ClipSense is a specialized Claude Code skill designed to streamline video post-production workflows directly from your terminal. By combining the power of Large Language Models with FFmpeg, it enables users to programmatically extract the best parts of a video, remove dead air, split long recordings into topic-based chapters, and polish talking-head content. Whether you are a podcaster needing to generate social media clips or a developer creating tutorials, ClipSense provides a robust framework for transforming raw footage into high-quality, structured video content with minimal manual effort.
主な機能
01Granular control over audio thresholds, padding, and segment duration
02Automated silence and pause removal to clean up raw vocal recordings
03Talking-head polishing including automated subtitle generation and ASR transcription
04Intelligent topic splitting to segment long lectures into digestible chapters
05AI-powered highlight extraction with customizable 'flavors' like funny or informative
061,971 GitHub stars
ユースケース
01Organizing recorded company meetings or lectures into indexed topic segments
02Converting a 60-minute podcast into 5 viral social media highlights automatically
03Cleaning up instructional videos by removing 'uhms', 'ahms', and long pauses