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flashcardsflashcards 效率

Agent Skill

flashcards 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

37,271

周安装

1,601

GitHub Stars

2

下载量

13,064
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:flashcards(flashcards 效率)
来源仓库:https://github.com/ivangdavila/flashcards
安装命令:
openclaw skills install flashcards
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install flashcards

简介

flashcards 提供基于记忆科学原理的抽认卡生成与管理功能,提升学习效率。

  • 适用于教育、考试准备或知识巩固等需要结构化记忆支持的场景。
  • 集成间隔重复机制,自动优化复习节奏以增强长期记忆效果。
  • 通过 clawhub 安装,专为 OpenClaw Agent 设计,支持自然语言交互调用。
  • 注意检查 API 依赖和权限设置,避免因外部服务限制影响运行。

SKILL.md

name
Flashcards
description
Create effective flashcards with optimal formatting, spaced repetition integration, and memory science principles.

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.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

76.76%
按下载量换算10,028

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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