video▌

Use this skills whenever you are dealing with Remotion code to obtain the domain-specific knowledge.

Structured prompting techniques for generating high-quality videos across multiple AI platforms. \n \n Covers eight video generation models (Veo, Seedance, Wan, Grok, Kling, Runway, Pika, Sora) with model-specific optimization tips \n Provides a reusable prompt formula combining shot type, subject, action, setting, lighting, style, and technical parameters \n Includes reference tables for shot types, camera movements, lighting keywords, and visual aesthetics with practical examples \n Demonstrat

Programmable video production with Remotion, scene planning, asset orchestration, and automated rendering for brand-consistent content. \n \n Guides video creation through five structured steps: spec definition, scene outlining, asset preparation, React composition implementation, and QA rendering \n Supports multiple aspect ratios (16:9, 1:1, 9:16) and tones (fast, calm, cinematic) with integrated narration, visuals, and animations \n Includes scene templates, asset checklists, and Remotion com

AI-assisted editing for real footage. Not generation from prompts. Editing existing video fast.

Download videos from YouTube and other platforms in multiple formats and quality levels. \n \n Supports quality selection from 480p to 4K, with format options including MP4, WebM, and audio-only MP3 \n Handles single videos, playlists, and batch downloads of multiple videos in one command \n Preserves metadata including title, description, and thumbnail with organized file naming \n Respects copyright and fair use; intended for personal, educational, and archival purposes only \n

Generate videos with 40+ AI models including Veo, Seedance, Wan, and Grok via inference.sh CLI. \n \n Supports text-to-video, image-to-video, avatar animation, lipsync, video upscaling, and foley sound generation across multiple model families \n Access to Google Veo (3.1, 3, 2), ByteDance Seedance, Falai Wan, xAI Grok, and economical alternatives like P-Video and WAN models \n Includes utility tools for video upscaling, sound effect generation, and multi-clip merging with transitions \n Require

Help YouTubers/UP主 prepare video content: write structured scripts (口播稿), blog posts, and platform-specific publishing materials.

Convert still images to animated videos with model selection, motion prompting, and camera control. \n \n Six models available (Wan 2.5 i2v, Seedance, Fabric, Grok) with guidance on when to use each based on content type and motion style \n Motion prompting framework covering camera movement (pan, dolly, orbit, crane), subject motion (natural elements, character, liquid), and atmospheric effects \n Best practices emphasizing subtle motion over dramatic action, with structured prompt templates an

Programmatic video creation with React components, animations, and audio synchronization. \n \n Compose videos using React components with frame-based animation via useCurrentFrame() and interpolate() for precise timing and motion control \n Supports audio integration (MiniMax TTS for voice cloning, Edge TTS for free synthesis) with automatic scene synchronization via audioConfig.ts \n Includes 3D video capabilities via React Three Fiber for product demos, character animation, and data visualiza

Programmable video production with Remotion, scene planning, asset orchestration, and validation gates for brand-consistent automated content. \n \n Generates videos from text instructions through a structured five-step workflow: spec definition, scene outlining, asset preparation, Remotion composition implementation, and QA rendering \n Supports multiple aspect ratios (16:9, 1:1, 9:16) and video lengths (30s–90s) with configurable tone, narration style, and language \n Includes scene templates,