Token导航 LogoToken导航TokenDH.com
开发需要联网github未标认证来源可访问许可证需确认审计通过

ankianki 开发

Agent Skill

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。

总安装

465

周安装

19

GitHub Stars

33

下载量

150
CodexClaudeCursorGemini CLI

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

unknown

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: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

简介

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。

SKILL.md

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).

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

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。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

继续浏览同类 Skills