wjs-segmenting-video

npx skills add jianshuo/claude-skills --skill wjs-segmenting-video --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

# 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)

python3 ~/.claude/skills/wjs-segmenting-video/scripts/segment.py \
Build the comma-separated keyframe list from segments.json
for seg in s['segments']:
ts += [seg['start'], seg['end']]
Re-encode master once, forcing keyframes at all segment boundaries
ffmpeg -i master.mp4 \
Now stream-copy cuts land exactly:
python3 segment.py --segments segments.json --source master_kf.mp4 --out output/
ffprobe -v error -select_streams v:0 -read_intervals "$((N-2))%$((N+5))" \
ffprobe -v error -select_streams v:0 \