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wjs-segmenting-videolisted

Use when the user has a long-form video (interview / lecture / podcast / conversation) and a transcript SRT, and wants to extract 3–6 stand-alone topical short clips from it. This skill ONLY cuts and crops — it produces raw clips + per-clip SRTs as a hand-off package for downstream post-production (`/wjs-overlaying-video`). Triggers — "切成几段", "分主题", "拆成短视频", "切片", "topic segments", "split into clips".
jianshuo/claude-skills · ★ 77 · AI & Automation · score 85
Install: claude install-skill jianshuo/claude-skills
# wjs-segmenting-video Cut a long video + SRT into multiple stand-alone short clips, each oriented for the target platform. **This skill stops after cutting + cropping** — it hands off the raw clips to `/wjs-overlaying-video` for covers, captions, illustrations, CTA, and final render. ## When to use - Long-form video (≥10 min) with an existing SRT transcript. - Goal is **stand-alone** short clips (each viewable without context). - The user will (or you will) drive post-production separately in `/wjs-overlaying-video`. ## When NOT to use - Single-topic trimming → just use `ffmpeg -ss A -to B`. - No transcript yet → run **`/wjs-transcribing-audio`** first (then `/wjs-translating-subtitles` if the segments need a non-source language). - Multicam editing → use **`/wjs-editing-multicam`**. - Highlight reel with multiple cuts inside a single topic → that's editing, not segmentation. ## What this skill IS — and IS NOT | Is | Is not | |---|---| | You (the agent) **read the full SRT and decide the topic boundaries** | A script that runs NLP topic modeling, silence detection, or "viral moment" scoring. Topic boundaries are semantic; competing tools (Descript, OpusClip, Riverside Magic Clips) all get this wrong by automating it. | | `segment.py` cuts; `/wjs-reframing-video` reorients | An end-to-end "magic" pipeline | | Accurate-seek cuts by default (re-encode) — clip starts EXACTLY at requested timestamp | Stream-copy cuts (those produce keyframe-snap drift up to GOP duratio