mcpbeat

Wjs Teaching English

jianshuo/wjs-teaching-english

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>".

838 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
112
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/jianshuo/claude-skills --skill wjs-teaching-english

The instruction itself

4 sections, as written by the author

Teach an English word as a video supercut

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.

Prerequisites (check once)

  • ffmpeg / ffprobe on PATH (Homebrew).
  • Python 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).

  • The deployed search-app at 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).

Steps

  • 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.

Notes

  • If the word has no clips, the script exits with "no clips match" and writes

nothing — tell the user and suggest a more common word.

  • Intro/CTA are encoded to the FIRST supercut segment's resolution/codec/fps so

the first discontinuity needs no decoder re-init (avoids bufferAppendError).

  • To play locally: ffplay search-app/out/<word>.m3u8, or serve the out/

folder over HTTP and open in any HLS player (Safari plays .m3u8 natively).

How to use it

Copy the folder

Take jianshuo/wjs-teaching-english from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference pip. Without those the skill loads but fails at the first command.