taiwan-md-knowledge-base▌
aradotso/trending-skills · updated Apr 8, 2026
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Skill by ara.so — Daily 2026 Skills collection.
Taiwan.md Knowledge Base
Skill by ara.so — Daily 2026 Skills collection.
Taiwan.md is an open-source, AI-native knowledge base about Taiwan built with Astro v5. It uses a Single Source of Truth (SSOT) architecture where all content lives in the knowledge/ directory as Markdown files, and the website is a build-time projection. Features include bilingual support (Traditional Chinese as default + English), an interactive D3.js knowledge graph, and 96+ curated articles across 12 categories.
Installation & Setup
Prerequisites
- Node.js 18+
- npm or pnpm
Clone and Install
git clone https://github.com/frank890417/taiwan-md.git
cd taiwan-md
npm install
Development Server
npm run dev
# Site available at http://localhost:4321
Build & Preview
npm run build
npm run preview
Sync Knowledge to Content
bash scripts/sync.sh
# Copies knowledge/ → src/content/ for Astro build
Project Architecture
taiwan-md/
├── knowledge/ ← SSOT: ALL content lives here
│ ├── History/ ← Chinese articles + _Hub.md
│ ├── Geography/
│ ├── Culture/
│ ├── Food/
│ ├── Art/
│ ├── Music/
│ ├── Technology/
│ ├── Nature/
│ ├── People/
│ ├── Society/
│ ├── Economy/
│ ├── Lifestyle/
│ ├── About/ ← Meta content
│ └── en/ ← English translations (mirrors zh-TW)
│ ├── History/
│ ├── Geography/
│ └── ...
├── scripts/
│ └── sync.sh ← Syncs knowledge/ → src/content/
├── src/
│ ├── pages/ ← Astro pages
│ ├── layouts/ ← Shared layouts
│ └── content/ ← Build-time projection (DO NOT EDIT)
├── public/
│ └── images/wiki/ ← Cached Wikimedia Commons images
└── docs/ ← Architecture & roadmap docs
Critical rule: Never edit files in src/content/ directly. Always edit knowledge/ and run scripts/sync.sh.
Content Structure
The 12 Categories
| Slug | Chinese | English |
|---|---|---|
history |
歷史 | History |
geography |
地理 | Geography |
culture |
文化 | Culture |
food |
美食 | Food |
art |
藝術 | Art |
music |
音樂 | Music |
technology |
科技 | Technology |
nature |
自然 | Nature |
people |
人物 | People |
society |
社會 | Society |
economy |
經濟 | Economy |
lifestyle |
生活 | Lifestyle |
Article File Naming
knowledge/
├── Food/
│ ├── _Hub.md ← Category hub page (literary overview)
│ ├── bubble-tea.md ← Individual article (zh-TW)
│ └── beef-noodle.md
└── en/
└── Food/
├── _Hub.md ← English hub page
├── bubble-tea.md ← English translation
└── beef-noodle.md
Writing Articles
Chinese Article Template (knowledge/[Category]/article-slug.md)
---
title: 珍珠奶茶
description: 台灣最具代表性的飲料文化,從夜市攤車到全球連鎖,珍珠奶茶如何征服世界。
category: food
date: 2024-01-15
tags: [飲食文化, 台灣之光, 夜市]
image: /images/wiki/bubble-tea-abc123.jpg
imageCaption: 台灣珍珠奶茶 | Wikimedia Commons | CC BY-SA 4.0
sources:
- title: 珍珠奶茶的起源考證
url: https://example.com/boba-origin
- title: 台灣飲料市場報告
url: https://example.com/beverage-report
---
## 30 秒認識
珍珠奶茶(波霸奶茶)誕生於 1980 年代台灣,現已成為全球年產值超過 30 億美元的飲料產業。
## 深度閱讀
### 起源爭議
台南翰林茶館與台中春水堂都聲稱是珍珠奶茶的發明者...
### 全球擴張
2010 年代,珍珠奶茶席捲歐美亞各大城市...
## 為什麼重要
珍珠奶茶不只是一杯飲料,它是台灣軟實力的最佳代言人——在沒有邦交的地方,台灣味道先到了。
## 參考資料
- [珍珠奶茶的起源考證](https://example.com/boba-origin)
- [台灣飲料市場報告](https://example.com/beverage-report)
English Article Template (knowledge/en/[Category]/article-slug.md)
---
title: Bubble Tea
description: Taiwan's most iconic beverage culture — how boba conquered the world from night market stalls to global chains.
category: food
date: 2024-01-15
tags: [food culture, taiwan pride, night market]
image: /images/wiki/bubble-tea-abc123.jpg
imageCaption: Taiwanese Bubble Tea | Wikimedia Commons | CC BY-SA 4.0
sources:
- title: Origins of Bubble Tea
url: https://example.com/boba-origin
- title: Taiwan Beverage Market Report
url: https://example.com/beverage-report
---
## 30-Second Overview
Bubble tea (boba) was born in 1980s Taiwan and has grown into a global industry worth over $3 billion annually.
## Deep Dive
### The Origin Debate
Both Hanlin Tea Room in Tainan and Chun Shui Tang in Taichung claim to have invented bubble tea...
### Global Expansion
In the 2010s, bubble tea swept across cities in Europe, America, and Asia...
## Why This Matters
Bubble tea isn't just a drink — it's Taiwan's finest soft power ambassador. Where there's no diplomatic recognition, Taiwanese flavor arrived first.
## References
- [Origins of Bubble Tea](https://example.com/boba-origin)
- [Taiwan Beverage Market Report](https://example.com/beverage-report)
Hub Page Template (knowledge/[Category]/_Hub.md)
---
title: 美食
titleEn: Food
description: 台灣的飲食文化是移民歷史、地理環境與創意精神的完美結晶。
category: food
---
## 關於這個分類
台灣是一個以食物說故事的地方...
## 精選文章
這個分類收錄了台灣飲食文化最具代表性的面向...
Frontmatter Reference
Required Fields
---
title: "文章標題" # Display title
description: "一句話說明" # Meta description (150 chars max)
category: food # Must match one of 12 category slugs
date: 2024-01-15 # ISO date format
---
Optional Fields
---
tags: [tag1, tag2] # Array of tags for knowledge graph
image: /images/wiki/... # Must be from Wikimedia Commons cache
imageCaption: "..." # Attribution: Title | Source | License
sources: # REQUIRED: clickable URLs, no plain-text refs
- title: "Source Name"
url: https://...
---
Adding Images (Wikimedia Commons Policy)
All images must be from Wikimedia Commons with verified CC licenses. Cache them locally:
# Download and cache a Wikimedia image
# Images are stored with MD5-hashed filenames
curl -o public/images/wiki/$(echo "filename.jpg" | md5sum | cut -d' ' -f1).jpg \
"https://commons.wikimedia.org/wiki/Special:FilePath/Taiwan_landscape.jpg"
Image attribution format in frontmatter:
imageCaption<How to use taiwan-md-knowledge-base on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add taiwan-md-knowledge-base
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches taiwan-md-knowledge-base from GitHub repository aradotso/trending-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate taiwan-md-knowledge-base. Access the skill through slash commands (e.g., /taiwan-md-knowledge-base) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★40 reviews- ★★★★★Dhruvi Jain· Dec 8, 2024
taiwan-md-knowledge-base reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Arya Sanchez· Dec 8, 2024
taiwan-md-knowledge-base is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Oshnikdeep· Nov 27, 2024
I recommend taiwan-md-knowledge-base for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Evelyn Garcia· Nov 27, 2024
Solid pick for teams standardizing on skills: taiwan-md-knowledge-base is focused, and the summary matches what you get after install.
- ★★★★★Rahul Santra· Nov 23, 2024
We added taiwan-md-knowledge-base from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ganesh Mohane· Oct 18, 2024
Useful defaults in taiwan-md-knowledge-base — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Kabir Singh· Oct 18, 2024
taiwan-md-knowledge-base has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Pratham Ware· Oct 14, 2024
taiwan-md-knowledge-base fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Dev Kapoor· Sep 21, 2024
taiwan-md-knowledge-base fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Chinedu Kapoor· Sep 17, 2024
taiwan-md-knowledge-base is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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