video-cutter: standalone sentence-aware cutter
SkillMediaCut any video into sentence-aligned clips at silence-midpoint boundaries given approximate target timestamps. Works on YouTube downloads, Loom recordings, uploaded MP4s, recorded calls. Triggers on "cut this video at", "split into sections", "make clips from", "cut at boundaries".
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the video-cutter: standalone sentence-aware cutter skill
What this skill tells your AI
The instructions your AI receives, as published by naveedharri/benai-skills in shared-skills/video-cutter/SKILL.md and read by ahel’s review.
When triggered, invoke the video-cutter-agent sub-agent with:
video_path: path to the source videoword_timings_path: path to a word-timings JSON, or null (the agent will transcribe with faster-whisper if missing)target_cut_points: approximate timestamps in seconds where the user wants cutsoutput_dir: defaultTeam/BenAI/Profiles/Milan/Daily/{today}/cuts/, or user-specifiedsection_titles: ordered names for the output clip filenames
If word timings are not provided, the agent will transcribe first. Pass null for word_timings_path to trigger this.
Profile boundary
Output writes to Profiles/Milan/ unless the user specifies otherwise. See [[yt-pipeline SPEC|SPEC.md]].
For the algorithm details, see [[algorithm]]. For QA verification, see [[qa-protocol]].
Signals
- GitHub stars
- 64
- Forks
- 29
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
video-cutter- Source
- github.com/naveedharri/benai-skills