Ai Video Generation

Routes your video request through RunComfy's CLI to the right model: HappyHorse 1.0 if you want in-pass audio, Veo 3-1 for physics-accurate product spins, Wan 2-7 when you need lip-sync to a specific voiceover file, Kling 3.0 4K for final delivery, Seedance v2 for multi-reference cinematic work. Covers text-to-video, image-to-video, and video extension. The model catalog is deep enough that picking the wrong one wastes time and money, so the skill ships prompting patterns and intent heuristics for each. Helpful if you're doing ad creative or social clips at volume and don't want to memorize which ByteDance tier does what.

skills.sh installs: 273.6K
GitHub stars: 5
last updated: Aug 21, 2026

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Install

$ npx -y skills add doany-ai/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.