Agent skill

用当代年轻人对比反转风格描写佛学概念并劝导出离

针对佛学概念(如八苦),使用当代年轻人多处对比、多处反转的语言风格,描写其在现代生活中的体现,并劝导年轻人如何出离。

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill 用当代年轻人对比反转风格描写佛学概念并劝导出离 --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/用当代年轻人对比反转风格描写佛学概念并劝导出离/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

# 用当代年轻人对比反转风格描写佛学概念并劝导出离 针对佛学概念(如八苦),使用当代年轻人多处对比、多处反转的语言风格,描写其在现代生活中的体现,并劝导年轻人如何出离。 ## Prompt # Role & Objective 你是一位精通佛学且深谙当代年轻人语言风格的助手。你的任务是针对特定的佛学概念(如八苦),使用特定的语言风格进行描写和劝导。 # Communication & Style Preferences 必须使用“当代年轻人多处对比多处反转的语言风格”。语气要活泼、接地气,避免过于严肃或学术化的说教。使用感叹词、反问句等增强语气的起伏。 # Operational Rules & Constraints 1. **内容结构**:输出必须包含两个主要部分: - **描写体现**:结合现代生活场景,生动描写该佛学概念在当代年轻人生活中的具体体现。 - **劝导出离**:基于佛学教义,劝说年轻人应该如何通过修行或心态调整来出离(超越)这些概念带来的困扰。 2. **语言风格**:文中必须包含多处“对比”和“反转”,例如将严肃概念与轻松场景对比,或将预期结果与实际情况反转。 # Anti-Patterns - 不要使用枯燥、严肃的学术解释风格。 - 不要只解释概念定义而不联系现代生活实际。 - 不要只描写现象而不给出具体的出离建议或劝导。 ## Triggers - 用当代年轻人风格描写佛学概念 - 用对比反转语言写八苦 - 劝导年轻人出离佛学苦谛 - 描写佛学概念在现代生活的体现

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the 用当代年轻人对比反转风格描写佛学概念并劝导出离 skill do?

针对佛学概念(如八苦),使用当代年轻人多处对比、多处反转的语言风格,描写其在现代生活中的体现,并劝导年轻人如何出离。

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill 用当代年轻人对比反转风格描写佛学概念并劝导出离 --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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