News Editorial Title

Community

kangarooking

news-editorial-title

当用户需要为产品文案撰写"像新闻一样"的吸引眼球标题时调用此 skill。适用于需要建立权威感、新鲜感的产品推广场景，特别是新品发布、技术突破、明星同款等。不适用于日常温馨类产品、情感类文案或私域朋友圈文案。关键触发信号：用户提到"标题""点击率""新闻感""权威感""曝光""新品"等词。

Overview

Publisher	kangarooking
Repository	`viral-copywriting-skill`
Skill name	`news-editorial-title`
Stars	80
Forks	12
Bundled files	1
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by kangarooking on GitHub. Read the source before you install it.

Installation

Install the News Editorial Title AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/kangarooking/viral-copywriting-skill/tree/main/news-editorial-title
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/kangarooking/viral-copywriting-skill.git /tmp/viral-copywriting-skill
mkdir -p .claude/skills
cp -r /tmp/viral-copywriting-skill/news-editorial-title .claude/skills/news-editorial-title

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable News Editorial Title in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads News Editorial Title on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so News Editorial Title is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

新闻社论标题法

R — 原文 (Reading)

新闻社论式标题就是让标题看起来像一条重要新闻。方法分三步：第一步，树立新闻主角，就是"傍大款"，傍上明星地区、著名公司或知名人物；第二步，加上即时性词语，比如"今天""2017年""这个夏天"；第三步，加上重大新闻常用词，比如"全新""曝光""突破""发现"。

— 关健明, 第四章 4.1

I — 方法论骨架 (Interpretation)

核心原理：人们对"新闻"天然有好奇心和信任感，把广告标题伪装成新闻，能大幅提升打开率。
三步公式：新闻主角（傍大款）+ 即时性词语 + 重大新闻常用词。
第一步——树立新闻主角：找到产品能"傍"上的知名元素——明星地区（硅谷、好莱坞）、著名公司（苹果、谷歌）、知名人物（某个领域的权威）。这个主角越有名，标题越有分量。
第二步——加即时性词语：注入时间紧迫感，如"今天""2017年""这个夏天""刚刚"。让读者觉得这是"此刻正在发生的事"，激发即时好奇心。
第三步——加重大新闻常用词：用"全新""曝光""突破""发现""揭秘"等词，暗示这是一条"大事"，值得点击了解。
关键点：三个元素缺一不可。没有主角就没有权威感，没有即时词就没有紧迫感，没有新闻词就没有"大事感"。

A1 — 书中的应用 (Past Application)

案例 1: 咖啡产品——"硅谷2017年新发明"

问题: 咖啡市场竞争激烈，普通标题如"醇香咖啡，限时特惠"难以脱颖而出。
方法论的使用:
- 新闻主角：硅谷（全球科技创新圣地，自带权威光环）
- 即时性词语：2017年（具体年份，暗示新鲜）
- 重大新闻词：新发明（暗示突破性成果）
结论: "硅谷2017年新发明"把一杯普通咖啡包装成了科技前沿产品。
结果: 标题点击率大幅提升，因为"硅谷+新发明"组合触发了强烈的好奇心和信任感。

案例 2: NBA球鞋——"全明星赛上场鞋曝光"

问题: 运动鞋广告铺天盖地，如何让一款球鞋脱颖而出。
方法论的使用:
- 新闻主角：NBA全明星赛（全球最顶级的篮球赛事）
- 即时性词语：隐含在赛事的时效性中
- 重大新闻词：曝光（暗示独家揭秘）
结论: "全明星赛上场鞋曝光"让读者觉得这不是广告，而是一条体育新闻。
结果: 球鞋爱好者出于"想知道球星穿什么"的好奇心点进去，转化为购买意愿。

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill?

新品上市，需要一个有新闻感的标题来吸引第一波关注。
产品有技术突破、专利创新、权威认证等"硬核"卖点，适合用新闻形式呈现。
产品与知名品牌/人物/地区有关联，需要放大这个关联来借势。
竞品广告都是常规套路，需要用"不像广告"的标题来突围。

语言信号

"标题怎么写才有点击率"
"怎么让标题有新闻感"
"新品推广标题怎么写"
"怎么傍大款写标题"
"广告标题怎么写得不像广告"

与相邻 skill 的区分

与 friend-chat-title 的区别: 那个走"亲切口语"路线，像朋友聊天；本 skill 走"权威新闻"路线，像媒体报道。两者风格完全不同，适用于不同产品调性。
与 practical-tip-title 的区别: 那个以"痛点+解决方案"吸引人；本 skill 以"新闻事件"吸引人，不直接点出痛点。
与 justified-consumption 的区别: 那个是购买理由重构，处理的是"犹豫下单"的问题；本 skill 处理的是"标题吸引点击"的问题。

E — 可执行步骤 (Execution)

找到产品的"傍大款"元素（新闻主角）
- 完成标准: 列出产品能关联的所有知名地区、公司、人物、事件，选出最有名、最自然的那一个。
选择即时性词语
- 完成标准: 确定一个具体的时间表达（年份/季节/今天/刚刚），让标题有"正在发生"的感觉。
选择重大新闻常用词
- 完成标准: 从"全新/曝光/突破/发现/揭秘/首度"中选出最贴合产品特性的词。
组合三要素，写出完整标题
- 完成标准: 将"新闻主角+即时性词+新闻词"组合成一条通顺、有吸引力的标题。
检验标题是否"像新闻而不像广告"
- 完成标准: 把标题拿给3个人看，如果他们觉得"这是一条新闻"而不是"这是一条广告"，就通过了。

B — 边界 (Boundary) ★

不要在以下情况使用此 skill

产品本身走温馨、情感、亲切路线（如母婴用品、手工糕点），新闻式标题会显得生硬违和。
私域运营（朋友圈、社群）场景，用户更信任"真人说话"而非"新闻播报"。
产品没有可"傍"的知名元素，强行编造会损害品牌诚信。
标题党风险高的平台（如已被监管的渠道），过度新闻化可能被处罚。

作者在书中警告的失败模式

傍的大款与产品毫无关系，读者点进去发现"被骗"，跳出率极高。
即时性词语过期（如"2017年新发明"在2024年看就失效了），标题需要定期更新。
新闻词滥用（什么都"曝光"什么都"突破"），读者审美疲劳后不再相信。

作者的盲点 / 时代局限

2017年"傍大款"策略在当前自媒体环境中可能面临合规风险（如未经授权使用名人/品牌名义）。
短视频时代的标题逻辑与图文时代不同，新闻式标题在抖音/小红书的信息流中可能不够"炸裂"。
消费者对"伪装成新闻的广告"越来越警惕，部分平台已要求广告标注"推广"标识。

审计信息

验证通过: V1 ✓ / V2 ✓ / V3 ✓
测试通过率: 待测
蒸馏时间: 2026-05-02

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

test-prompts.json2 KB

Frequently asked questions

What does the News Editorial Title AI skill do?

Why use News Editorial Title on TypingMind?

Because you install it once and use it with any model. News Editorial Title is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install News Editorial Title in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kangarooking/viral-copywriting-skill/tree/main/news-editorial-title. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use News Editorial Title?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with News Editorial Title?

As many as you like. As long as a model supports skills, you can use News Editorial Title with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the News Editorial Title AI skill free?

Yes. It is published on GitHub by kangarooking under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Content Engine

affaan-m

CommunityPopular

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content…

Domain Modeling

Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a CONTEXT.md, or recording or editing an ADR.

Writing Fragments

Writing, explore: mine raw fragments, no structure yet.

Writing For Agents

Writing documents for agents. Use when creating or editing skills, or modifying AGENTS.md or CLAUDE.md.

News Editorial Title

Overview