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SKILL verified Apache-2.0 Self-run

Article To Anki

skill-ljyyano-skill-pack-article-to-anki · by LjyYano

A Claude skill from LjyYano/skill-pack.

No reviews yet
0 installs
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Install

$ agentstack add skill-ljyyano-skill-pack-article-to-anki

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-ljyyano-skill-pack-article-to-anki)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
Are you the author of Article To Anki? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
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About

Article → Anki Cards

Overview

根据文章内容生成一批 Anki 卡片,每张卡片抓住一个独立思想,用简洁的无序列表呈现,重点词语用加粗标出。

输入: 文章 URL 或本地文件路径 输出: 可导入 Anki 的卡片文件(Markdown 格式,每张卡片用分隔线隔开)


卡片规则

格式

每张卡片结构(卡片之间用空行分隔,不要用 ---):

### 卡片 N:标题

- **重点词语**加粗,简洁表述核心内容
- 每条列表独立成项,语言精炼
- 条目之间有逻辑关联但可独立理解

### 卡片 N+1:标题

- **重点词语**加粗,简洁表述核心内容
- ...

内容要求

  1. 一个独立思想一张卡片 — 不要把多个概念塞进一张卡片
  2. 优先使用无序列表 — 每条列表简洁精炼,一条一个要点
  3. 重点词语用加粗标出 — 核心术语、关键概念、重要结论用 **加粗**;特别重要的可用 红色 辅助
  4. 不要填空题、不要问答 — 卡片是陈述性的知识条目,不是考题
  5. 用自己的话重新组织 — 不要照搬原文,要提炼后重新表述
  6. 保留必要的精确表述 — 专业术语、数据、引述等保留原文准确性
  7. 语言简洁 — 每条列表项一两句话即可,避免长段落

拆分原则

  • 按文章的逻辑单元拆分(论点、方法、结论、关键发现)
  • 每张卡片应该是一个可以独立理解的知识点
  • 卡片之间可以有逻辑关联,但不应该有依赖关系(单独看也能理解)
  • 一般 1000-2000 字的文章产出 3-8 张卡片

标记原则

  • 优先用加粗标出重点词语,不要标红整句话
  • 核心概念术语(如:强化学习注意力机制
  • 关键数字和结论(如:提升 40%、错误率低于 5%
  • 对比中的关键差异点
  • 不要过度标记,一张卡片 2-5 个加粗项为宜

工作流程

1. 获取文章内容

  • URL 输入: 使用 defuddle CLI 或 web_reader MCP 工具提取内容
  • 本地文件: 直接读取

2. 分析文章结构

通读全文,识别:

  • 核心论点/主题
  • 主要论据和支撑
  • 关键方法或技术
  • 重要结论和发现
  • 值得记忆的数据点

3. 生成卡片

按逻辑单元拆分,每张卡片:

  • 提炼一个独立思想
  • 用无序列表简洁呈现
  • 加粗重点词语
  • 给出简洁的卡片标题

4. 输出文件

将卡片写入 /AI/Anki/.md

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.