video▌

Domain-specific knowledge base for building videos with Remotion and React. \n \n Covers 30+ rule files spanning animations, audio, assets, 3D content, charts, text, transitions, and composition management \n Includes specialized guidance for captions, FFmpeg operations, audio visualization, and sound effects integration \n Provides patterns for dynamic metadata calculation, media inspection (duration, dimensions, frame extraction), and parametrizable compositions \n Supports advanced features l

This skill conducts pure research for YouTube video topics. Execute all steps to produce actionable insights that identify content gaps and analyze competitors. This skill focuses ONLY on research - it does not generate titles, thumbnails, or hooks.

Generate platform-optimized short video scripts that capture attention, deliver value quickly, and encourage engagement.

Platform-specific video ad dimensions, durations, and creative frameworks for TikTok, Instagram, YouTube, Facebook, and LinkedIn. \n \n Covers exact specs for five platforms: TikTok and Instagram (9:16 vertical), YouTube (6s bumper to skippable formats), Facebook (1:1 or 4:5 square), and LinkedIn (1:1 or 16:9) \n Includes AIDA framework (Attention, Interest, Desire, Action) with timing breakdowns and hook techniques for the critical first 3 seconds \n Provides caption requirements and safe-zone

Complete guide for scripting, producing, and assembling explainer videos via inference.sh CLI. \n \n Provides three script formulas (Problem-Agitate-Solve, Before-After-Bridge, Feature Spotlight) with timing breakdowns, word counts, and pacing rules for 30–120 second videos \n Covers scene generation via video AI models, voiceover production with TTS, music ducking, and caption integration through a multi-step assembly pipeline \n Includes practical tables for pacing (120–170 wpm by content type

Perception + memory + actions for video, live streams, and desktop sessions.

使用字节跳动 Seedance-1.5-pro 模型 (doubao-seedance-1-5-pro-251215) 根据文本或图片生成视频。

Orchestrates video generation across three engines, selecting the best one based on requirements and available resources.

This skill provides guidance for video processing tasks involving frame-level analysis, event detection, and motion tracking using computer vision libraries like OpenCV. It emphasizes verification-first approaches and guards against common pitfalls in video analysis workflows.

Core Remotion knowledge lives in .claude/skills/remotion-official/ (synced from the official remotion-dev/skills repo). This file covers toolkit-specific patterns only.