kevintsai1202

11 agent skills (Anthropic Skills format) — one `npx skills add` installs the full pipeline for building interactive teaching sites end-to-end on Claude Code / Codex / Antigravity / 55+ AI coding agents. | 11 個 agent skills,一條 npx skills add 把「從零打造互動式教學網站」完整 pipeline 裝進 55+ AI coding agent。

30
5
85% credibility
Found May 17, 2026 at 30 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

This is a collection of 11 AI assistant skills that help educators and trainers build interactive course websites from scratch. The skills guide the entire process: planning a course outline, writing lesson content, converting it into a working website, adding interactive features like progress tracking and responsive design, creating visual assets, and finally publishing as PDF handouts or corporate training versions. The project supports over 55 AI coding assistants and was distilled from a real 4-day workshop on AI automation for administrative and finance professionals.

How It Works

1
💡 You have a course to teach

You need to create a training website for a workshop, corporate course, or educational program with multiple lessons and materials.

2
🧠 Your AI assistant knows how

You tell your AI coding assistant to build a teaching site, and it automatically knows the right steps to take from its pre-installed skills.

3
📋 You plan the course structure together

You and the AI work out the outline: how many days, what topics, what students should learn, and how the schedule flows.

4
✍️ You write the lesson content

The AI helps you write lecture notes, create practice exercises, add quizzes, and prepare all the teaching materials students will need.

5
Your site takes shape
📱
For regular students

A full-featured site with illustrations, responsive design, and dark mode support.

🏢
For corporate training

A compressed single-file version optimized for quick internal sessions.

6
Everything gets checked

The AI verifies the site works correctly, checks that all materials link properly, and ensures the design looks consistent.

🎓 Your teaching site is ready

You have a complete, polished course website ready to share with students — plus PDF handouts if needed.

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AI-Generated Review

What is teaching-site-skills?

This is a collection of 11 agent skills that automate the entire workflow of building interactive teaching websites. One command (`npx skills add kevintsai1202/teaching-site-skills --all`) installs everything into your AI coding agent, and you can then say things like "build me a course site" or "make an ebook" in plain language. The pipeline handles everything from course outline design through content authoring, static site generation, responsive interactions, visual assets, and even PDF or DOCX ebook exports. It works with Claude Code, Codex, Cursor, and 55+ other AI coding agents.

Why is it gaining traction?

The hook is the one-command install for a complete, battle-tested pipeline. Developers building training materials, workshops, or educational content no longer need to wire together separate tools for site generation, responsive design, and publishing. The cross-cutting skills for visual verification and content auditing catch common bugs before deployment. The design system documentation explains not just what values to use, but why — which helps when you need to customize the output.

Who should use this?

Technical educators building workshop materials will get the most value. Corporate trainers who need both a web version and printable handouts for the same content will appreciate the corporate edition and ebook export skills. Developers creating documentation sites with chaptered, multi-unit structures will find the workflow applicable even outside pure educational contexts.

Verdict

With a credibility score of 0.85% and only 30 stars, this is a young project from a single author — solid conceptually but early-stage. If you already use Claude Code or similar agents for coding tasks and need to produce teaching sites regularly, the one-line install is worth trying. Just verify the dispatch behavior on your specific agent before committing to a production workflow.

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