skills: Practical Agent Skills — English-for-engineers coaching, Pi Agent setup, and more. Install via npx skills add

by wquguru · Claude Skill · ★ 91

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install skills

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

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 64/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

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Quick Facts

Stars91
Forks6
LanguageHTML
CategoryClaude Skill
Quality Score64/100
Last Updated2026-10-07
Created2026-03-26
Platformsclaude-code
Est. Tokens~17k

About skills

Skills A small collection of practical Claude Code skills. Skills 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.

Compatible Skills

These tools work well together with skills for enhanced workflows:

  • skills-janitor — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)
  • ServiceGraph — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • the-startup — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Claude Skill tools