Screenkite Clean Cut

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

• screenkite CLI at /usr/local/bin/screenkite-alpha (or screenkite).
• ELEVEN_LABS_API_KEY (underscored) in a .env anywhere up from the bundle, or exported in the shell environment.
• ffmpeg on PATH.
• python3 + requests — use uv run --with requests to avoid install issues.

Phase 1 — Open project

'/usr/local/bin/screenkite-alpha' agent project open \
  --path '<absolute-path-to.skbundle>' --json

Confirm the project is current:

'/usr/local/bin/screenkite-alpha' agent project current --json

Phase 2 — Transcribe mic audio

Mic audio lives at <bundle>/media/microphone_*.m4a.

# Source .env first if key is not in the shell
set -a && source /path/to/workspace/.env && set +a

uv run --with requests \
  .agents/skills/screenkite-clean-cut/scripts/transcribe_mic.py \
  '<bundle>/media/microphone_<name>.m4a' \
  --edit-dir '<bundle-parent>/<slug>-edit' \
  --language en \
  --num-speakers 1
# Output: <edit-dir>/transcripts/<stem>.json  (word-level, cached)

Re-running is a no-op if the transcript JSON already exists.

Phase 3 — Dry-run (mandatory — show user before applying)

uv run --with requests \
  .agents/skills/screenkite-clean-cut/scripts/compute_all_cuts.py \
  '<edit-dir>/transcripts/<stem>.json' \
  --min-silence 0.8 \
  --silence-pad 0.15 \
  --filler-pad 0.03 \
  --dry-run

Output shows two sections: Silence gaps and Filler words, then a combined summary. Show the full table to the user. Do not apply cuts until the user confirms.

Tuning knobs:

Phase 4 — Apply cuts

All silence + filler ranges are merged and sorted before the single editTimeline call, so there is no ordering issue with existing timeline edits.

'/usr/local/bin/screenkite-alpha' agent tool call \
  --name editTimeline \
  --input-json "$(uv run --with requests \
      .agents/skills/screenkite-clean-cut/scripts/compute_all_cuts.py \
      '<edit-dir>/transcripts/<stem>.json' \
      --min-silence 0.8 --silence-pad 0.15 --filler-pad 0.03 \
      --emit-tool-input)" \
  --json

Or save cuts first and apply separately:

# Save
uv run --with requests \
  .agents/skills/screenkite-clean-cut/scripts/compute_all_cuts.py \
  '<edit-dir>/transcripts/<stem>.json' \
  --min-silence 0.8 --silence-pad 0.15 --filler-pad 0.03 \
  --output '<edit-dir>/all_cuts.json'

# Apply
python3 .agents/skills/screenkite-clean-cut/scripts/apply_cuts.py \
  '<edit-dir>/all_cuts.json'

Phase 5 — Verify

'/usr/local/bin/screenkite-alpha' agent tool call \
  --name getProjectState --input-json '{"scope":"summary"}' --json

Check that duration shrank by roughly the total removed seconds.

To undo: editTimeline action=undo — one call per cut, last-in-first-out.

Key differences from screenkite-transcription-cut

Anti-patterns

• Never skip the dry-run. Cuts are destructive; undo is one-step-at-a-time.
• Don't set --min-silence below 0.3s. Feels choppy.
• Don't set --filler-pad below 0.02s. Audio clicks at splice points.
• Don't run without an open project. CLI calls silently fail.
• Don't add words like "like", "right", "so" to --fillers without review. Context-dependent words cause many false positives. Stick to hesitation sounds.