screenkite-clean-cut
Installation
SKILL.md
screenkite-clean-cut
Remove silence gaps and filler words (um, uh, ah, er, hmm) from a ScreenKite recording in a single pass — one transcript, one dry-run, one cut.
Prerequisites
screenkiteCLI at/usr/local/bin/screenkite-alpha(orscreenkite).ELEVEN_LABS_API_KEY(underscored) in a.envanywhere up from the bundle, or exported in the shell environment.ffmpegon PATH.python3+requests— useuv run --with requeststo avoid install issues.
Phase 1 — Open project
'/usr/local/bin/screenkite-alpha' agent project open \
--path '<absolute-path-to.skbundle>' --json