Media skills

Use when the user wants to teach / learn an English word as a video — turn a single English word into a self-contained HLS "supercut" lesson built from the mira video base. Stitches every season2 clip where the word is spoken (via the search-app API) into one .m3u8, prepended with a Claude-written bilingual word-intro card (word + IPA + 中文 gloss + usage, Volcano TTS) and appended with a 关注王建硕 CTA card. No MP4 burn. Triggers — "teach <word>", "讲讲 <word>", "学英语 <word>", "把 <word> 做成视频", "/wjs-teaching-english <word>".

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Use when the user has audio or video and wants a timestamped transcript (SRT) in the source language. Routes by source language — Chinese defaults to Volcano (豆包) ASR; other languages (Spanish, English, Portuguese, French, Italian, Japanese, Korean, etc.) use OpenAI Whisper API with word-level timestamps and self-assembled cues. Outputs SRT with punctuation-bounded cues capped for on-screen reading. Triggers — "转写", "转成字幕", "做 SRT", "transcribe", "make subtitles", "speech to text", "出字幕".

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Use when the user has a video + an SRT and wants the subtitles either burned into the pixels (libass, always-visible) or soft-muxed as a togglable track. Also handles the final composite step for the localization pipeline — burn subs, mix a dub track, and keep the original audio as a low-volume bed, all in ONE ffmpeg encode (no cascade). Verifies libass availability and auto-downloads a static evermeet ffmpeg build when Homebrew's stripped binary lacks it. Triggers — "烧字幕", "硬字幕", "burn subtitles", "burn-in subs", "embed subtitle", "soft mux SRT", "把字幕烧进视频", "做最终合成".

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Thin orchestrator for the end-to-end video localization pipeline. Routes to the four focused sub-skills — /wjs-transcribing-audio, /wjs-translating-subtitles, /wjs-dubbing-video, /wjs-burning-subtitles. Use when the user asks for full localization in one go ("帮我把这个西班牙语视频做成中文字幕+配音", "translate and dub this video", "做完整的本地化"). For any individual step (just transcribe, just translate, just dub, just burn), invoke the sub-skill directly — it's faster and the boundary is cleaner.

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Use when the user has a video's SRT subtitle file — a 王建硕 monologue / 讲解, OR a 对谈 / 访谈 where 王建硕 is one of the speakers — and wants to mine it into multiple standalone 微信公众号 articles, one article per distinct topic. Triggers — "把这个视频写成文章", "从字幕里挖文章", "这个 SRT 能写几篇", "把对谈写成文章", "/wjs-mining-articles <srt>".

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Use when the user has one or more video clips and wants to add post-production on top — AI-generated cover as first frame, HTML/CSS captions synced to SRT, kinetic illustration overlays at hook moments, chapter chips, end-card CTA, or any other timed motion graphics. Most often used as the downstream of `/wjs-segmenting-video` — pick up where that skill stopped (raw cropped clip + per-clip SRT) and produce the upload-ready MP4. Backed by HyperFrames so everything compiles to ONE final encode — no cascade of re-encodes. Triggers — "加封面", "加字幕", "加动画", "加 CTA", "做后期", "post-production", "title card", "kinetic captions", "end card".

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Use when the user wants text turned into an audiobook / read aloud — they give a passage, a file, a URL, or a VoiceDrop article and want an mp3 narration with expressive voices. Triggers — "做成有声书", "朗读出来", "读给我听", "念出来", "read aloud", "/wjs-voicedrop-reading-aloud".

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Use when the user has an SRT (or transcript text) in one language and wants it translated to another, with punctuation-bounded re-segmentation so cues end at real sentence breaks. Simplified Chinese (zh-CN) and English (en) are first-class targets; other targets follow the same rules. Outputs a target-language SRT or bilingual SRT — no audio, no burn-in. Triggers — "翻译字幕", "翻成中文", "translate this SRT", "中英双语字幕", "把这个 SRT 翻译成 X", "bilingual subtitles".

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Use when the user has 2+ recordings of the same event (each with a `.sync.json` sidecar from wjs-syncing-multicam) and wants them combined into a single MP4 — auto-switching between cams second-by-second on audio energy, with optional picture-in-picture inset. Triggers — "auto-edit multicam", "做个剪辑", "切几个机位", "把这几个视频合成一个", "combine these angles", "PiP overlay".

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ポッドキャストの音声取得・文字起こし・まとめを行う統合スキル。「ポッドキャストまとめて」「音声配信をダウンロード」「Podcastの内容を教えて」で使用。

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音声ファイルをテキストに文字起こしするスキル。mp3/wav/m4a/ogg/flac形式に対応。whisperベースのtranscriber_toolを使用し、tiny/base/small/medium/largeの5つのモデルから精度と速度のバランスを選択可能。長時間音声はバックグラウンド実行に対応。「文字起こしして」「音声をテキストに変換して」で使用。

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内容に応じて最適な図表形式を自動選択し、ローカルで画像生成（Pillow）またはコード出力（Mermaid/PlantUML）。フローチャート、アーキテクチャ図、階層図などを生成。資料作成、システム設計時に使用。

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YouTube動画のURLから字幕を取得し、内容をノートにまとめる。「YouTube動画をまとめて」「この動画をノートにして」と言われたら使う。

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Compose text-safe responsive hero media.

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Read and summarize text-based file types only. Prefer read_file for text formats; use execute_shell_command for type detection when needed. PDF/Office/images/archives are handled by other skills.

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像素级 750px 图片转代码与切图工作流。当 Codex 需要把当前选中的 UI 图片、截图、App/Web 设计稿、Figma 图片导出稿或设计长图转换为代码，并输出独立透明 PNG 切图资源时使用。适用于严格 1:1 等比例还原、画板宽度精确 750px、禁止自动排版优化、文本可编辑、简单图形原生矢量/代码化、图标和位图独立透明 PNG 提取，以及按矢量层、文本层、位图/图标切图三类模块独立验收的任务。

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Suede AI marketing video production: format choice, scripts, storyboards, AI generation and avatar plans with consent and rights gates, programmatic rendering, edit decision lists, reverse-engineered pacing, platform export specs, and YouTube and video search optimization (titles, chapters, transcripts, VideoObject schema). Use when scripting, generating, editing, or packaging a marketing video, or building a repeatable video pipeline. NOT FOR: the social calendar or post strategy (use suede-social), bridging a clip to a long-form guide (use suede-clip-to-guide), paid ad concepts (use suede-ad-creative), still images (use suede-image), or publishing unapproved media.

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Suede AI marketing image production: choosing generation, editing, templates, or real screenshots; prompts and layout specs; hero, social, banner, directory, and Open Graph images; product mockups from real UI; export sizing, compression, and image SEO (alt text, file names, dimensions, structured data). Use when the user needs a marketing image or an image-production workflow. NOT FOR: paid-ad creative systems (use suede-ad-creative), video (use suede-video), app-store screenshots and listing strategy (use suede-aso), or social post strategy (use suede-social).

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Use when the user wants a local file or image sent back, such as "send me the file" or "发给我".

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Convert 2D orthographic wireframe PNG drawings to 3D Blender models exported as glTF/GLB. Use this skill whenever the user provides wireframe images (technical drawings, line drawings, orthographic views, side/front/back panels) and wants to generate a 3D model, mesh, or .glb file. Triggers on phrases like "convert this wireframe to 3D", "make a 3D model from these drawings", "build a model from this wireframe", "generate GLB from these views", or any image-to-3D-mesh request involving line drawings. Make sure to use this skill even if the user does not explicitly say "wireframe" — also covers "orthographic views", "technical drawings", "line drawings of objects", "front and side views". Requires a configured Blender MCP backend (official or ahujasid) and Python with opencv-python, numpy, scipy installed.

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Render Blender scenes with the right engine and settings — Cycles for photoreal, EEVEE for speed/stylized, sample counts, denoising (OptiX/OIDN), light path tuning, color management (AgX/Filmic), file output (PNG/EXR/MP4), animation rendering. Use whenever the user asks to "render this", "produce an image", "render a frame / animation", "make a final image", "save the render", or any output-generation request. Make sure to use this skill even if the user does not say "render" — also covers "make a picture", "save the result", "produce a final image", "export as image".

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Convert 2D orthographic wireframe PNG drawings to 3D Blender models exported as glTF/GLB. Use this skill whenever the user provides wireframe images (technical drawings, line drawings, orthographic views, side/front/back panels) and wants to generate a 3D model, mesh, or .glb file. Triggers on phrases like "convert this wireframe to 3D", "make a 3D model from these drawings", "build a model from this wireframe", "generate GLB from these views", or any image-to-3D-mesh request involving line drawings. Make sure to use this skill even if the user does not explicitly say "wireframe" — also covers "orthographic views", "technical drawings", "line drawings of objects", "front and side views". Requires the Blender MCP addon to be running (port 9876) and Python with opencv-python, numpy, scipy installed.

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Best practices for Remotion - Video creation in React

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MrBeast（Jimmy Donaldson）的内容创造操作系统。基于泄露的36页内部培训手册、 6个深度播客、决策记录和外部批评的深度调研，提炼6个核心心智模型、8条决策启发式、 完整的标题/缩略图/Hook/节奏公式，和4个可运行的内容分析脚本。 激活后沉浸式扮演MrBeast，直接以「我」的视角给出内容创作建议。 当用户提到「用MrBeast的视角」「MrBeast会怎么做」「Beast模式」「mrbeast perspective」时使用。 即使用户只是说「视频CTR怎么提升」「标题不够吸引人」「retention曲线怎么优化」「缩略图要改吗」也应触发。 不要在用户只是说「内容创作建议」「怎么做内容」等一般性问题时触发——只在涉及视频优化、标题/缩略图/Hook/留存率等YouTube方法论时激活。

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