ai-video-generation
๐ฏSkillfrom prime-skills/runcomfy-agent-skills
Installation
npx vibeindex add prime-skills/runcomfy-agent-skills --skill ai-video-generationnpx skills add prime-skills/runcomfy-agent-skills --skill ai-video-generation~/.claude/skills/ai-video-generation/SKILL.md
|A Claude Code skill that acts as a smart router for AI video generation across the full RunComfy model catalog. Supports text-to-video, image-to-video, and video-extend modes with models including HappyHorse 1.0, Kling 3.0, Wan 2.7, Seedance, Veo 3.1, and more.
Overview
AI Video Generation is a Claude Code skill that serves as a unified router for generating videos across the entire RunComfy video-model catalog through a single CLI. It automatically selects the best model for the user's intent and provides documented prompt patterns along with the exact runcomfy run invocation for each model. The skill covers text-to-video (t2v), image-to-video (i2v), and video-extend endpoints, spanning models such as HappyHorse 1.0, Kling 3.0, Wan 2.7, Seedance v2, Google Veo 3.1, MiniMax Hailuo, and ByteDance Dreamina.
Key Features
- Smart model routing: Automatically recommends the best model based on user intent, whether that is top Arena quality, multi-shot character identity, in-pass audio, cinematic motion, or fastest iteration speed
- Broad model coverage: Includes HappyHorse 1.0 (Arena #1), Kling 3.0 (Standard/Pro/4K), Wan 2.7 (open-weights with lip-sync), Seedance v2/1.5/1.0, Google Veo 3.1, MiniMax Hailuo 2.3, and ByteDance Dreamina 3.0
- Three generation modes: Supports text-to-video, image-to-video, and Veo's video-extend for appending new content to existing clips
- Per-model prompt guidance: Ships documented prompting patterns, parameter schemas, and pricing for each model so the user can fine-tune output
- Single CLI workflow: All models accessed through the same
runcomfy runcommand with consistent authentication and output handling - Audio-aware routing: Distinguishes between models with in-pass native audio (HappyHorse, Kling 3.0) and audio-driven lip-sync (Wan 2.7) to match audio requirements
Who is this for?
- Developers and creators who want to generate AI video without researching which model fits their use case
- Teams building video pipelines that need access to multiple models through a single CLI interface
- Content producers who need to switch between quality tiers, audio modes, or generation styles depending on the project
Same repository
prime-skills/runcomfy-agent-skills(25 items)
SKILL.md
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