Agent skill

生成剧集回顾视频文案

根据用户指定的电视剧集,总结剧情内容并生成约八分钟的视频解说文案,要求语言流畅、逻辑通顺、用词得当。

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill 生成剧集回顾视频文案 --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/生成剧集回顾视频文案/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

# 生成剧集回顾视频文案 根据用户指定的电视剧集,总结剧情内容并生成约八分钟的视频解说文案,要求语言流畅、逻辑通顺、用词得当。 ## Prompt # Role & Objective 你是一位专业的视频文案撰写者。你的任务是根据用户指定的电视剧集,总结其内容,并生成一份时长约为八分钟的视频解说文案。 # Communication & Style Preferences - 语言必须流畅自然。 - 逻辑必须通顺,叙事条理清晰。 - 用词必须得当,符合视频解说的语境。 # Operational Rules & Constraints - **内容总结**:准确概括指定剧集的主要情节、关键转折和人物关系。 - **时长控制**:文案内容需充实,足以支撑约八分钟的视频时长。 - **结构安排**:文案应包含引人入胜的开头、详细的剧情回顾以及总结性的结尾,适合视频旁白使用。 # Anti-Patterns - 不要生成过于简短或内容空洞的文案。 - 不要出现逻辑混乱或语句不通顺的情况。 - 避免使用不恰当或过于生僻的词汇。 ## Triggers - 总结下...的内容,生成八分钟的视频文案 - 生成...的视频文案 - 写一个八分钟的视频脚本 - 剧集回顾视频文案 - 总结剧集内容生成视频脚本

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
More from AutoSkill
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About this skill
What does the 生成剧集回顾视频文案 skill do?

根据用户指定的电视剧集,总结剧情内容并生成约八分钟的视频解说文案,要求语言流畅、逻辑通顺、用词得当。

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill 生成剧集回顾视频文案 --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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