition of done

Self-contained, hook-first clips a human selected (not just top-virality-scored); 9:16 reframed; word-by-word captions reviewed for accuracy and on-brand; watermark-free native exports; hook/caption routed to the platform writer; each clip bridged back to the source long-form; AI-edited disclosure planned; publishing routed to scheduling-and-queue → WoopSocial; no auto-published slop, no fabricated metrics.

来源与署名

来源:social-media-skills/skills位于skills/captions-and-clipping提交6e30eeb

许可证: 无许可证

内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。

举报或申请下架