Video Processing

Expert on integrating Shelby Protocol decentralized storage into applications. Helps with use case evaluation, architecture design, migration strategies, cost optimization, performance tuning for video streaming, AI training, data analytics, content delivery, and read-heavy workloads. Triggers on keywords integrate Shelby, decentralized storage integration, video streaming storage, AI training data, data analytics storage, migration to Shelby, storage architecture, content delivery, Shelby use case.

Build conversational AI agents using Vercel AI SDK + OpenRouter. Use when creating Next.js frontends with streaming UI, tool calling, and multi-provider support.

Build conversational AI agents using Pydantic AI + OpenRouter. Use when creating type-safe Python agents with tool calling, validation, and streaming.

Breaks down trading ideas into component parts for systematic Pine Script implementation. Use when analyzing trading concepts, decomposing strategies, planning indicator features, or extracting ideas from YouTube videos. Triggers on conceptual questions, "how would I build", YouTube URLs, or video analysis requests.

Expert in Expo SDK 54+ development workflows, EAS Build, EAS Update, native tabs, Expo Router v6, expo-video, expo-audio, dev clients, expo-cli commands, app configuration, and deployment strategies. Activates for expo, expo go, eas build, eas update, expo config, app.json, eas.json, expo dev client, expo prebuild, expo eject, over-the-air updates, expo doctor, expo install, managed workflow, bare workflow, expo router, native tabs, liquid glass.

동영상에서 자막을 자동 생성하고 발표자료 기반으로 교정하는 스킬. "자막 생성", "영상 자막", "STT", "subtitle" 요청에 사용. mlx-whisper로 추출 → 중복 정리 → 발표자료 기반 교정까지 자동화.

Generates educational video scripts with personality-specific styles (GMTK, Fireship, Chilli) while enforcing strict anti-AI-slop writing rules

Creative director for educational video content. Generates scene-by-scene narrative direction specifying character actions, emotions, visual metaphors, and storytelling flow without technical implementation details.

Expert React video scene component creator for educational content. Builds production-grade, visually distinctive components using framer-motion animations, pixel-precise positioning, and optimized performance patterns. Follows strict component format with React.memo, threshold-based state updates, and module-level definitions. Outputs self-contained TSX components with proper timing sync, 60fps performance, and comprehensive reference-based implementation.

Orchestrates end-to-end video generation through sequential workflow steps (audio, direction, assets, design, coding). Activates when user requests video creation from a script, wants to resume video generation, mentions "create video", "generate video", or "video workflow", requests running a specific step (audio, direction, assets, design, coding), asks to "create audio", "generate direction", "create assets", "generate design", or "code video components", or wants to resume a video. Manages workflow state tracking and parallel scene generation.

将视频脚本转换为更适合实际录制的口语化表达，去除书面化语言，增加自然感和亲和力。当用户提到"视频脚本"、"录制"、"口语化"、"自然一点"、"像说话一样"、"太书面了"时使用此技能。

快速生成2-3个视频脚本大纲方案，包含标题建议、缩略图设计建议和完整的结构设计。当用户提到"视频大纲"、"视频脚本"、"视频策划"、"拍视频"、"视频内容"时使用此技能。

Download YouTube video transcripts when user provides a YouTube URL or asks to download/get/fetch a transcript from YouTube. Also use when user wants to transcribe or get captions/subtitles from a YouTube video.

Guide for video analysis and frame-level event detection tasks using OpenCV and similar libraries. This skill should be used when detecting events in videos (jumps, movements, gestures), extracting frames, analyzing motion patterns, or implementing computer vision algorithms on video data. It provides verification strategies and helps avoid common pitfalls in video processing workflows.

Guidance for extracting text-based game commands, moves, or inputs from video recordings using OCR and frame analysis. This skill applies when extracting user inputs from screen recordings of text-based games (Zork, interactive fiction), terminal sessions, or any video where typed commands need to be recovered. It covers OCR preprocessing, region-of-interest extraction, domain-aware validation, and deduplication strategies.

This skill provides guidance for video analysis and processing tasks using computer vision techniques. It should be used when analyzing video frames, detecting motion or events, tracking objects, extracting temporal data (e.g., identifying specific frames like takeoff/landing moments), or performing frame-by-frame processing with OpenCV or similar libraries.

This skill provides guidance for extracting text commands, moves, or typed input from video recordings using OCR. It applies when extracting gameplay commands (e.g., Zork), terminal sessions, or any text-based interactions captured in video format. Use this skill when processing videos of text-based games, terminal recordings, or any scenario requiring OCR-based command extraction from screen recordings.

Transform long-form content into 15+ platform-ready assets. One article becomes threads, carousels, audiograms, video scripts, quizzes, discussion prompts, and more.

Use when implementing real-time features requiring reliability, especially LLM streaming. Applies AnyCable patterns for message delivery guarantees, presence tracking, and Action Cable migration.

Use when building Apache Spark applications, distributed data processing pipelines, or optimizing big data workloads. Invoke for DataFrame API, Spark SQL, RDD operations, performance tuning, streaming analytics.