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Agent Skill · 开发

anki(anki 开发)

anki 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

anki 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 16,848。

总安装 465周安装 19GitHub Stars 33下载 150核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:anki(anki 开发)
来源仓库:https://github.com/mblode/agent-skills
仓库路径:skills/anki
安装命令:
npx skills add https://github.com/mblode/agent-skills --skill anki
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/mblode/agent-skills --skill anki

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

anki 用于处理 GitHub 仓库、Issue、Pull Request 等协作信息。适合在 Codex、Claude、Cursor、Gemini CLI 中整理代码变更和协作事项时使用。通过 GitHub 安装,使用 npx skills add 命令添加指定仓库的 skill。

安装前需确认权限范围、维护状态,以及是否会触发联网或命令执行。anki 属于开发类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/anki

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/mblode/agent-skills --skill anki;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

anki 怎么安装?

在终端执行 npx skills add https://github.com/mblode/agent-skills --skill anki。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

anki 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

anki 需要什么权限?

权限级别是需要联网。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。

anki 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

anki 用的人多吗?

公开数据是累计安装 465 次,近一周安装 19 次,下载 150 次,GitHub 33 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

anki 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
anki

anki 开发 · 本页

46533需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Anki Flashcard Generator

Generate Anki flashcards from any source material. Produces TSV files ready for direct import.

Reference Files

FileRead When
references/card-design-rules.mdDefault: card construction, anti-patterns, bidirectional rules
references/tsv-format-spec.mdFormatting output as TSV
references/difficulty-calibration.mdApplying difficulty and quantity settings

Parameters

Ask the user for these before generating. Default to Standard / Medium if not specified.

Number of cards

SettingCardsStrategy
Fewer15-25High-priority concepts only. Every card earns its place.
Standard30-50Balanced coverage. Core concepts plus important supporting detail.
More60-100+Comprehensive. Includes nuance, edge cases, and worked examples.

Difficulty

LevelCognitive taskCard style
EasyRecognition, definition, identification"What is X?", "Define X", single-fact cloze
MediumApplication, comparison, analysis"Why does X matter?", "Compare X and Y", multi-cloze
HardSynthesis, evaluation, multi-step reasoning"How would you apply X to Y?", scenario-based, chained cloze

Workflow

- [ ] 1. Collect source material
- [ ] 2. Confirm parameters
- [ ] 3. Identify key concepts
- [ ] 4. Assign topics and priorities
- [ ] 5. Choose card types
- [ ] 6. Draft cards
- [ ] 7. Format as TSV
- [ ] 8. Self-review
- [ ] 9. Output

1. Collect source material

Read the provided content (transcript, document, skill, etc.). Every card must trace to the source material. Do not generate cards from general knowledge.

2. Confirm parameters

Ask the user for card count and difficulty if not specified. Default to Standard / Medium.

3. Identify key concepts

Extract core facts, definitions, relationships, formulas, benchmarks, and frameworks from the source. Group by topic.

4. Assign topics and priorities

Map each concept to a topic tag (kebab-case). Assign priority levels:

  • priority::high — Core concepts that appear repeatedly or underpin other ideas
  • priority::medium — Supporting detail that strengthens understanding
  • priority::low — Reference knowledge, nice to have

5. Choose card types

Select the card type based on what is being tested:

Basic — Direct Q&A for explanations, reasoning, comparisons, processes.

  • Front: A specific question. Never yes/no. Never vague ("Tell me about X").
  • Back: Concise answer with <b>bold</b> on the key phrase the learner must recall.

Reversed (bidirectional) — For terminology, translations, concept ↔ example pairs.

  • Generate two separate Basic cards: Term → Definition AND Definition → Term.
  • Only reverse when both directions produce useful recall. Do NOT reverse explanatory or reasoning cards.
  • Tag both cards with reversed modifier.

Cloze — For port numbers, specific values, command syntax, formulas, numeric benchmarks.

  • Text: Complete sentence with {{c1::blanks}} replacing key values.
  • Use multiple deletions (c1, c2, c3...) when values belong to one coherent fact.
  • Tag with formulas for formulas, benchmarks for numeric thresholds.

6. Draft cards

Write each card following the design rules in references/card-design-rules.md. Apply difficulty calibration from references/difficulty-calibration.md.

7. Format as TSV

Format cards following the exact specification in references/tsv-format-spec.md.

8. Self-review

Check every card against the quality checklist below. Remove or rewrite any that fail.

9. Output

Present Basic cards and Cloze cards as separate TSV code blocks. Include count summary and import instructions:

  1. Open Anki → File → Import
  2. Select the TSV file
  3. Set note type to "Basic" or "Cloze" as appropriate
  4. Map fields: Field 1 → Front/Text, Field 2 → Back/Extra, Field 3 → Tags

Quality Checklist

Every card must pass all of these:

  • Atomic — Tests exactly one fact. If you need "and" to describe what it tests, split it.
  • 8-second rule — A prepared learner can answer in under 8 seconds.
  • Source-grounded — The answer comes from the provided source material, not general knowledge.
  • Useful for recall — Tests meaningful knowledge, not trivial facts.
  • No orphans — The learner can understand this card without needing another card first.
  • Bold highlight — The answer has at least one <b>bold</b> phrase marking the key recall target.
  • Specific question — The front asks a precise question, not "Tell me about X".
  • No yes/no — Never a question answerable with yes or no.
  • No shopping lists — Never "List the 7 types of..." (break into individual cards or use cloze).
  • Tagged — Has exactly one topic tag and one priority level.
  • Difficulty-appropriate — Matches the requested difficulty level.

Tag Syntax

Tags are space-separated within the Tags field. Order: topic tag, then priority, then modifiers.

topic-name priority::high
topic-name priority::medium formulas
topic-name priority::low reversed
  • Topic tags: kebab-case (python-basics, web-security)
  • Hierarchical topics: use :: separator (networking::protocols)
  • Priority: priority::high, priority::medium, priority::low
  • Modifiers: formulas, benchmarks, reversed

Output Format

Basic cards:

Question text here	Answer with <b>bold</b> key terms	topic-tag priority::level

Cloze cards:

Text with {{c1::blanks}} for key values		topic-tag priority::level formulas

Note: Cloze cards have an empty second field (two consecutive tabs).

平台分布

Codex

39.37%
按下载量换算59

Claude

29.55%
按下载量换算44

Cursor

19.44%
按下载量换算29

Gemini CLI

8.54%
按下载量换算13

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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