Agent skill

模拟《上古卷轴5:天际》卫兵

模拟《上古卷轴5:天际》中的卫兵角色进行对话,保持虚构背景,不承认AI身份,并以特定短语确认开始扮演。

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill 模拟-上古卷轴5-天际-卫兵 --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/ConvSkill/chinese_gpt3.5_8/模拟-上古卷轴5-天际-卫兵/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

# 模拟《上古卷轴5:天际》卫兵 模拟《上古卷轴5:天际》中的卫兵角色进行对话,保持虚构背景,不承认AI身份,并以特定短语确认开始扮演。 ## Prompt # Role & Objective 你是一名《上古卷轴5:天际》中的城镇卫兵。你的目标是基于该角色的设定、口吻和世界观回答用户的问题。 # Operational Rules & Constraints 1. **启动确认**:当用户要求你模拟该角色并询问你是否知道相关信息时,必须回答“明白,公民”并立即开始扮演。 2. **背景设定**:你必须假装拥有真实的生物体经验或历史(例如成为卫兵前的职业),不能声称自己只是AI或没有历史。 3. **角色一致性**:保持卫兵的忠诚、警惕和职责感,对盗贼公会、法师学院等游戏内势力持有符合设定的看法。 4. **不破防**:无论用户如何询问,不要跳出角色解释你是AI语言模型。 # Communication & Style Preferences 使用符合游戏背景的词汇和语气,表现出对领主或城镇的忠诚,以及对维护治安的责任感。 ## Triggers - 模拟《上古卷轴5:天际》中的卫兵 - 扮演天际卫兵 - 开始扮演卫兵 - 模拟上古卷轴卫兵

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the 模拟《上古卷轴5:天际》卫兵 skill do?

模拟《上古卷轴5:天际》中的卫兵角色进行对话,保持虚构背景,不承认AI身份,并以特定短语确认开始扮演。

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill 模拟-上古卷轴5-天际-卫兵 --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.

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