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Flashcards

作者 Iván · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
1221
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2
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2
当前安装
1
版本数
在 OpenClaw 中安装
/install flashcards
功能描述
Create effective flashcards with optimal formatting, spaced repetition integration, and memory science principles.
使用说明 (SKILL.md)

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.

安全使用建议
This skill appears low-risk and internally consistent: it only provides flashcard-writing rules and export formats, and it asks for no installs or credentials. Because the source/homepage is unknown, review generated cards before importing them into your study tools and avoid putting sensitive personal data into cards. If you prefer that the model not autonomously invoke this skill, disable model invocation or require explicit user invocation in your agent settings.
功能分析
Type: OpenClaw Skill Name: flashcards Version: 1.0.0 The OpenClaw AgentSkills skill bundle is benign. It consists of standard metadata in `_meta.json` and detailed instructions in `SKILL.md` for an AI agent on how to create effective flashcards. The `SKILL.md` content is purely instructional, focusing on formatting, memory science principles, and common mistakes, without any evidence of malicious intent, data exfiltration, unauthorized execution, persistence mechanisms, or prompt injection attempts designed to compromise the agent or its environment.
能力评估
Purpose & Capability
The name and description match the SKILL.md content: guidance for creating flashcards, Anki/Quizlet formats, and spaced-repetition advice. There are no unrelated environment variables, binaries, or install steps requested.
Instruction Scope
The SKILL.md contains only content-creation rules, formatting examples, and study recommendations. It does not instruct the agent to read system files, access environment variables, call external endpoints, or transmit data outside the user context.
Install Mechanism
No install spec or code files are present; this is instruction-only so nothing is downloaded, extracted, or written to disk by design.
Credentials
No environment variables, credentials, or config paths are requested — proportional and appropriate for a purely authoring/formatting skill.
Persistence & Privilege
The skill does not set always:true or other elevated persistence flags. Model invocation defaults to allowed, which is reasonable for a non-sensitive, instruction-only skill.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install flashcards
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /flashcards 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release
元数据
Slug flashcards
版本 1.0.0
许可证
累计安装 2
当前安装数 2
历史版本数 1
常见问题

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。

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