動画・画像・音声のスキル

生成短视频脚本和分镜。输入产品/主题描述、目标受众、时长，输出完整脚本+分镜结构（JSON/YAML）。支持多种模板：痛点-解决、反转剧情、before-after。触发词：视频脚本、短视频文案、分镜、storyboard、video script。

日本語の概要は準備中です。原文の説明を表示しています。

Use when you build or change a layout, page, section, navigation, table, form or image - mobile-first rules, breakpoints and the overflow traps.

日本語の概要は準備中です。原文の説明を表示しています。

Edit, trim, cut, caption, retime, combine, or export video, audio, and image files through Cassette. Use this skill whenever the user asks to change, preview, or render media in the project, even if they never say "Cassette" or name a tool, for example "trim the intro off demo.mp4", "add subtitles to this clip", "make a 30-second cut", "put a title on it", "export the video". Drives the tools of the `cassette` MCP server (oh-my-cassette), which relays a running conversation with the Cassette editing agent.

日本語の概要は準備中です。原文の説明を表示しています。

ASCII 视频：将视频/音频转换为彩色 ASCII MP4/GIF。

日本語の概要は準備中です。原文の説明を表示しています。

Manim CE animations: 3Blue1Brown math/algo videos.

日本語の概要は準備中です。原文の説明を表示しています。

Manim CE 动画：3Blue1Brown 数学/算法视频。

日本語の概要は準備中です。原文の説明を表示しています。

ASCII video: convert video/audio to colored ASCII MP4/GIF.

日本語の概要は準備中です。原文の説明を表示しています。

ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.

日本語の概要は準備中です。原文の説明を表示しています。

视频与播客文字提取：下载音视频后调用夸克网盘 Skill 云端取稿，再由模型轻校对。 支持单条和批次、已上传网盘文件、持久对应关系与中断恢复。用于“逐字稿、转文字、提取文案” 或附音视频链接的提取请求。默认不运行本地 ASR；不承诺说话人分离、句级时间轴或 SRT。

日本語の概要は準備中です。原文の説明を表示しています。

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG/vector/code-native assets, extending an established icon or logo system, or building the visual directly in HTML/CSS/canvas.

日本語の概要は準備中です。原文の説明を表示しています。

Designs Amazon-compliant main product images and the 7 secondary image types (Infographic / Multi-angle / Detail Shot / Lifestyle / Variants / What's in Box / Size Reference) — with platform-mandatory main-image rules, conversion-rate-tuned secondary types per product category, and multi-image consistency anchored to the main image URL. Use when the user says "Amazon main image", "亚马逊主图", "product main image", "white background product image", "Amazon listing image", "亚马逊副图", "secondary images", "product carousel images", or any request for the 1:1 product image suite that lives on the Amazon detail page carousel. For A+ Content / detail-page modules (21:9 Hero Banner and 3:2 module layouts), see the `product-shots-detail-page` skill.

日本語の概要は準備中です。原文の説明を表示しています。

Unified image-generation engine for the product-shots ecosystem. Dispatches to the right model family (OpenAI gpt-image-2 / Gemini gemini-3-pro-image-preview Nano Banana Pro) with one parameterised script for text-to-image and image-to-image. Primary backend: OmniMaaS / Cloubic gateway (https://api.omnimaas.com/v1); also supports any OpenAI-SDK-compatible gateway via fallback env vars. Auto-resizes oversized reference images to prevent edge-proxy timeouts. Use when the user says "generate an image", "make a picture", "create a visual", "render this", "edit this image", "做一张图", "生成图片", "改这张图" — or when invoked as the image-generation backend by another product-shots skill (main-image / detail-page / ad-creative / social-post / multi-angle). NOT a creative-direction skill: takes a prompt + optional reference images, returns a file path.

日本語の概要は準備中です。原文の説明を表示しています。

Generates 9 consistent multi-angle fashion-editorial portraits from a single reference image, with locked identity (face/skin/eyes), preserved hairstyle structure, faithful outfit/accessories, and a unified photography style across all frames. Use when the user says "multi-angle", "multi-angle shots", "九连拍", "多角度九连拍", "9-angle portraits", "fashion lookbook", "model consistency series", "consistent portraits from one photo", "generate 9 angles of this model", or "e-commerce model multi-angle pack". Part of the product-shots ecosystem for cross-border e-commerce apparel and accessory listings.

日本語の概要は準備中です。原文の説明を表示しています。

Expert guide for reverse-engineering UI/UX interactions from screen-recordings and spatial video, extracting animation spring curves, and generating pixel-perfect Tailwind CSS v4 and Framer Motion code / Panduan ahli rekayasa balik interaksi UI/UX dari rekaman layar dan video spasial, ekstraksi kurva pegas animasi, dan pembuatan kode presisi Tailwind CSS v4 serta Framer Motion.

日本語の概要は準備中です。原文の説明を表示しています。

Expert guide for Ultra-Low Latency Conversational Voice AI (<300ms), WebRTC bidirectional streaming, OpenAI Realtime API, Gemini Multimodal Live Audio, LiveKit Agents, and Semantic VAD / Panduan ahli AI suara percakapan real-time berlatensi ultra-rendah.

日本語の概要は準備中です。原文の説明を表示しています。

Expert guide for Web Performance optimization: Core Web Vitals (LCP, INP, CLS), bundle analysis, image optimization, rendering strategies, and Lighthouse score improvement / Panduan ahli untuk optimasi performa web: Core Web Vitals (LCP, INP, CLS), analisis bundle, optimasi gambar, strategi rendering, dan peningkatan skor Lighthouse.

日本語の概要は準備中です。原文の説明を表示しています。

Expert guide for file uploads (S3, R2, Supabase Storage), presigned URLs, image/video processing, CDN optimization, and media pipeline architecture / Panduan ahli untuk upload file (S3, R2, Supabase Storage), presigned URL, pemrosesan gambar/video, optimasi CDN, dan arsitektur pipeline media.

日本語の概要は準備中です。原文の説明を表示しています。

Master guide for reverse-engineering UI/UX interactions from screen-recordings and spatial video, extracting animation spring curves, and generating pixel-perfect Tailwind CSS v4 and Framer Motion code / Panduan utama rekayasa balik interaksi UI/UX dari rekaman layar dan video spasial, ekstraksi kurva pegas animasi, dan pembuatan kode presisi Tailwind CSS v4 serta Framer Motion.

日本語の概要は準備中です。原文の説明を表示しています。

Expert guide for AI image generation (Flux, DALL-E, Stable Diffusion), video generation (Sora, Runway), voice synthesis (ElevenLabs TTS), and speech recognition (Whisper STT) integration / Panduan ahli integrasi AI generasi gambar, video, suara (TTS), dan pengenalan suara (STT).

日本語の概要は準備中です。原文の説明を表示しています。

Expert guide for creating high-converting application promotional media — App Store & Google Play screenshots, social promo graphics, dynamic Open Graph banners, Remotion programmatic video teasers, and AI promo showcases / Panduan ahli pembuatan media promosi aplikasi — mockup screenshot App Store & Google Play, kartu promo media sosial, banner Open Graph dinamis, video teaser terprogram Remotion, dan showcase promo berbasis AI.

日本語の概要は準備中です。原文の説明を表示しています。

Run 150+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok

日本語の概要は準備中です。原文の説明を表示しています。

Use when a task names Krea or Krea 2, when choosing between Krea's hosted API and its open weights, when wiring the Krea 2 Image or Krea 2 Style Reference API nodes, when building with FLUX.1 Krea Dev, when someone asks about Krea Realtime or realtime or streaming video generation, or when a Krea 2 job needs ControlNet, instruction editing, identity preservation or per-layer conditioning control that core ComfyUI does not provide.

日本語の概要は準備中です。原文の説明を表示しています。

Drive a local ComfyUI install for image, video, and audio generation via its HTTP API. Use WHENEVER generating, rendering, or editing images/video/audio/hero assets with ComfyUI, Z-Image, Ideogram, FLUX, LTX, Wan, or when building, parameterizing, or running ComfyUI workflows. Covers the API client, workflow JSON format, model patterns, dual/multi-GPU placement, the MCP driver, in-graph Claude nodes, and VRAM coordination.

日本語の概要は準備中です。原文の説明を表示しています。

Turn one idea into platform-native content for X, LinkedIn, TikTok, YouTube, newsletters. Use when the user wants social posts, threads, scripts, or content calendars.

日本語の概要は準備中です。原文の説明を表示しています。