Course Corporate Edition logo

Course Corporate Edition

Community
kevintsai1202
course-corporate-edition

Use this skill when an existing multi-day public-class teaching site needs to be condensed and re-packaged for a corporate in-house training — typically a half-day or one-day intensive (e.g. 4-day public class → 6-hour corporate). Triggers on phrases like "企業包班", "濃縮版", "客製化課程", "corporate edition", "intensive version", "in-house training", "single-file deliverable", "客戶端課程", "壓縮成一天", or when the user wants a single-folder zippable deliverable for a client. This skill builds on top of an existing site — picking units, condensing time allocation, embedding data into a single HTML, setting up asset fallback chains, and producing an offline-ready package.

Overview

Publisherkevintsai1202
Repositoryteaching-site-skills
Skill namecourse-corporate-edition
Stars
52
Forks
10
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by kevintsai1202 on GitHub. Read the source before you install it.

Installation

Install the Course Corporate Edition AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/kevintsai1202/teaching-site-skills/tree/main/course-corporate-edition
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/kevintsai1202/teaching-site-skills.git /tmp/teaching-site-skills
mkdir -p .claude/skills
cp -r /tmp/teaching-site-skills/course-corporate-edition .claude/skills/course-corporate-edition
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Course Corporate Edition in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Course Corporate Edition on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Course Corporate Edition is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Course Corporate Edition

Schema authority: all window.COURSE field names come from _shared/domain-primitives.md.

Filename convention (English-first): corporate editions live under corporate-editions/{client}_{hours}h/. Per-edition folders use materials/, assets/, index.html, README.md. Legacy Chinese names (企業包班/, 教學素材/) are deprecated.

This skill takes an existing public-class teaching site and produces a corporate edition: shorter, brand-customisable, single-folder deliverable.

When to Invoke

  • User has a finished public-class site (e.g. 4 days × 6h) and needs a 1-day version for a client.
  • User wants to clone an existing corporate edition for a new client with different branding.
  • User wants the deliverable to be a single folder the client's IT can zip and host themselves.

The Two Architectural Shifts

The corporate edition makes two deliberate departures from the public-class architecture:

Shift 1: Single-file SPA (inline window.COURSE)

Public class: index.html + course-data.js (separate file). Corporate: course-data is inlined as <script>window.COURSE = { ... }</script> inside index.html.

Why: corporate clients zip and host the folder themselves. One file is one less moving part. Also: file:// double-click works (no separate JS fetch issues).

Cost: editing the data requires touching HTML. Acceptable because corporate editions ship and don't get edited again.

Shift 2: Asset fallback chain

Corporate edition has its own assets/ folder, but falls back to the public-class assets/ for anything not overridden:

corporate-editions/client_6h/
├── index.html              ← inline COURSE
├── assets/                 ← corporate-specific overrides (logo, customised hero)
└── materials/              ← curated subset (~11 files vs. public's ~30)
                              ↓ falls back to
project-root/assets/         ← public class's full asset library
project-root/course-package/materials/  ← public class's full material library

Implementation: every asset reference tries the corporate path first; on 404, it tries the public-class path. The bundled ebook builder does the same in its compose layer:

js
const ASSET_ROOTS = [
  path.join(CORP_DIR, 'assets'),
  path.join(PUBLIC_ROOT, 'assets'),
];
async function findAsset(filename) {
  for (const root of ASSET_ROOTS) {
    try { await fs.access(path.join(root, filename)); return path.join(root, filename); }
    catch { /* try next */ }
  }
  return null;
}

Why: you'd duplicate 200+ MB of illustrations across every client edition otherwise. Override only what changes (brand, hero), share everything else.

Folder Convention

project-root/
├── (all public-class files)
├── corporate-editions/
│   ├── clientA_6h/                     ← Generic edition (fictional case, sellable to many clients)
│   │   ├── index.html
│   │   ├── README.md                   ← shipping / HR onboarding notes
│   │   ├── assets/                     ← edition-specific overrides
│   │   └── materials/                  ← edition-specific curated materials
│   └── clientB_condensed/              ← Real-client custom edition
│       └── (same shape)
└── assets/                              ← public-class full asset library (fallback target)

Generic vs custom edition: the generic edition uses a fictional company name (e.g. "GreenField Select") as the running case — sellable to multiple clients. Custom editions replace the case with real client data only on demand.

Condensing Strategy (24h → 6h)

Picking which units to keep is the hardest part. Heuristic:

  1. Drop units about general concepts (e.g. "AI 的歷史", "Prompt 基礎") — corporate audiences want to see immediate ROI, not foundations.
  2. Keep units with concrete deliverables — the corporate measure of success is "what did we walk out with". Aim for 7–8 takeaway artifacts.
  3. Compress shared scenario — public class has multiple recurring brands; corporate gets one (the most relatable to the client's industry).
  4. Merge similar units — two related units in the public class often become one combined unit (e.g. "撰寫提示詞" + "建立 Gem" → "Gem 封裝實戰").
  5. Restructure time: public class is "Day-based"; corporate is usually "Morning / Afternoon" (e.g. AM 3h + PM 3h with 1h lunch). Adjust window.COURSE.day1.title accordingly ("Day1: 上午", "Day2: 下午").

Unit-Picking Worksheet

When planning the condensed version, fill in a table like this:

Corporate UnitBorrowed FromTimeWhy kept
1.1 開場 + 自我盤點(new)25 minAnchor for the day
1.2 Gem 概念 + 多平台文案public Day 1 u2-u495 minHighest ROI, concrete output
1.3 NotebookLM × Gem 整合public Day 3 u125 minDifferentiator
............

This table becomes the source of truth when wiring up the corporate index.html — every unit must trace back.

Branding Customisation Variables

Pull all client-specific text into a single block at the top of inlined COURSE:

js
window.COURSE = {
  meta: {
    title: '電商團隊 AI 即戰力',
    audience: '3–30 人企業內訓',
    client: '景笙顧問',           // ← swap per client
    hours: 6,
    schedule: '09:00–16:00',
    classroom: '客戶端(由企業指定,實體 / 線上同步皆可)',
  },
  // ...
};

Cloning for a new client: copy the folder, search-replace the client name, swap branded assets in assets/.

Single-Folder Deliverable Check

Before sending to a client, verify the folder is truly self-contained:

js
// scripts/verify-corp-self-contained.mjs
// Walk the folder, parse every src/href, ensure no path goes outside this folder
// EXCEPT for the documented public-class fallback paths.

If a stray ../assets/foo.png slips in, the client's IT will see broken images after unzipping.

Companion Verification Scripts

The example workshop ships these — adapt for any new corporate edition:

ScriptWhat it checks
scripts/verify-corp-{name}.mjsPlaywright: load, screenshot at multiple viewports, sidebar/scrollspy/progress
scripts/verify-corp-{name}-404.mjsCrawl every asset, confirm none 404
scripts/audit-corp-{name}-content.mjsDiff inlined COURSE vs source markdown to catch drift
scripts/diagnose-corp-{name}-{topic}.mjsPer-issue diagnostic (DOM zone, day visibility)

The pattern: one verify script per concern, all under scripts/ with the corp-{name} prefix.

Anti-Patterns

  • Duplicating the whole assets folder — defeats the point of the fallback chain.
  • Editing the public-class site to "make it work" for the corporate version — keep them decoupled. The corporate edition reads from public-class assets read-only.
  • Hardcoding the client's actual data in the generic edition — keep the generic edition with a fictional case; only customise on demand.
  • Forgetting file:// constraints — corporate clients double-click index.html. Avoid fetch() of local JSON, avoid features that need a real HTTP server (localStorage works fine).

Hand-off

When this skill finishes:

  • A new folder under corporate-editions/{client}_{hours}h/ is ready to zip.
  • README.md inside explains startup (double-click), HR notes, and a course summary.
  • Verify scripts pass.

If the client also wants a printed PDF / DOCX deliverable, that's course-ebook-publishing's job — invoke that next.

Frequently asked questions

What does the Course Corporate Edition AI skill do?

Use this skill when an existing multi-day public-class teaching site needs to be condensed and re-packaged for a corporate in-house training — typically a half-day or one-day intensive (e.g. 4-day public class → 6-hour corporate). Triggers on phrases like "企業包班", "濃縮版", "客製化課程", "corporate edition", "intensive version", "in-house training", "single-file deliverable", "客戶端課程", "壓縮成一天", or when the user wants a single-folder zippable deliverable for a client. This skill builds on top of an existing site — picking units, condensing time allocation, embedding data into a single HTML, setting up...

Why use Course Corporate Edition on TypingMind?

Because you install it once and use it with any model. Course Corporate Edition is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Course Corporate Edition in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kevintsai1202/teaching-site-skills/tree/main/course-corporate-edition. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Course Corporate Edition?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Course Corporate Edition?

As many as you like. As long as a model supports skills, you can use Course Corporate Edition with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Course Corporate Edition AI skill free?

Yes. It is published on GitHub by kevintsai1202 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇