by louisedesadeleer · Claude Skill · ★ 62
Cut Video A Claude Code skill that tightens long-form recordings — removes silences, ums, fillers, and dead air while preserving laughs and comedic pauses. More accurate than cutting from Whisper alone. Cuts are driven by Montreal Forced Aligner (MFA) word boundaries (10–20ms precision, with true inter-word silences as explicit intervals) rather than Whisper timestamps (±100–300ms, with pauses embedded inside word durations). Whisper is used only to produce the transcript text; MFA aligns it to the audio. The result: tighter cuts, no clipped word onsets/tails, and reliable silence detection.
| Stars | 62 |
| Forks | 7 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 64.9905255270967/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-02 |
| Created | 2026-05-15 |
| Platforms | claude-code, python |
| Est. Tokens | ~4k |
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cut-video is Claude Code skill: tighten long recordings — remove silences, ums, dead air. Preserves laughs and comedic pauses. Fast on Apple Silicon.. It is categorized as a Claude Skill with 62 GitHub stars.
cut-video is primarily written in Python.
You can find installation instructions and usage details in the cut-video GitHub repository at github.com/louisedesadeleer/cut-video. The project has 62 stars and 7 forks, indicating an active community.
cut-video is released under the MIT license, making it free to use and modify according to the license terms.