Automate short-form video clip creation from long videos with subtitles.
npx skills add https://github.com/akrindev/trimer-clip --skill autocut-shorts
Please help me install this Agent Skill. Skill: autocut-shorts Source: https://github.com/akrindev/trimer-clip/tree/main/skills/autocut-shorts Command: npx skills add https://github.com/akrindev/trimer-clip --skill autocut-shorts
Long-form videos from podcasts, vlogs, tutorials, and streams are difficult to repurpose quickly for platforms like TikTok, YouTube Shorts, and Instagram Reels. Autocut Shorts automates the end-to-end workflow: downloading or ingesting the source video, transcribing audio, detecting highlights using transcript, laughter, sentiment, and scenes, trimming segments, resizing to 9:16, and adding subtitles for publish-ready clips.
Provide a long video file or URL and run the autocut script to generate multiple 9:16 clips ready for publication.
High-intent search queries and answers about installing and using this skill.
Automate short-form clip creation by ingesting long-form videos like podcasts, transcribing the audio, scoring highlights, and trimming segments into publish-ready 9:16 clips. This workflow handles download, diarization, and resizing end-to-end to generate multiple viral shorts automatically.
Finding viral moments involves combining multiple detection signals: transcript analysis, laughter detection, sentiment analysis, and scene detection. This multi-signal approach scores and selects the most engaging segments from long-form content to identify highlight clips accurately.
Yes, you can use multiple transcription backends including Whisper, Gemini, Google, and OpenAI, alongside diarization options like pyannote or Gemini. This multi-backend support ensures flexible audio processing when generating short-form video clips.
Resize videos to 9:16 and burn in subtitles by applying portrait resizing and subtitle overlay scripts. This process transforms trimmed highlight segments into platform-ready outputs for TikTok, YouTube Shorts, Instagram Reels, and Facebook Reels.
Diarization helps identify distinct speakers, ensuring trimmed segments maintain conversational context and coherence. Combined with highlight scanning and scene detection, it accurately isolates complete viral moments from long-form podcasts and vlogs for short-form clips.
swyxioTranscribe audio and video files using configurable speech recognition backends.
mmcmediaExtract and format vertical 9:16 clips from long videos using FFmpeg.
akrindevDetect laughter and humorous segments in audio or video files.
gagan114662Convert long-form videos into short clips with captions via transcription and segment analysis.
