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>".
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Turn one English word into a self-contained HLS lesson:
intro.ts (word /IPA/ · 中文 gloss · usage + Volcano TTS)
⋯ EXT-X-DISCONTINUITY
[supercut] every season2 clip where the word is spoken (search-app /api/playlist, COS URLs)
⋯ EXT-X-DISCONTINUITY
cta.ts (关注王建硕 + Volcano TTS)
= search-app/out/<word>.m3u8
No MP4 is burned — only the two cards are rendered as tiny .ts, re-encoded to
match the supercut's codec so they play in any HLS player.
ffmpeg / ffprobe on PATH (Homebrew).volcengine SDK (declared in mira requirements.txt, used for TTS):
python3 -c "import volcengine". If missing, ask the user to allow
pip3 install volcengine==1.0.58 (it's a pinned repo dependency).https://search-app-three-kappa.vercel.app
(default). Override with SEARCH_APP_BASE=http://localhost:3000 if running
locally (needs Node ≥ 23.6 + npm start).Get the word. A single English word (or short phrase). If the user gave a sentence, pick the target word.
Write the mini-lesson JSON. YOU (Claude) author it — no dictionary API.
Keep it accurate and concise. Save to a temp file, e.g. /tmp/lesson.json:
{
"word": "love",
"ipa": "/lʌv/",
"pos": "v. / n.",
"gloss": "爱，热爱",
"usage": "下面是它在真实电影里的说法",
"tts_text": "love. 爱。"
}
tts_text is read aloud over the intro card — keep it to the word + a
short 中文 gloss (Volcano reads mixed English/中文 fine).usage is one short line shown on the card (≤ ~20 chars renders best at
low resolutions).Build it:
cd /Users/jianshuo/code/mira/search-app
python3 scripts/build_lesson.py --word love --lesson /tmp/lesson.json
Useful flags: --speaker zh_female_qingxin (default), --limit 300 (max
clips), --no-tts (silent cards), --base <url>, --out <dir>.
Report the printed output path (search-app/out/<word>.m3u8) and the
clip count. The .m3u8 plus its sibling <word>.intro.ts / <word>.cta.ts
are the deliverable; out/ is git-ignored.
bufferAppendError).ffplay search-app/out/<word>.m3u8, or serve the out/
folder over HTTP and open in any HLS player (Safari plays .m3u8 natively).まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
王建硕的思维框架与表达方式。基于 7 份深度调研（约 100 万词英文博客 + 约 109 万字中文博客， 2002–2022，全部一手）提炼出 7 个核心心智模型、10 条决策启发式和完整的双语表达 DNA。 用途：以王建硕的身份和声音写作、回应、思考——他平实、诚恳、好奇，爱用家常比喻和自造词， 在具体和抽象之间反复架梯子，从不写自己没亲身验证过的东西。 当用户提到「用王建硕的视角」「王建硕会怎么看」「王建硕模式」「像王建硕一样写」 「Jian Shuo Wang perspective」「切换到王建硕」时使用。 即使用户只是说「帮我用王建硕的角度想想」「如果是王建硕会怎么写这篇」也应触发。 一旦激活，本次对话后续所有回应都保持王建硕身份，直到用户明确说「退出」—— 不需要每轮重新点名。 不适用：用户要的是关于王建硕本人的客观介绍 / 事实查询（「王建硕是谁」「他哪年创业的」）， 那种问题正常回答即可，不要进入角色扮演。
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 the user asks to audit what's wrong with a project, "make it right", "看看项目出了什么问题", "为什么用户的需求还没上线", "为什么没提交App Store", "为什么没新build", or wants a holistic state-of-the-project check covering unmerged branches, stalled PRs, failed GitHub Actions, stale builds, plan drift (TODOS.md / ROADMAP), unreleased commits, and log errors. Runs read-only investigation, presents a grouped checklist, fixes only after explicit user confirmation. Aware of the Cathier iOS app workflow (Xcode + fastlane + auto-merge @claude PRs from in-app feedback).
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 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".
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 the user complains about spam on his X/Twitter posts — 同城面付 / 寻固炮 / 线下上门 / 免费破处 这类引流号在他推文下刷的 emoji 垃圾回复 — and wants them removed. Covers the last 7 days (X recent-search window). Triggers — "把这些spam删掉", "清理X垃圾回复", "推文下面好多引流号", "clean spam replies", "/wjs-cleaning-spam".
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 the user wants a 王建硕-style WeChat article (article.md) turned into a narrated short MP4 video — TTS voiceover via 火山引擎 Volcano TTS, HyperFrames CSS/GSAP animation per scene, subtle SFX, abstract watercolor background, full pipeline rendering to 1080×1920 portrait MP4 (30-90s). Triggers — "把这篇文章做成视频", "做一个解说视频", "讲解视频", "/wjs-converting-text-to-video".
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 migrating a WordPress site to a Hugo static site on GitHub Pages from a WXR export (.xml) plus the wp-content/uploads folder — preserving /archives/<id>/ URLs, localizing images, and deploying via GitHub Actions. Triggers — "把 WordPress 迁成 Hugo", "wordpress 转静态站", "migrate WordPress to Hugo", "WXR to Hugo", "publish WordPress to GitHub Pages", "/wjs-converting-wp-to-hugo".
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。