video-edit

Name: video-edit
Availability: InStock
Author: doany

Route video-edit requests to RunComfy models and submit JSON payloads via CLI.

5|2|Updated May 18, 2026

Search Tags:#routing #workflow-orchestration #model-selection #prompt-routing #runcomfy #video-edit

Ready to run

npx skills add https://github.com/doany-ai/skills --skill video-edit-doany-ai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: video-edit
Source: https://github.com/doany-ai/skills/tree/main/video-edit
Command: npx skills add https://github.com/doany-ai/skills --skill video-edit-doany-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Video editing often requires selecting the right specialized model and crafting prompts for each task. This skill acts as a smart router, routing user intents to the best RunComfy video-edit model (Wan 2.7 Edit-Video, Kling 2.6 Pro Motion Control, or Lucy Edit Restyle) and packaging prompting patterns to reduce iterations.

Core Features & Use Cases

Route user intents to Wan 2.7 Edit-Video, Kling 2.6 Pro Motion Control, or Lucy Edit Restyle based on the described goal.
Bundle each model's prompting patterns to minimize iterations and ensure accurate edits.
Trigger runs via RunComfy CLI with a structured JSON payload and automatically fetch outputs.

Quick Start

Install the skill with npx skills add agentspace-so/runcomfy-skills --skill video-edit and then invoke it via the RunComfy CLI.

Frequently Asked Questions about video-edit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I route a video edit request to the right AI model?▼

Route video edit requests by analyzing user intent to select the appropriate RunComfy model, such as Wan 2.7 Edit-Video or Lucy Edit Restyle. It matches the described task like restyle or background swap to the correct model for execution.

What is the best way to automate motion transfer in a video workflow?▼

Automate motion transfer by routing the request to Kling 2.6 Pro Motion Control. The skill bundles prompting patterns for motion transfer tasks to minimize iterations and submits a structured JSON payload via the RunComfy CLI.

How does prompt routing work for RunComfy video editing?▼

Prompt routing works by analyzing the user's editing goal and automatically selecting the matching RunComfy model. It packages prompting patterns tailored to the chosen model to ensure reliable executions and reduce iteration attempts.

Do I need the RunComfy CLI to perform outfit changes in video edits?▼

Yes, you need the RunComfy CLI to perform outfit changes. The skill triggers runs via the CLI using a structured JSON payload and enforces token-based authentication to safely handle media URLs for outfit change tasks.

Can I use this routing approach for background swaps and video restyling?▼

Yes, you can use this routing approach for background swaps and video restyling. It directs background swap tasks to Wan 2.7 Edit-Video and restyling tasks to Lucy Edit Restyle, guiding the CLI call with structured payloads.

What are the limitations of automated model selection for video editing?▼

Automated model selection is limited to three specific RunComfy models: Wan 2.7 Edit-Video, Kling 2.6 Pro Motion Control, and Lucy Edit Restyle. Input validation and token-based authentication are enforced to ensure safe handling of media URLs.