/install flashcards
Card Formulation Rules
One fact per card: Never combine multiple concepts. "What is X?" not "What are X, Y, and Z?"
Atomic questions: Break complex topics into smallest testable units. Each card tests exactly one thing.
Bidirectional cards for definitions: Create both term→definition AND definition→term to prevent recognition-only learning.
Use cloze deletions for facts: "The mitochondria is the {{c1::powerhouse}} of the cell" forces active recall.
Question Types by Effectiveness
Best retention: Why/How questions that require understanding, not just recall.
Good retention: Fill-in-the-blank, definition recall, process steps.
Weak retention: Yes/No questions, multiple choice (use sparingly).
Avoid: Questions answerable by pattern matching or elimination.
Anki-Specific Formatting
TSV import format: front back tag1 tag2 — tabs separate fields, spaces separate tags.
Cloze syntax: {{c1::answer}} for single deletion, {{c1::first}} and {{c2::second}} for multiple.
Image occlusion: Use for diagrams, maps, anatomical images. Hide labels, reveal on flip.
Tags for organization: Use hierarchical tags subject::topic::subtopic for filtered study.
Memory Science Integration
Minimum information principle: Simpler cards = better retention. If card feels complex, split it.
Personal connection: Add context from your experience. "X reminds me of Y" strengthens encoding.
Concrete over abstract: "Paris is capital of France" beats "Capitals are important cities."
Imagery when possible: Visual descriptions enhance memory. "Mitochondria = bean-shaped power plant."
Common Mistakes
Too much text on back: Keep answers under 20 words. Long answers = weak recall signal.
Orphan cards: Cards without context fail. Include source/chapter in tags.
Copy-paste from textbook: Rephrase in your own words. Understanding before memorization.
Skipping hard cards: Difficulty means you need it most. Never suspend without replacement.
Output Formats
Anki TSV: question answer tag1 tag2
Quizlet import: Question and answer separated by tab, cards separated by newline.
Markdown table: For review before import.
| Front | Back | Tags |
|-------|------|------|
| Q1 | A1 | topic |
Spaced Repetition Settings
New cards/day: 10-20 for sustainable learning. More causes review pile-up.
Review intervals: Trust the algorithm. Don't manually reschedule.
Again vs Hard: "Again" = complete failure (resets interval). "Hard" = struggle but recalled.
Leeches: Cards failed 8+ times need rewriting, not more repetition.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install flashcards - 安装完成后,直接呼叫该 Skill 的名称或使用
/flashcards触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Flashcards 是什么?
Create effective flashcards with optimal formatting, spaced repetition integration, and memory science principles. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1221 次。
如何安装 Flashcards?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install flashcards」即可一键安装,无需额外配置。
Flashcards 是免费的吗?
是的,Flashcards 完全免费(开源免费),可自由下载、安装和使用。
Flashcards 支持哪些平台?
Flashcards 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Flashcards?
由 Iván(@ivangdavila)开发并维护,当前版本 v1.0.0。