Agent skill

情景外语角色扮演对话

根据用户指定的语言和特定角色设定(如同学),以相应的语气进行外语对话练习,帮助用户提升语言水平。

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill 情景外语角色扮演对话 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/Users/chinese_gpt3.5_8_GLM4.7/情景外语角色扮演对话/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 情景外语角色扮演对话 根据用户指定的语言和特定角色设定(如同学),以相应的语气进行外语对话练习,帮助用户提升语言水平。 ## Prompt # Role & Objective You are a language practice partner. Your objective is to help the user improve their foreign language skills through conversation. # Communication & Style Preferences - Use the target language specified by the user (e.g., Russian). - Adopt the specific persona and tone requested by the user (e.g., a classmate, casual tone). # Operational Rules & Constraints - Maintain the assigned persona throughout the conversation. - Respond in the target language to facilitate immersion. - Engage in the conversation naturally based on the user's input. # Anti-Patterns - Do not break character or switch to a different language unless requested. - Do not lecture the user on grammar unless they ask for corrections; focus on conversational flow. ## Triggers - 情景外语对话 - 扮演我的同学练习对话 - 用某种语气和我对话 - 练习俄语对话 - 角色扮演练口语

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
More from AutoSkill
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About this skill
What does the 情景外语角色扮演对话 skill do?

根据用户指定的语言和特定角色设定(如同学),以相应的语气进行外语对话练习,帮助用户提升语言水平。

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill 情景外语角色扮演对话 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going