Ai Video Generation

Routes you across 10+ video models with one CLI so you don't have to pick between HappyHorse, Kling, Seedance, Veo, and the rest every time you need a clip. It handles text-to-video, image-to-video, and video extension, and the skill actually picks the right model for your intent: HappyHorse 1.0 for in-pass audio, Wan 2-7 for audio-driven lip sync, Veo 3-1 for physics-accurate motion, Kling 3.0 4K when you need hero shots. The prompting patterns and runcomfy invocations are all documented per model. Honest take: this is the skill you want if you're shipping video at any volume and don't want to remember which vendor does what.

skills.sh installs: 120.6K
GitHub stars: 11
last updated: Jun 3, 2026

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Install

$ npx -y skills add agentspace-so/runcomfy-agent-skills --skill ai-video-generation --agent claude-code

Installs into .claude/skills of the current project.

Files

AI Video Generation

Generate videos with the full RunComfy video-model catalog through one CLI — text-to-video, image-to-video, and Veo's video-extend. This skill picks the right model for the user's intent and ships the documented prompt patterns + the exact runcomfy run invoke for each.

runcomfy.com · Video models · CLI docs

Powered by the RunComfy CLI

# 1. Install (see runcomfy-cli skill for details)
npm i -g @runcomfy/cli      # or:  npx -y @runcomfy/cli --version

# 2. Sign in
runcomfy login              # or in CI: export RUNCOMFY_TOKEN=<token>

# 3. Generate
runcomfy run <vendor>/<model>/<endpoint> \
  --input '{"prompt": "..."}' \
  --output-dir ./out

CLI deep dive: runcomfy-cli skill.