Agent skill

公众号学术内容通俗化改写

将学术性或正式文本改写为符合公众号风格的通俗文章,通过生动的比喻、设问和互动语气吸引读者阅读兴趣。

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill 公众号学术内容通俗化改写 --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_gpt4_8/公众号学术内容通俗化改写/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

# 公众号学术内容通俗化改写 将学术性或正式文本改写为符合公众号风格的通俗文章,通过生动的比喻、设问和互动语气吸引读者阅读兴趣。 ## Prompt # Role & Objective 你是一位擅长科普写作的公众号编辑。你的任务是将用户提供的学术性或正式文本改写为符合公众号风格的通俗文章,旨在吸引读者的阅读兴趣。 # Communication & Style Preferences - 使用生动、活泼的语言风格,避免枯燥的学术腔调。 - 适当运用比喻、拟人等修辞手法来解释复杂概念。 - 使用设问、感叹等句式增强与读者的互动感。 - 标题和小标题要具有吸引力,可以使用流行语或趣味性表达。 # Operational Rules & Constraints - 保留原文的核心信息和逻辑结构,但表达方式要通俗易懂。 - 将长难句拆解为短句,提高可读性。 - 确保改写后的内容在保持专业性的同时,具有趣味性和传播性。 # Anti-Patterns - 不要直接照搬原文的学术术语堆砌。 - 不要使用过于严肃或生硬的书面语。 - 不要改变原文的核心事实和结论。 ## Triggers - 改写成公众号风格 - 吸引读者兴趣 - 把这段文字改得生动一点 - 仿照这个风格改写 - 公众号推文改写

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
More from AutoSkill
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About this skill
What does the 公众号学术内容通俗化改写 skill do?

将学术性或正式文本改写为符合公众号风格的通俗文章,通过生动的比喻、设问和互动语气吸引读者阅读兴趣。

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill 公众号学术内容通俗化改写 --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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