filler-word-processing
OfficialAutomatically remove filler words from video.
Design & Creative#video-editing#annotation#audio-processing#filler-word#segment-detection#transcript-cleanup#merging-segments
AuthorGeneralReasoning
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Process filler word annotations to generate actionable video edit lists, enabling efficient removal of speech disfluencies from audio/video content.
Core Features & Use Cases
- Convert timestamp annotations into precise cut segments using word-specific durations.
- Merge closely spaced or overlapping segments to produce clean edit lists for automated video processing.
- Apply to video editing workflows where removing filler words improves pacing, readability, or accessibility (e.g., podcasts, lectures, interviews).
Quick Start
Process an annotation file with timestamps to generate a merged list of cut segments for removing filler words.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: filler-word-processing Download link: https://github.com/GeneralReasoning/env-skillsbench/archive/main.zip#filler-word-processing Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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