Route video-edit requests to RunComfy models and submit JSON payloads via CLI.
npx skills add https://github.com/doany-ai/skills --skill video-edit-doany-ai
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
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.
Install the skill with npx skills add agentspace-so/runcomfy-skills --skill video-edit and then invoke it via the RunComfy CLI.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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.
prime-skillsOperate RunComfy AI media models via CLI with job submission and output retrieval.
mafvietnamAutomate media encoding, conversion, thumbnails, and background removal with FFmpeg, ImageMagick, and RMBG.
runcomfy-comRoute natural-language video editing intents to RunComfy CLI model calls.
agentspace-soRoute video editing intents to RunComfy models and execute endpoints.
