Video Editor is a custom-built AI skill that automates common video editing tasks: scene detection, silence removal, auto-cutting to highlights, caption/subtitle generation, b-roll suggestion, and transition effects. It works with raw footage and produces polished output ready for social media or professional use.
Video editing is time-intensive — a 10-minute video can take hours to edit. Video Editor automates the tedious parts: detecting scene changes, removing silences and filler words, generating captions, adding transitions, and cutting highlights for social media clips.
The skill uses computer vision for scene detection, speech-to-text for transcript generation, and language models for identifying the most engaging segments. It outputs professional-quality video with minimal human intervention.
While it won’t replace a professional editor for narrative filmmaking, it’s perfect for content creators, educators, and marketers who need to produce polished video content efficiently.
# Basic edit: remove silences and add captions
video-edit --input raw-footage.mp4 --remove-silence --add-captions
# Social media highlight reel
video-edit --input interview.mp4 --highlights --duration 60s --format vertical
# Full edit with transitions
video-edit --input footage.mp4 --scenes --transitions fade --captions --output final.mp4
Processing: raw-interview.mp4 (22:14)
Analysis:
📹 45 scenes detected
🔇 3:42 of silence removed
💬 1,847 words transcribed
⭐ 5 highlight moments identified
Output:
📦 full-edit.mp4 (18:32) — polished full version
📱 highlights-vertical.mp4 (0:58) — social media reel
📝 captions.srt — subtitle file
Export time: 4:15
AI agents that work well with Video Editor.
Full podcast transcription with speaker diarization, timestamps, and exportable show notes.
Transcribe and summarize YouTube videos with timestamps, key points, and chapter-based navigation.
Generate click-worthy video thumbnails with AI-optimized text placement, color contrast, and emotion analysis.