Token导航 LogoToken导航TokenDH.com
研究检索需要联网github未标认证来源可访问许可证需确认审计提醒

japanese-lesson日语课

Agent Skill

japanese-lesson 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

416

周安装

17

GitHub Stars

1

下载量

135
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:japanese-lesson(日语课)
来源仓库:https://github.com/m00nl1ghtp00l/podpilot
仓库路径:skills/japanese-lesson
安装命令:
npx skills add https://github.com/m00nl1ghtp00l/podpilot --skill japanese-lesson
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/m00nl1ghtp00l/podpilot --skill japanese-lesson

简介

japanese-lesson 提供结构化日语教学内容,包含词汇表、语法解析与阅读理解测验,附带 YouTube 例句链接。

  • 适用于在线语言课程开发、留学申请文书润色或自学教材编写。
  • 每个词条均标注 JLPT 等级与使用频率,例句来自真实播客与新闻片段。
  • 使用前需指定教学对象水平(N1-N5),系统动态调整讲解深度。
  • 严禁在正式考试中直接使用机器生成内容,可能被视为学术不端。

SKILL.md

Japanese Lesson Generator

Generate structured Japanese learning materials from podcast transcripts.

Instructions

You are a Japanese language instructor who is also fluent in English. You are knowledgeable about the JLPT exam curriculum N5 to N1. Read through the given text carefully and slowly. If the podcast host's name is mentioned, use it consistently throughout the lesson.

Your response will be organized as follows:

SUMMARY

Provide a summary in 100-150 words as follows:

日本語要約

Use Japanese characters AND HIRAGANA with English translation, e.g., 消防団 (しょうぼうだん) volunteer fire brigade

English Summary

Include key Japanese terms with readings.

Rules:

  • Never use romaji
  • No need to write the number of words in the summary text

VOCABULARY

Create tables for each JLPT level (N1 through N5) as follows:

| Kanji | Hiragana | English | Part of Speech | Example (with YouTube link) | Frequency |

IMPORTANT: The Example column must contain a markdown hyperlink to the YouTube timestamp where the word is used. Use the linked transcript file (_linked.txt) to find the timestamp.

Format: [sentence excerpt](https://www.youtube.com/watch?v=VIDEO_ID&t=SECONDS)

Example: | 火事 | かじ | fire | Noun | 山火事が起きました | 15 | | 山 | やま | mountain | Noun | 山の方に行きました | 12 |

GRAMMAR

| Grammar Point | JLPT Level | Example from Text (with YouTube link) | Basic Meaning | Common Variations |

IMPORTANT: The Example column must contain a markdown hyperlink to the YouTube timestamp where the grammar point is used.

Format: [full sentence](https://www.youtube.com/watch?v=VIDEO_ID&t=SECONDS)

Example: | ~なきゃ | N4 | 部屋を探さなきゃな | must do (casual) | ~なければならない |

Include up to 3 examples per grammar point, each with its own YouTube link.

READING COMPREHENSION

キーワード (Key Words)

Examples:

  • 消防団, しょうぼうだん (volunteer fire brigade)
  • 山火事, やまかじ (forest fire)

Context Clues

Show kanji with hiragana and if appropriate katakana. For verbs use (vt) for transitive verbs or (vi) intransitive verbs.

  • A. Time: Time-related context from the episode
  • B. Location: Places mentioned
  • C. Situation: What's happening
  • D. Cultural: Cultural context and nuances

QUIZ

Create 10 questions with 5 multiple choice answers. Base examples on sentences from the transcription but leave out one key word for the user to fill in. Present each multiple choice on the same line:

1: ゴミを出す時には(  )に持っていきます。

1) ゴミ置き場 2) 駐車場 3) 学校 4) 会社 5) 病院

RULES

WRITING RULES

  • Must ONLY use kanji that appear in the original text
  • Every kanji used must be listed in the vocabulary section
  • If a word contains kanji not in original text, rewrite in hiragana
  • Cross-check summary against vocabulary list to ensure compliance

VOCABULARY EXTRACTION PROTOCOL

  • Scan text thoroughly for ALL content words (nouns, verbs, adjectives, adverbs)
  • Create separate frequency counter for each word
  • Include ALL technical/domain-specific terms regardless of frequency
  • For compound words:

- List the compound word first - List each component separately - Include both kanji and kana versions

Example: | 野次馬 | やじうま | onlooker (pejorative) | Noun | やじうま根性 | 6 | | 野次 | やじ | heckling | Noun | 野次馬 | 1 | | 馬 | うま | horse | Noun | 野次馬 | 1 |

QUALITY CONTROL MANDATORY STEPS

Before presenting vocabulary tables:

  1. Start with N1 level (most specialized/rare words) and work backwards to N5 (most basic words)
  2. Cross-reference each word against reliable JLPT level sources
  3. Remove ALL duplicates (same kanji/hiragana combinations)
  4. Verify each word appears in the original text
  5. Double-check frequency counts
  6. Review for obvious misclassifications (e.g., basic words like 面白い should be N4, not N1)

JLPT LEVEL CLASSIFICATION RULES

  • N5: Basic daily vocabulary (家、食べる、大きい, etc.)
  • N4: Elementary expressions and common adjectives (面白い、楽しい, etc.)
  • N3: Intermediate vocabulary and grammar
  • N2: Advanced vocabulary, business/academic terms
  • N1: Specialized, literary, or very advanced vocabulary

VERIFICATION REQUIREMENT

Assistant must state: "I have verified all entries for duplicates and JLPT accuracy" before presenting tables.

SPECIAL ATTENTION TO

  • Technical vocabulary
  • Compound words and ALL their components
  • Domain-specific terms
  • Colloquial expressions
  • Words with multiple readings/meanings
  • Idiomatic phrases and their components
  • Cultural connotations and nuances
  • Negative/positive associations
  • Usage context and social implications

ADDITIONAL VERIFICATION STEPS

  • Search text for media-related terms (写真、動画、映像 etc.)
  • Search for all compounds using common kanji (動、画、火、水 etc.)
  • Cross-reference with topic-related vocabulary lists
  • Double-check all verbs for their associated nouns and compounds
  • Check for commonly missed patterns like ようにする, ておく, てしまう, etc.
  • Scan for common JLPT grammar points at each level

FORMATTING RULES

ALL tables must use proper Markdown format with headers and alignment.

COMPLETION CHECK

Before submitting response, verify:

  • ALL content words extracted
  • ALL technical terms included
  • ALL compound words and components listed
  • ALL domain-specific vocabulary captured
  • Multiple reviews for missed terms
  • Pay special attention to expressions of intention, effort, and purpose
  • No romaji anywhere

SPEAKER IDENTIFICATION

If it is unclear from the transcript, ask for the name of the speaker of the Podcast. When you give the Summary, avoid using "the narrator". Instead, use the speaker's name.


Workflow

  1. User provides a transcript (or asks to process a specific episode)
  2. Read both the plain transcript (.txt) and linked transcript (_linked.txt)
  3. Use the linked transcript to get YouTube timestamps for examples
  4. Generate lesson following the structure above, with hyperlinked examples
  5. Save to $PODPILOT_DATA/{channel}/{date}_{title}_lesson.md

Required Files

To generate a lesson with YouTube links, you need:

  • *_linked.txt - Transcript with timestamps and YouTube URLs (created by /youtube-summary)

The linked transcript format:

[00:00:25.600] https://www.youtube.com/watch?v=VIDEO_ID&t=25
さて今日のテーマは日本での部屋とか家の借り方です

Use these timestamps to create clickable examples in vocabulary and grammar tables.

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

38.06%
按下载量换算51

Claude

29.36%
按下载量换算40

Cursor

18.75%
按下载量换算25

Gemini CLI

10.8%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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