Agent skill · Backend & API

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>".

jianshuogithub.com/jianshuoGitHub ↗
claude-codecodexMIT
Install
npx skills add jianshuo/claude-skills --skill wjs-teaching-english --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 3 KB
Bundled scripts: none
Path: wjs-teaching-english/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 112
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 1. **Get the word.** A single English word (or short phrase). If the user gave a sentence, pick the target word. 2. **Write the mini-lesson JSON.** YOU (Claude) author it — no dictionary API. Keep it accurate and con

What's inside
Steps it walks through
  1. Prerequisites (check once)
  2. Steps
  3. Notes
Commands it runs
cd /Users/jianshuo/code/mira/search-app
python3 scripts/build_lesson.py --word love --lesson /tmp/lesson.json
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About this skill
What does the wjs-teaching-english skill do?

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>".

How do I install it?

Run `npx skills add jianshuo/claude-skills --skill wjs-teaching-english --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From jianshuo/claude-skills, a repository with 112 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going