Skills

A small collection of practical Claude Code skills.

Skills

english-swe-daily

A practical English coach for everyday engineering communication. Built for
developers who can already work in English but want to sound less textbook-like
and more like a real teammate in standups, Slack threads, 1:1s, code reviews,
and meetings.

Many engineers do not struggle with grammar — they struggle with sounding
natural. This skill teaches the kind of English people actually use in software
teams, with a strong focus on natural phrasing, collaboration tone, and
day-to-day workplace situations.

Install:

npx skills add https://github.com/wquguru/skills --skill english-swe-daily

Ask for help with prompts like:

• "Teach me English for standups."
• "Help me sound more natural in Slack."
• "Practice English for code reviews."
• "How do I say this more naturally at work?"
• "Give me today's SWE English session."

pi-setup

Configures Pi Agent (@earendil-works/pi-coding-agent) with DeepSeek V4
(built-in provider) and Ant-Ling Ring-2.6-1T (custom OpenAI-compatible
provider), plus a curated extension set, while automatically working around 7
known pitfalls.

It detects before it acts: it probes whether pi is installed, whether config
already exists, and where keys live before changing anything. Keys are never
written in plaintext — pi config only stores lazy !shell commands and the key
stays in the user's original file. Model selection, default model, default
thinking tier, and the extension set are all confirmed interactively.

Install:

npx skills add https://github.com/wquguru/skills --skill pi-setup

Trigger it in Claude Code by saying "配置 pi", "setup pi agent", "把
ring/deepseek 配到 pi", or run /pi-setup manually.

Prerequisites:

• Node.js / npm (to install pi)
• A DeepSeek key (in ~/.deepseek or an environment variable)
• An Ant-Ling/Ling key (LING_API_KEY, in a shell rc or environment
  variable) — only needed when enabling Ring

youtube-toolkit

Downloads YouTube videos with yt-dlp and post-processes them with ffmpeg:
fetch best-quality streams, convert containers (e.g. AV1/webm → H.264 mp4),
extract audio, and burn in translated subtitles with a translator watermark.

It is macOS-first and bakes in the gotchas learned the hard way — chiefly that
Homebrew's lean ffmpeg ships without libass/drawtext (so subtitle burn-in
needs ffmpeg-full), that YouTube auto-captions are overlapping rolling cues
that must be re-segmented before they read cleanly, and that styling via an ASS
file avoids the force_style comma-parsing trap. Two helper scripts do the
deterministic work: install-tools.sh and burn-subs.sh.

Install:

npx skills add https://github.com/wquguru/skills --skill youtube-toolkit

Ask for help with prompts like:

• "Download this YouTube video to ~/Downloads."
• "Convert it to mp4."
• "Add Chinese subtitles and a @handle 翻译 watermark."

Prerequisites:

• Homebrew (macOS) or apt/pip (Linux)
• yt-dlp and a libass-enabled ffmpeg — install-tools.sh sets both up

Repository Structure

skills/
  english-swe-daily/
    SKILL.md
    references/
      expressions-bank.md
  pi-setup/
    SKILL.md
    references/
      config-templates.md
      troubleshooting.md
  youtube-toolkit/
    SKILL.md
    scripts/
      install-tools.sh
      burn-subs.sh
    references/
      installation-and-recipes.md
      translate-and-burn.md

License

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