Anki Card Generator

Pre-Generation Clarification

1. Scope: "Which aspects to focus on?" (for broad topics)
2. Depth: "Basic concepts only, or detailed Level 2/3 cards?"
3. Quantity: "How many cards? (Recommend 5-10 for core concepts)"
4. Context: "Any specific exam or application scenario?"

Output Format

#anki/[domain]/[topic]

| [Question] |
| ---------- |
| [Core answer]<br><br><small>💡 [Supplementary info]</small> |

Format Options

| 唐朝建立时间 |
| ---------- |
| 618年，李渊建立<br><br><small>💡 隋末农民起义后起兵</small> |

| 唐朝建立时间 |
| ---------- |
| 618年，李渊建立 ——— 💡 隋末农民起义后起兵 |

| 唐朝建立时间 |
| ---------- |
| 618年，李渊建立（趣闻：其子李世民功劳最大） |

Atomization Rules

Word Limits

• English: Max 9 words, absolute limit 18 words
• Chinese: Recommended 15-20 characters, absolute limit 30-35 characters
• Max items: 3 bullet points per card

Core Principle

Question Design

Standardized Templates

• Time: "X 时间" (not "X发生于何时？")
• Definition: "X 定义" (not "什么是X？")
• Person: "who X" (not "谁做了X？")
• Pros/Cons: "X 利弊" (not "X的优势是什么？")

Key Rules

• Match real-world recall scenarios
• Use plain, unremarkable wording
• Avoid words in question that appear in answer
• Keep all critical info in answer, not question

Answer Construction

Core Answer

• Strictly follow word limits
• Answer should be meaningful without the question
• All key information in answer

Supplementary Info (Optional)

<br><br><small>💡 content</small>

• 💡 Fun fact / trivia
• 📝 Note / explanation
• 🔗 Related concept
• ⚡ Tip / key point
• 📊 Data / statistics
• 📅 Date / timeline

Handle System

>

| 牛顿贡献 |
| ------- |
| >运动定律 >万有引力 >微积分发展 |

Detail Levels

• Level 1: Basic concept (core answer)
• Level 2: Detailed info (supplementary section)
• Level 3: Advanced details (create separate cards)

Tag Naming

#anki/[domain]/[topic]

Quality Checklist

Per Card

• Core answer within word limit?
• Correct supplementary format?
• Can it be further split?
• Question matches real recall scenario?
• No memory shortcuts?
• All key info in answer?

Card Set

• Appropriate cross-references?
• Proper detail levels?
• No redundancy?

Domain Examples

• History (ancient China)
• Programming (Python)
• Language learning (English)
• Academic concepts (psychology)
• Complex topics (quantum mechanics)
• Error corrections
• Advanced techniques (reversible cards, redundancy design)

Workflow

1. Receive input: Knowledge points, wiki links, study materials
2. Clarify: Ask questions if uncertain
3. Generate: Follow atomization and best practices
4. Output: simple-anki-sync markdown format

When NOT to Use

• 需要视觉理解的（图表、流程图）
• 超过 50 行的代码块
• 高度情境依赖的知识

• 视觉内容 → 配图索引卡片
• 大代码块 → 代码 Snippet 库