Agent skill

Wjs Teaching English

by jianshuo in jianshuo/claude-skills

A skill your agent uses 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.

MITAuto-check passedMedia & Creative

Install Wjs Teaching English

skills CLI
$ npx skills add jianshuo/claude-skills --skill wjs-teaching-english -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jianshuo/claude-skills wjs-teaching-english --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jianshuo/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/wjs-teaching-english .claude/skills/wjs-teaching-english && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
wjs-teaching-english
GitHub stars
131
Token cost
~809 tokens
SKILL.md length
291 words
Files
1
Skills in repo
38
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses 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.

  • Works in 4 steps: Get the word. A single English word (or… → Write the mini-lesson JSON. YOU (Claude)… → Build it → …
  • /wjs-teaching-english <word
  • SKILL.md covers Prerequisites (check once), Steps and Notes
  • Calls python3, pip3 and npm; reaches search-app-three-kappa.vercel.app

What it does

Wjs Teaching English is an agent skill from jianshuo/claude-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".

Its SKILL.md is about 810 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Media & Creative, covering Text to speech and voice and Translation. The repository describes itself as: 13 Claude Code skills for video production (transcribe / translate / dub / multicam / subtitles / reframe) + WeChat publishing. Compatible with Claude Code, OpenAI Codex CLI… The licence is MIT.

When your agent uses it

  • /wjs-teaching-english <word
  • Tasks that involve Text to speech and voice
  • Tasks that involve Translation

Example prompts

  • “supercut”
  • “teach <word”
  • “讲讲 <word”
  • “/wjs-teaching-english”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Get the word. A single English word (or short phrase). If the user gave
  2. Write the mini-lesson JSON. YOU (Claude) author it — no dictionary API.
  3. Build it
  4. Report the printed output path (search-app/out/.m3u8) and the

What it can do on your machine

Read from SKILL.md and the folder at commit b2690f5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3
    • pip3
    • npm

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • search-app-three-kappa.vercel.app

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Wjs Teaching English loads about 809 tokens when it runs. Until then it costs about 136 tokens; SKILL.md has 291 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~136
When it runs · the whole SKILL.md, loaded when a task matches
~809

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jianshuo/claude-skills at commit b2690f5, republished under its MIT licence (© jianshuo). 291 words, ~809 tokens.

Download SKILL.mdSave it as .claude/skills/wjs-teaching-english/SKILL.md (or your agent's skills folder).
name
wjs-teaching-english
description
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>".

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 concise. Save to a temp file, e.g. /tmp/lesson.json:

    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).
  3. Build it:

    bash
    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>.

  4. 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).

© jianshuo, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in wjs-teaching-english of jianshuo/claude-skills.

Open the folder on GitHubat commit b2690f5

Compare with similar skills

Wjs Teaching English next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Wjs Teaching English compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Wjs Teaching English this skilljianshuo/claude-skills131—~809Automated safety check: PassMIT
Edu Chem Videowy51ai/edulab1.4k—~2.1kAutomated safety check: NotesApache-2.0
Edu Math Videowy51ai/edulab1.4k—~2.5kAutomated safety check: NotesApache-2.0
Edu Physics Videowy51ai/edulab1.4k—~2.3kAutomated safety check: NotesApache-2.0
Vocab Chatreceptron/mulmocast-cli475—~2.5kAutomated safety check: NotesNone
Dubbingelevenlabs/skills482—~3.3kAutomated safety check: PassMIT

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Questions about Wjs Teaching English

What does Wjs Teaching English do?

A skill your agent uses 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. Wjs Teaching English is an agent skill from jianshuo/claude-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.

When should I use Wjs Teaching English?

Wjs Teaching English fits situations like: /wjs-teaching-english <word; tasks that involve Text to speech and voice; tasks that involve Translation.

How do I install Wjs Teaching English in Claude Code?

Run `npx skills add jianshuo/claude-skills --skill wjs-teaching-english -a claude-code`. Or copy the skill folder (wjs-teaching-english in jianshuo/claude-skills) into .claude/skills/wjs-teaching-english in your project. Claude Code loads it when a task matches its description.

How do I install Wjs Teaching English in Codex?

Run `npx skills add jianshuo/claude-skills --skill wjs-teaching-english -a codex`. Or copy the skill folder (wjs-teaching-english in jianshuo/claude-skills) into .agents/skills/wjs-teaching-english in your project. Codex loads it when a task matches its description.

Can I use Wjs Teaching English in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jianshuo/claude-skills --skill wjs-teaching-english -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/wjs-teaching-english, .gemini/skills/wjs-teaching-english, .github/skills/wjs-teaching-english and .opencode/skills/wjs-teaching-english in your project.

What does Wjs Teaching English need to run?

Going by SKILL.md and its folder, Wjs Teaching English needs the command-line tools its instructions call (python3, pip3 and npm). Our summary lists: Python 3.

Does Wjs Teaching English access the network?

SKILL.md names 1 domain. In commands or code: search-app-three-kappa.vercel.app; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Wjs Teaching English safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Wjs Teaching English use?

Wjs Teaching English is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Wjs Teaching English use?

About 809 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Wjs Teaching English?

Skills that share tags, products or a category with Wjs Teaching English: Edu Chem Video (wy51ai/edulab, 1.4k stars), Edu Math Video (wy51ai/edulab, 1.4k stars), Edu Physics Video (wy51ai/edulab, 1.4k stars) and Vocab Chat (receptron/mulmocast-cli, 475 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Wjs Teaching English?

jianshuo (a GitHub user) maintains it in jianshuo/claude-skills, which has 131 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on August 20, 2026.

Source: jianshuo/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.