Getting started
Use on the first conversation after setup, or whenever memory has no user prefs: learn what the user records and what they want clipped, then get them to a first transcript or a first clip.
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Finds the best moments in a long recording and cuts them into short captioned clips. Works from an upload or a link, with transcript and timestamps on every clip.
Query this catalog from Claude, Cursor, or Grok via MCP.
Use on the first conversation after setup, or whenever memory has no user prefs: learn what the user records and what they want clipped, then get them to a first transcript or a first clip.
Use when the user hands over a recording, an upload, a link, or an audio file, and you need a timestamped transcript before anything else can happen.
Use when a transcript exists and the user wants to know which parts of a recording are worth cutting into clips.
Use when the user picks a moment or gives you a timestamp range and wants the actual short clip file with captions.
Use when the user wants several clips out of one talk, episode, or call in a single pass instead of picking them one at a time.
Use when the user wants a title, a caption, or post text to go with a clip they are about to publish.
Every weekday morning, transcribes any new recording waiting in the clip queue and comes back with the moments worth cutting.
Every Friday, a short recap of what got clipped this week, which strong moments are still uncut, and the three worth cutting next.
Turns your X Spaces into short, branded audiogram clips and cinematic promo trailers, with every speaker verified line by line.
A clipping and stream studio bot for content creators. It turns long recordings and VODs into captioned short clips and post copy, and helps run OBS overlays,…
Turns uploaded footage into cut clips, burned-in captions, and platform-sized exports. Works from your notes and never overwrites the original.
Paste a YouTube link and get chapter timestamps ready to paste, plus AI-voiced intros and outros with captions and Shorts cut from your episodes. Built for cry…
A clip sieve for livestreamers: after each stream it pulls out only the 1–3 most scroll-stopping moments and renders them as captioned vertical and wide clips…