動画・画像・音声のスキル

Analyze reference-image illumination and build accountable Blender lighting from shadow direction, shadow length, softness, exposed faces, environment fill, bounce, practical sources, and material response. Use for reference matching, daylight, interiors, exterior environments, product scenes, atmospheric lighting, or any task where lights must be physically and visually justified instead of added as arbitrary fill or rim lights.

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 images when the user names MiniMax or image-01/image-01-live. Use the default image skill when no provider is named.

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 images when the user names OpenAI, GPT Image, or a gpt-image model. Use the default image skill when no provider is named.

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。

Extract subtitles or a transcript from a YouTube URL and save normalized timestamped text locally. Use when the user wants the spoken content of a YouTube video as text.

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, edit, or composite images with Gemini/Nanobanana. Default for image requests without a named provider; do not override a different provider the user chose.

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。

Improve interface performance across loading speed, rendering, animations, images, and bundle size. Makes experiences faster and smoother.

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。

Fetches AI news from smol.ai RSS and generates structured markdown with intelligent summarization and categorization. Optionally creates beautiful HTML webpages with Apple-style themes and shareable card images. Use when user asks about AI news, daily tech updates, or wants news organized by date or category.

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 speech audio from text using Qwen3 TTS, or clone a voice from reference audio. Triggered when the user wants to convert text to speech, generate audio, read text aloud, or clone/mimic a voice. Supports multiple speakers, English and Chinese, and emotion/style control.

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。

Convert WeChat Official Account (微信公众号) articles to clean Markdown files with locally downloaded images.

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。

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

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 Guizang-style social card image sets, Live Photo motion cards, material-first Live Photo puzzle layouts, triple Live Photo collages, long-video-to-Live-Photo treatments, and WeChat official account cover pairs from articles, scripts, screenshots, product notes, subtitles, photos, or user-supplied videos. Use when the user asks for 小红书图文, Rednote/Xiaohongshu images, social cards, carousel images, 3:4 covers, Live Photo, 实况照片, 单视频实况拼图, 二宫格实况拼图, 三连实况拼图, 四宫格实况拼图, 微信公众号封面, WeChat 21:9 + 1:1 covers, Swiss Style, or magazine-style social images.

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 Xiaohongshu (XHS / RedNote) cover images using GPT Image 2 / Codex image generation first, with the legacy Gemini CLI as fallback. Triggers for cover generation: "生成封面", "小红书封面", "xhs封面", "制作封面", "帮我做张图", "XHS cover", "RedNote cover". Triggers for cover editing: "修改封面", "改一下封面", "上一张图基础上", "基于这张图调整", "不要重新做", "edit this cover". Triggers for style learning: "学习这个风格", "提取风格", "我想自定义风格", "这张图的风格", "learn this style", "extract style". Always trigger this skill when user mentions 小红书/XHS/RedNote together with 封面/cover/图片, OR when user uploads a reference image and asks about creating a similar style.

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。

Turns folders, codebases, websites, PDFs, documents, and research topics into source-grounded HTML documents, deterministic narrated videos, or complete learning courses; also publishes and revises collaborative HTML pages through the HTML Docs CLI, REST API, and MCP server.

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。

Connects Claude Code, Codex, Cursor, and other MCP hosts to Writingmate for model discovery, text comparison, image generation, and video generation with Seedance, Sora, Veo, Kling, PixVerse, and other available models.

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。

Overlay doctrine for the embedded-captions workflow — the caption MODEL (drop / rail / embed) and the rule that captions are an OVERLAY composited on top of the film, never a reserved bottom band you shift content up to avoid. Load when adding captions/subtitles to a talking-head or launch video, when deciding whether a phrase should be dropped, ride the verbatim rail, or be promoted to a scarce embedded climax, when laying out a composition that will carry captions (do NOT reserve a keep-out band), or when centering a composition on the true frame center under captions. Quotes the rail+embed model from embedded-captions and constraint

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。

Optimizes images for web performance using modern formats, responsive techniques, and lazy loading strategies. Use when improving page load times, implementing responsive images, or preparing assets for production deployment.

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。

Free AI-first short-form video publishing to TikTok, Instagram Reels, YouTube Shorts, X, and Facebook from AI agents through Taisly.

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。

Tạo một video MỚI cho series "so sánh / phân biệt kiến thức" của repo này — clip dọc TikTok/Reels/Shorts 30-40s, layout 3-zone cố định theo DESIGN.md, voiceover tiếng Việt sinh bằng VieNeu TTS (local), Edge TTS (miễn phí) hoặc Vbee TTS, dựng bằng HyperFrames. Dùng skill này khi người dùng nói "làm video so sánh X vs Y", "phân biệt X và Y", "thêm video mới vào series", "tạo video so sánh kiến thức", hoặc yêu cầu bất kỳ video nào theo đúng format sẵn có của repo (thư mục videos/<slug>/). KHÔNG dùng cho video ngoài format này (promo sản phẩm, video từ URL, slideshow, thêm phụ đề cho footage có sẵn).

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。

面向音频文件或视频中的音轨，处理语音边界定位、音频媒资信息探测、音频转码与码流封装适配、人声与背景声分离等目标。若对象和目标族已明确属于音频内容理解、音频转码、音频格式治理或音轨分离，但具体做法不确定，可先加载本 Skill 探索。

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。

MediaKit 是面向音视频与图像处理的专业工具集，覆盖视频剪辑与合成、音频处理、视频理解与增强、图像处理与内容理解等工作流。用户明确提出剪辑、拼接、裁剪、转场、滤镜、运镜、混音、提取字幕、语音转字幕、音视频处理、图片处理、视频分析或画质增强目标时，先加载本 Skill，再按对象和目标选择 audio、editing、image 或 video。不承担具体能力参数说明。

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。

面向视频文件的智能处理、媒资理解、画质治理与画质检测、抽帧、隐私保护、语音转字幕、字幕提取、字幕擦除、水印处理、精彩片段与高光拆条分析生成、剧情结构化与剧本整理、场景与语义分段、画面文字识别、视频转码转封装及抠像换脸等目标。若对象和目标族已明确属于视频增强、视频分析理解、视频内容结构化、从视频提取字幕、语音转字幕、视频字幕识别或擦除、视频隐私脱敏、视频媒资探测或分发适配，但具体能力不确定，可先加载本 Skill 探索。

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。

面向单张或批量图片的视觉处理、质量优化、内容理解与基础编辑目标，适用于图片尺寸缩放与体积治理、元信息探测、裁剪旋转翻转与圆角、颜色与锐化清晰度调整、负片、模糊与打码、水印、背景移除、文字识别、画质评估与智能裁剪等。若对象和目标族已明确属于图片优化、图片理解或图片隐私保护，但具体做法不确定，可先加载本 Skill 探索。

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。

Standardize a 2D animation baseline image with `/img2mo-std xxx.png/pos`. Use when preparing a character, creature, prop, or weapon baseline before motion generation, especially if the source image is too large, tightly cropped, lacks transparent action margin, has a white background, or later walk/attack/idle frames show clipping, overlap, scale popping, or inconsistent character size.

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 line ("a turbofan jet engine", "a mechanical watch", "an LVAD heart pump") into a photoreal, physics based, interactive 3D simulation of that machine in a single HTML file, plus a 20 to 30 second film to post it. Real proportions in metres, real materials (PBR metals, paints, polymers, glass), studio lighting with soft shadows, moving parts driven by a small solver that computes real numbers (thrust, torque, rpm, flow, pressure, efficiency), and modes to explode it, cut it open with clean section caps, x-ray it, slow it down, label it and break it. Use this whenever someone asks to build, simulate, visualise, explain or "show how X works" for any machine, engine, mechanism, device, instrument or piece of hardware, wants an interactive 3D model or a cutaway, or wants a video of a machine for a post, even if they never say "simulation" or "three.js".

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。