Captions And Clipping

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

作者 social-media-skills6e30eeb2f6736bda8683b6bbaa674af3641d7945無授權條款收錄於 2026年10月9日更新於 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.

僅含說明Design & Creative
AI 產生的概覽

指導把長影片轉成直式短影音並加上靜音觀看字幕,結合 AI 剪輯工具與人工審核。

功能
這個技能描述一套工作流程,把既有的長影片(例如播客、網路研討會或 YouTube 影片)轉成約 10 到 30 支原生直式短影音。它提出 CLIP 框架,涵蓋片段挑選、9:16 重新構圖、逐字燒錄字幕,以及無浮水印的乾淨匯出,並把工作分配給 Opus Clip、Submagic、CapCut 等工具。它也談到把每支短片導回來源長影片,並規劃 AI 編輯揭露。產出是指引與挑選標準,而不是檔案或程式碼。
適用情境
當有人想把播客、網路研討會或長影片剪成 Shorts、Reels 或 TikTok,為影片加上字幕,或把長內容再利用為短內容時使用。它著重剪輯與字幕的通用做法,特定工具的流程則由同類技能處理。
執行需求
沒有腳本,只有說明內容。它引用搭配技能(brand-profile、voice-builder、opus-clip、capcut、descript、scheduling-and-queue、WoopSocial)以及外部剪輯與字幕工具,並假定發布前有人工審核步驟。

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.

來源與署名

來源:social-media-skills/skills位於skills/captions-and-clipping提交6e30eeb

授權條款: 無授權條款

內容歸原作者所有。SourceWeft 從公開儲存庫中收錄這些內容。

檢舉或申請下架