ai-video-generation

Agent skill from skills-collective/skills.

skills-collective ↓ 49k

Claude Code

View source ↗

What it does

Lead with subject and one main action. "A red kite tumbles across a beach" — verb-driven, not adjective-stacked.
Describe audio inline — "Audio: wind, gulls, distant laughter." HappyHorse generates audio in-pass.
Motion language matters more than visual nouns — "tumbles", "drifts", "snaps into focus" > "looks beautiful".
Multi-shot: describe transitions explicitly — "Then the camera cuts to …" — Arena-leading multi-shot consistency.
Open-weights advantage: pair with Wan ecosystem (LoRA-finetuned variants) when available.
Lens / film language is honored — "35mm anamorphic", "shallow DoF", "soft halation", "Kodak 5219" all land.
Multi-ref: describe roles explicitly — "subject from ref image 1, mood from ref video 2, score from ref audio 1".

Requirements & configuration

runcomfy login # or in CI: export RUNCOMFYTOKEN=<token>
Pick Seedance v2 Pro when the user needs multi-modal conditioning — up to 9 reference images, 3 reference videos, 3 reference audio tracks synthesized in-pass with cinematic motion refinement.
| 77 | not signed in or token rejected |

Configuration: RUNCOMFY_TOKEN

Derived from the skill's own SKILL.md documentation · extracted 2026-07-23

Source

Repository: https://github.com/skills-collective/skills

ai-video-generation FAQ

What does the ai-video-generation skill do?

> Generate AI videos on RunComfy via the `runcomfy` CLI — a smart router across the full video-model catalog: HappyHorse 1.0 (Arena #1, native in-pass audio), Wan-AI Wan 2-7 (open weights, audio-driven lip-sync), ByteDance Seedance v2 / 1-5 / 1-0 (multi-modal cinematic), Kling 3.0 / 2-6, Google Veo 3-1, MiniMax Hailuo 2-3, ByteDance Dreamina 3-0. Covers text-to-video (t2v), image-to-video (i2v), and Veo's video-extend endpoint. The skill picks the right model for the user's intent (Arena-#1 quality, multi-shot character identity, in-pass audio, cinematic motion, fastest path, sub-15s clip, longest duration) and ships each model's documented prompting patterns plus the minimal `runcomfy run` invoke. Triggers on "generate video", "make a video", "text to video", "t2v", "image to video", "i2v", "animate", "AI video", "make X move", "video from prompt", "video from image", or any explicit ask to produce a video clip from prompt or still. Lead with subject and one main action. "A red kite tumbles across a beach" — verb-driven, not adjective-stacked. Describe audio inline — "Audio: wind, gulls, distant laughter." HappyHorse generates audio in-pass.

What does ai-video-generation require?

runcomfy login # or in CI: export RUNCOMFYTOKEN=<token> Pick Seedance v2 Pro when the user needs multi-modal conditioning — up to 9 reference images, 3 reference videos, 3 reference audio tracks synthesized in-pass with cinematic motion refinement. | 77 | not signed in or token rejected | Configuration keys: RUNCOMFY_TOKEN.

How do I install ai-video-generation?

Run: npx -y skills add https://github.com/skills-collective/skills --skill ai-video-generation --agent claude-code — the source lives at github.com/skills-collective/skills.

Maintain ai-video-generation?

Let people know it's listed here — add the badge (live metrics, light/dark aware) or a plain link to your README or docs.

[![ai-video-generation on getagentictools](https://getagentictools.com/badge/skills/skills-collective-skills-ai-video-generation.svg)](https://getagentictools.com/skills/skills-collective-skills-ai-video-generation?ref=badge)

npx agentictools info skills/skills-collective-skills-ai-video-generation

The second line is the CLI lookup for this page — handy in READMEs and docs.