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Talking-head clips are mostly cut by hand to drop pauses, and the bot had no way to find them: it could only keep segments it guessed. The new remove_silence step finds every pause quieter than threshold_db (default -35 dB) and at least min_silence long (default 0.6 s), keeps padding (default 0.12 s) on each side so word onsets survive, and cuts the rest through the existing keep-segments graph, so picture and sound stay in sync. Steps run in order, so silence is detected on the timeline the steps before it leave: the planner gets an analysis mode that sends that audio through silencedetect into a null output, and ametadata prints the marks to a file in the job directory. The detected speech is handed back to the planner per step. Nothing silent makes the step a no-op; nothing left fails with a clear error. At most 200 pieces are kept, bridging the shortest pauses first, so the filter graph stays a sensible size. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u