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Tslj Title

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liuhaisi2026212-maker
tslj-title

收丹:标题。视频剪完没标题、对现有标题不满意、想判断一个标题好不好时使用。先从内容里提炼“总”,再用“跟我有关”(认人、认事、认心)从陌生人视角出标题,每个标注它让观众觉得跟自己有关的理由。

Overview

Publisherliuhaisi2026212-maker
Repositorytaishang-laojun
Skill nametslj-title
Stars
330
Forks
53
Bundled files
Instructions only
Links
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by liuhaisi2026212-maker on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/liuhaisi2026212-maker/taishang-laojun/tree/main/skills/tslj-title
  4. 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.
2

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/liuhaisi2026212-maker/taishang-laojun.git /tmp/taishang-laojun
mkdir -p .claude/skills
cp -r /tmp/taishang-laojun/skills/tslj-title .claude/skills/tslj-title
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tslj 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 Tslj 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 Tslj 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.

收丹:标题

先读炉心第一、二条。

视频剪完,标题是收的这一炉丹。柳爷想一个标题的时间,基本和做这条视频的时间一样长。

三个前提

  1. 标题不等于选题:选题划定人群,决定上限;标题决定这群人里有多少愿意点开、看下去。两者都不能单独保证数据。
  2. 标题后置:柳爷的标题全是拍完、剪完之后想的,会反复看剪好的视频,提炼要点。没有确定的内容,不出标题。已有完整稿可以先拟,剪完再核对。
  3. 标题的三种职能:
    • 补全信息:画面和口播没交代的背景;
    • 制造期待:让观众想知道这条到底要说什么;
    • 承担“总”:开头要下钩子、要反常识、要带情绪,两秒里装不下全片的总结,就让标题当“总”,开头当“分”。

柳爷习惯把标题放在封面前两秒的位置,让观众被语言和画面吸引的同时,也被标题吸引。

核心规则:跟我有关

陌生人看到标题的一瞬间,潜意识里要觉得这跟我有关:观众自己从标题里认出了某样东西。

  • 认人:认识的人。“马斯克放大招,Grok 完全上手指南”:你信不信这人没关系,马斯克先吸引一堆人的眼光,“上手指南”让人愿意看两三秒。名人只是认知对象,不能写成未经证实的合作或推荐。
  • 认事:大家都认可、都知道的事。“Claude 封号,换个思路试试”:前半句是大家都认可的事,想听你聊一聊;后半句回答“看你干嘛”,给出期待。这是一种两段式。
  • 认心:观众潜意识里一直在琢磨、但没说出来的话。大家刷到的全是“一人公司赚钱、很好”,观众心里其实在想“都这么说,肯定是割韭菜,肯定有坑”。把这句没说出口的话变成标题:“一人公司有个致命的缺点”。这是柳爷最看重的切口。
  • 地点、身份、处境也算:“北京”对住在北京的人就是“跟我有关”。

用陌生人的眼睛检查

创作者知道视频里有什么,观众不知道,观众是从零开始的陌生人。柳爷两个失败的标题:

  • “AI 工具怎么选,花小钱办大事”:太笼统,陌生人的第一反应是“你是谁?你凭什么?”
  • “Codex 竟然帮他省了几十个 W”:观众的反应是“帮他省了,跟我有什么关系?”

检查清单:

  • 陌生人第一眼会不会问“你是谁、凭什么”?会的话,标题里有没有一个他认识的人、认可的事,或者内容里有没有足够的证据接住?
  • 有没有“跟我有关”的落点?
  • 看完能得到什么、会变成什么,钩子埋了吗?(“你的 Codex 是垃圾还是封神,就差这两件事”:看完你就知道了。)
  • 这个标题在承担哪项职能:补信息、给期待,还是当“总”?
  • 只有能力宣告、没有具体对象的标题(空泛的“我教你”)通常缺可信度;已有具体证据或明确的受众关系时另当别论。

工作流程

  1. 读内容:从对话里提取,或者请用户说清视频讲了什么、开头是什么、核心证据是什么。没有内容不出标题,标题必须从内容里长出来。
  2. 提炼要点:把视频压成一两句话(这就是标题可以替开头承担的那个“总”,但对用户别用这个字)。
  3. 出标题:默认最多 3 个;用户要一个就只给一个,不强行凑齐三种来源。每个配一句大白话理由:陌生人为什么会点。认人、认事、认心是你的思考工具,可以写在括号里,但理由本身必须是用户一看就懂的话。最后明确推荐一个,说为什么。
  4. 检查:按上面的清单过一遍,不过的换掉。健康、医疗、安全、法律、理财类内容,标题不能只留让人安心的一半(只说“这很正常”,不说什么时候不正常),被单独转发也不能让人忽视危险信号。核对标题里新增的时间、次数、因果、比较关系有没有原文依据;“又”“终于”这类普通副词也可能暗示用户没提供的经历。

输出参考

需要多个标题时可以这样排,按请求删减:

markdown
**这条视频一句话说的是**:{一两句}

1. {标题}:{陌生人为什么会点,大白话}
2. …

**推荐**:第 {n} 个,{为什么}

**原标题的问题**(有原标题时):{一句话}

理由用大白话,不用“认知差”“信息差”这类分析腔。个人口吻优先用已有样本,缺样本不强制访谈。不承诺流量,标题好坏只讲机制。不交封面设计和正文改写。

Frequently asked questions

What does the Tslj Title AI skill do?

收丹:标题。视频剪完没标题、对现有标题不满意、想判断一个标题好不好时使用。先从内容里提炼“总”,再用“跟我有关”(认人、认事、认心)从陌生人视角出标题,每个标注它让观众觉得跟自己有关的理由。

Why use Tslj Title on TypingMind?

Because you install it once and use it with any model. Tslj 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 Tslj Title in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/liuhaisi2026212-maker/taishang-laojun/tree/main/skills/tslj-title. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Tslj 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 Tslj Title?

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

Is the Tslj Title AI skill free?

It is published on GitHub by liuhaisi2026212-maker. Check the repository for licensing terms. 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.

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