video-edit
🎯Skillfrom prime-skills/runcomfy-agent-skills
Installation
npx vibeindex add prime-skills/runcomfy-agent-skills --skill video-editnpx skills add prime-skills/runcomfy-agent-skills --skill video-edit~/.claude/skills/video-edit/SKILL.mdA smart intent-routing skill for video editing on RunComfy that automatically selects the best model (Wan 2.7 Edit-Video, Kling 2.6 Pro Motion Control, or Lucy Edit Restyle) based on what the user wants to do, from general restyling and background swaps to precise motion transfer and outfit changes.
Overview
Video Edit is an intent-routing skill for the RunComfy platform that intelligently selects the best video editing model based on the user's request. Rather than locking users into a single model, it analyzes the editing intent and routes to Wan 2.7 Edit-Video for general restyling and background swaps, Kling 2.6 Pro Motion Control for transferring precise motion from reference clips, or Lucy Edit Restyle for lightweight identity-stable outfit and atmospheric changes. Each route comes with pre-configured prompting patterns optimized for that model's strengths.
Key Features
- Intent-based model routing: Automatically classifies user intent (restyle, motion transfer, outfit swap, background change) and picks the optimal model
- Wan 2.7 Edit-Video route: Supports up to 1080p, identity and motion preservation, reference image conditioning for packaging/design transfer, and audio preservation for talking-head edits
- Kling 2.6 Pro Motion Control route: Maps motion from a reference video onto a target character with identity hold, supporting both image orientation (10s max) and video orientation (30s max)
- Lucy Edit Restyle route: Lightweight, identity-stable edits for outfit swaps, scene relighting, and atmospheric restyling at 720p
- Bundled prompting best practices: Each route includes model-specific tips like leading with preservation goals and using single edit directions per call
- RunComfy CLI integration: Executes via
runcomfy runcommands with structured JSON input, automatic polling, and result downloading
Who is this for?
- Video editors and content creators who need to apply different types of edits (restyle, motion transfer, outfit swap) without manually choosing between models
- Marketing teams producing video variants for campaigns who want optimized model selection for each edit type
- Developers building AI-powered video editing pipelines on RunComfy who want a single skill entry point for multiple editing workflows
Same repository
prime-skills/runcomfy-agent-skills(25 items)
SKILL.md
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