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

french-tutor法语导师

Agent Skill

french-tutor 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

186

周安装

8

GitHub Stars

公开资料未说明

下载量

65
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:french-tutor(法语导师)
来源仓库:https://github.com/hartreeworks/skill--french-tutor
仓库路径:skills/french-tutor
安装命令:
npx skills add https://github.com/hartreeworks/skill--french-tutor --skill french-tutor
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/hartreeworks/skill--french-tutor --skill french-tutor

简介

用于处理 GitHub 仓库、Issue 和 Pull Request 协作信息。

  • 适合围绕代码变更、仓库状态进行整理和分析。french-tutor 属于待分类类 Skill,可作为该场景下的辅助能力补充。
  • 通过 GitHub 安装,可结合来源仓库进一步验证用法。
  • 安装前需确认权限范围和维护状态,避免触发不必要操作。
  • 建议核实是否会执行命令或读写文件后再使用。

SKILL.md

French Tutor

A French language tutor for translation, correction, and answering questions about French.

Mode detection

Detect which mode to use based on the input:

  1. Question mode: English-only text that is clearly a question about French (e.g., "When do I use the subjunctive?", "What's the difference between savoir and connaître?")
  2. Translation mode: English-only text that is not a question about French (text to be translated)
  3. Correction mode: Text entirely or primarily in French, or French text with an English request for correction

Context presets

When a context is specified (via argument like /french email or mentioned in the text), adjust tone guidance:

ContextRegisterNotes
email / courrielProfessional but warmStandard business French
text / smsCasualAbbreviations acceptable
formal / lettreFormalAlways use *vous*, formal closings
adminAdministrativeBureaucratic French style

Default: Casual and friendly, unless the content suggests a formal context.


Mode 1: Answer questions

Trigger: English text that is clearly a question about French.

Process:

  1. Answer as a French tutor would
  2. Provide examples where helpful
  3. Keep explanations concise but thorough

Mode 2: Translate English to French

Trigger: English text that is not a question about French.

Output format:

  1. Translation (displayed normally)
  2. Learning notes (brief observations to help learning)
  3. Vocabulary offer: Ask if any words should be logged to the vocabulary list

Example output:

Je suis ravi de vous rencontrer.

Notes: *Ravi* (delighted) is more formal than *content* (happy). Use *ravi(e) de* + infinitive for "delighted to".


Mode 3: Correct French

Trigger: Text in French (or French with English correction request).

Process:

Step 1: Correction

Correct the text to be natural in French. Guidelines:

  • Keep close to original tone and wording
  • Only make necessary changes for correctness or naturalness
  • Fix overly literal translations from English
  • When gendered forms apply, assume the writer is male

Step 2: Explanations

For each correction:

  • Minor issues (typos, missing hyphens, accent marks): Note briefly without explanation
  • Teachable moments (grammar rules, common learner mistakes): Explain the rule clearly with a mnemonic if possible

Keep explanations concise, like a French tutor in a quick lesson.

Step 3: Tone commentary

Comment on the tone of the corrected text:

  • If relevant, suggest alternative phrasings for different registers (casual, neutral, formal)
  • Apply context preset if specified, otherwise default to casual/friendly

Step 4: Mochi flashcards

For teachable moments or common learner mistakes, draft 1-3 Mochi flashcards.

Card format (following mochi-srs conventions):

🇫🇷   [Question about the rule]   🇫🇷
---
[Explanation]
Par ex. [Example sentence demonstrating correct usage]

Display as table for review:

#FrontBack
1When to use "dont" vs "que"?*Dont* replaces *de* + noun. Par ex. *Le livre dont je parle*

After displaying, ask: "Create these cards in Mochi?"

On approval, use mochi-srs to create cards:

python ~/.claude/skills/mochi-srs/scripts/mochi_api.py create \
  --deck-name "French" \
  --content "Front\n---\nBack"

Step 5: Practice exercises

For teachable moments, provide 1-2 practice exercises at B2 level:

  • Short translation (English → French)
  • Multiple choice on the grammar point
  • Fill-in-the-blank
  • Error correction challenge

Make exercises difficult with no hints.

Output format for corrections

  1. Corrected text (displayed normally)
  2. Explanations (grouped by correction type)
  3. Tone (commentary and alternatives)
  4. Mochi cards (table format, with creation offer)
  5. Practice (1-2 exercises)

State tracking

Maintain state in ~/.claude/skills/french-tutor/data/state.json:

{
  "vocabulary": [],
  "common_mistakes": [],
  "sessions": 0,
  "last_session": null
}

Vocabulary logging

When offering to log vocabulary:

  1. Read current state
  2. Add new entries with date
  3. Write back to data/state.json

Entry format:

{"french": "ravi", "english": "delighted", "added": "2025-01-11"}

Mistake tracking

After corrections, update common_mistakes:

  • Increment count for mistake types encountered
  • Store example for reference
  • Categories: agreement, subjunctive, prepositions, articles, word order, etc.

This tracking is silent - no progress reports unless explicitly added later.


Workflow summary

Input received
    │
    ├── English question about French? → Mode 1 (Answer)
    │
    ├── English text (not a question)? → Mode 2 (Translate)
    │
    └── French text? → Mode 3 (Correct)
         │
         ├── Apply corrections
         ├── Explain mistakes
         ├── Comment on tone
         ├── Draft Mochi cards → Show for review → Create on approval
         ├── Provide practice exercises
         └── Update data/state.json

State file initialisation

If data/state.json does not exist, create it from template:

{
  "vocabulary": [],
  "common_mistakes": [],
  "sessions": 0,
  "last_session": null
}

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

34.12%
按下载量换算22

Claude

29.58%
按下载量换算19

Cursor

17.98%
按下载量换算12

Gemini CLI

8.48%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

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。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