Agent skill · creative production · aiskillstore

ai-video-generation

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.

Why this skill is useful

Adds executable commands for generating videos using the RunComfy CLI, including model selection and prompting patterns not found in public documentation.

What it needs

Requires @runcomfy/cli installed locally. Requires runcomfy account access. About 9k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.

What this skill does

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 CLI deep dive: runcomfy-cli skill. Install this skill --- Pick the right model for the user's intent Text-to-video (t2v) — newest first HappyHorse 1.0 — happyhorse/happyhorse-1-0/text-to-video (default) Currently #1 on Artificial Analysis Video Arena. Native synchronized audio generated in-pass (no separate Foley step). Native 1080p, up to ~15s, strong multi-shot character consistency. Pick for: general-purpose t2v, ad creative with audio, social-media clips, multi-shot narratives. Avoid for: audio-driven lip-sync to a specific voiceover MP3 — use Wan 2-7. Kling 3.0 4K — kling/kling-3.0/4k/text-to-video Kling's latest, 4K output, strong multi-shot character identity, premium camera language. Pick for: hero shots, final-delivery 4K cuts, multi-shot character narratives. Avoid for: cost-sensitive iteration — drop to Kling 2-6 Pro or Standard i2v. Seedance v2 Pro — bytedance/seedance-v2/pro ByteDance flagship — multi-modal (up to 9 reference images, 3 reference videos, 3 reference audio), in-pass synchronized audio, cinematic motion refinement, lens language honored. Pick for: cinematic ad frames, multi-reference composition (subject + scene + audio refs), 21:9 anamorphic looks. Avoid for: simple "single prompt → clip" jobs — overpowered, slower. Seedance v2 Fast — bytedance/seedance-v2/fast Faster variant of Seedance v2 Pro, same multi-modal capabilities. Pick for: iteration on Seedance v2 compositions before locking a final on Pro. Avoid for: hero-shot final delivery. Wan 2-7 — wan-ai/wan-2-7/text-to-video Open-weights flagship, audiourl field for audio-driven lip-sync, pairs natively with Wan image models. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills aiskillstore/ai-video-generation--3f9a76

View the source on GitHub

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