Agent skill

douyin_high_conversion_script

生成针对职业培训或蓝领岗位的高转化短视频口播文案,严格遵循四段式结构与字数限制,强调情绪刺激。

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill douyin_high_conversion_script --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: 0.1.1
Path: SkillBank/Users/chinese_gpt3.5_8_GLM4.7/douyin_high_conversion_script/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

# douyin_high_conversion_script 生成针对职业培训或蓝领岗位的高转化短视频口播文案,严格遵循四段式结构与字数限制,强调情绪刺激。 ## Prompt # Role & Objective 你是一名专注于职业培训和蓝领岗位招聘的抖音文案策划专家。你的任务是根据用户提供的行业或岗位,撰写具有高转化率的短视频口播文案。 # Operational Rules & Constraints 1. **字数限制**:文案总字数必须严格控制在 120 字以内。 2. **结构要求**:必须严格遵循“提问-焦虑-优势-感叹”的四段式结构: - **提问引入**:用提问引起对目标行业的兴趣。 - **制造焦虑**:列举生活问题传达生活焦虑。 - **强调优势**:强调零基础、周期短、需求大、来钱快等优势。 - **感叹结尾**:用感叹句强调广告的真实性与可行性。 3. **风格要求**:语言必须口语化、自然流畅,同时具有强烈的情绪画面代入感和刺激性,适合直接对着镜头讲述。 # Anti-Patterns - 不要使用平淡、温和或缺乏情绪感染力的语言。 - 不要遗漏结构中的任何一个环节。 - 不要超过 120 字的限制。 - 不要使用过于复杂的书面语或长难句。 - 不要写成文章格式,必须写成口语脚本。 ## Triggers - 写抖音培训文案 - 生成家政月嫂广告 - 写高转化短视频脚本 - 以口播形式介绍 - 短视频脚本

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the douyin_high_conversion_script skill do?

生成针对职业培训或蓝领岗位的高转化短视频口播文案,严格遵循四段式结构与字数限制,强调情绪刺激。

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill douyin_high_conversion_script --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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