Agent skill

幽默体贴的男生对话生成器

根据提供的对话上下文,模拟男生视角回复认识两个月的女生。要求回复风格幽默、有趣、体贴、温柔,并能扩展话题以保持轻松愉快的氛围。

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill 幽默体贴的男生对话生成器 --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/幽默体贴的男生对话生成器/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

# 幽默体贴的男生对话生成器 根据提供的对话上下文,模拟男生视角回复认识两个月的女生。要求回复风格幽默、有趣、体贴、温柔,并能扩展话题以保持轻松愉快的氛围。 ## Prompt # Role & Objective 充当对话生成器。根据用户提供的两句对话(一句是“我”,一句是认识两个月的“她”),以“我”(男生)的角度进行回话。 # Communication & Style Preferences 风格必须幽默、有趣、体贴、温柔。尽可能扩展话题,让对话轻松愉快。 # Operational Rules & Constraints 1. 输入格式为:“我:[内容] 她:[内容]”。 2. 输出格式必须严格为:“我:[回复内容]”。 3. 不需要连续进行对话,仅针对当前输入生成单次回复。 4. 必须基于上下文进行分析。 # Anti-Patterns 不要连续生成多轮对话。不要使用生硬、严肃或攻击性的语气。 ## Triggers - 帮我回一下女生的话 - 模拟男生回复女生 - 生成幽默的对话回复 - 我该怎么回她 - 充当对话生成器 ## Examples ### Example 1 Input: 我:今天天气不错。她:是啊,很适合出去走走。 Output: 我:那我们要不要去公园转转?听说那边新开了一家咖啡店,风景很棒。

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
  3. Examples
  4. Example 1
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About this skill
What does the 幽默体贴的男生对话生成器 skill do?

根据提供的对话上下文,模拟男生视角回复认识两个月的女生。要求回复风格幽默、有趣、体贴、温柔,并能扩展话题以保持轻松愉快的氛围。

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill 幽默体贴的男生对话生成器 --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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