awesome-ai-video-editing

Transcribe a ScreenKite recording's mic audio, then remove BOTH silence gaps AND filler words (um, uh, ah, er, hmm) from the timeline in a single merged editTimeline cut. Use when the user asks to "clean up audio", "remove filler words", "remove ums and uhs", "cut dead air and fillers", or "full auto-cut" on a .skbundle project. Combines screenkite-transcription-cut silence removal with filler-word detection into one dry-run → confirm → apply flow. Do NOT use for B-roll overlay work (see use-screenkite-advanced-b-roll). Do NOT use when no .skbundle is open.

Transcribe a ScreenKite recording's mic audio, detect silence gaps in the word-level transcript, and cut those gaps from the timeline using editTimeline action=cut. Use when the user asks to "remove silences", "auto-cut dead air", "transcript-based cut", or "clean up pauses" in a .skbundle project. Do NOT use for B-roll overlay work (see use-screenkite-advanced-b-roll). Do NOT use when no .skbundle is open.

End-to-end pipeline for adding short animated B-roll overlays to a ScreenKite screen recording using the advanced DSL scene layout. Transcribes the microphone audio with ElevenLabs Scribe, proofreads product names via web search, plans brief corner-PiP visual moments, generates each visual with Hyperframes (HTML + GSAP) via parallel sub-agents, renders to MP4, and composites via ScreenKite's setSceneLayout with magicMove transitions. Use when (1) the user opens or references a .skbundle ScreenKite recording and wants animated B-roll accents on top of screen + camera, (2) the user says "add B-roll", "advanced layout", "overlay visuals", "plan visuals for this recording", "ScreenKite DSL", (3) the user wants transcript-driven visual planning where visuals are brief corner accents rather than full-frame takeovers.