video-clipper
Video Clipper transforms long-form content like podcasts and interviews into polished short-form vertical videos optimized for social platforms. It handles transcription, identifies high-engagement moments using a viral-scoring rubric, extracts clips, applies speaker-tracked reframing to 9:16 format, and adds professional animated captions—all in one workflow.
Video Clipper converts long-form video into ready-to-post short vertical clips with speaker tracking and animated captions.
AI-generated summary based on this skill's SKILL.md
Install
gooseworks-ai/goose-skills/video-clipper · repository language: Python
git clone https://github.com/gooseworks-ai/goose-skills
cp -r goose-skills/skills/design/packs/video-production/video-clipper ~/.claude/skills/video-clippernpx skillfed install gooseworks-ai/goose-skills/video-clipperFrequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
How does video-clipper convert long video to short clips for TikTok?
Video Clipper transforms long-form content into ready-to-post short vertical clips by transcribing your video, automatically identifying high-engagement moments using a viral-scoring rubric, extracting those segments, and reframing them to 9:16 format with intelligent speaker tracking. Professional animated captions are then applied, delivering polished clips optimized for TikTok and other social platforms.
Can video-clipper make vertical reels from a podcast?
Yes. Video Clipper specializes in extracting viral moments from podcasts and interviews. It transcribes your audio, detects the most engaging segments, and automatically converts them into vertical social media clips with speaker-tracked reframing and animated captions—ready to post as Instagram Reels or other vertical formats.
What is speaker tracking video reframing 9:16 in video-clipper?
Video Clipper's speaker tracking intelligently reframes 16:9 video to 9:16 vertical format by keeping the speaker in focus as the primary subject. This ensures your talking-head content remains centered and visually engaging when converted to vertical orientation, rather than cropping randomly or losing important framing.
How does video-clipper find best moments in long video automatically?
Video Clipper uses a viral-scoring rubric to automatically identify and extract the highest-engagement moments from your long-form content. It analyzes transcribed speech patterns, emotional intensity, and engagement signals to pinpoint segments most likely to resonate on social media, eliminating manual review.
Can video-clipper add animated captions to vertical video clips?
Yes. Video Clipper adds professional animated captions to your vertical social media clips as part of its core workflow. These captions are synchronized with your audio and styled to match modern short-form video aesthetics, enhancing readability and engagement on platforms like TikTok and Instagram Shorts.
Does video-clipper batch repurpose content across multiple platforms?
Video Clipper supports batch repurposing of content across Instagram, TikTok, and YouTube Shorts. You can process multiple long-form videos in one workflow, and the tool automatically optimizes each clip for the target platform's specifications and audience expectations.
SKILL.md
rendered from the published skill — quoted content, verbatim
Video Clipper
Takes a long-form video and produces ready-to-post short-form vertical clips with speaker-tracked framing and professional animated captions. Works with podcasts, interviews, talks, and any talking-head content.
Requirements
- FFmpeg installed and available in PATH (
brew install ffmpegon macOS,apt install ffmpegon Linux) - Python 3 with
openai-whisperandrequestspackages (pip install openai-whisper requests). Note:openai-whisperinstalls PyTorch (~2GB download). This skill usesopenai-whisperinstead of the lighterwhisper-cppbecause it provides word-level timestamps needed for accurate viral moment scoring. - yt-dlp installed (for YouTube/URL downloads) —
brew install yt-dlpon macOS,
(truncated - see the full file via the links below)
Read as markdown · JSON record · Browse the source repository
File tree — 2 files
skills/design/packs/video-production/video-clipper/SKILL.md
skills/design/packs/video-production/video-clipper/skill.meta.json